Ultrasonic imaging device and ultrasonic imaging method

Abstract

The invention provides an ultrasonic imaging device and an ultrasonic imaging method. The device comprises an ultrasonic probe; the transmitting circuit excites the ultrasonic probe to transmit ultrasonic waves; the receiving circuit controls the ultrasonic probe to receive echoes of the ultrasonic waves to obtain ultrasonic echo signals; the processor is used for processing the ultrasonic echo signal to obtain image data of the digestive organ; identifying a focus area and M digestive wall layers of the digestive organ according to the image data; acquiring relative positions between the focus area and the M digestive wall layers; generating at least two first penetration graphs, wherein the relative position of each digestion wall layer graph and the focus graph in each first penetration graph is consistent with the relative position of the corresponding digestion wall layer and the focus area; and the display is used for simultaneously displaying the at least two first penetration graphs. Through the ultrasonic imaging device and the ultrasonic imaging method, a user can intuitively and efficiently judge the penetration condition of the focus area to the digestive wall layer.

Description

Technical Field

[0001] The present invention relates to the technical field of ultrasonic imaging, and in particular to an ultrasonic imaging device and an ultrasonic imaging method. Background Art

[0002] Diseases of digestive organs such as the gastrointestinal tract are common and frequently occurring diseases of the digestive system. Among them, gastritis, gastric ulcer and gastric cancer are the most common gastric diseases. According to statistics from the World Health Organization, the incidence of gastric diseases in the population is as high as 80%, and there are about 120 million gastrointestinal disease patients in China. At present, there are many means and methods for gastric disease examination, including Helicobacter pylori insufflation examination, gastric X-ray combined with barium meal examination, gastric CT examination, gastroscopy, capsule gastroscopy and gastric ultrasound filling examination.

[0003] Gastric ultrasound filling examination is a procedure in which the doctor uses a probe to scan the patient's cardia, gastric fundus, gastric body, gastric antrum, gastric pylorus and duodenum in turn after the patient has taken oral contrast agent, obtaining gastric ultrasound images and providing diagnostic hints. Compared with other examination methods such as gastroscopy, gastric ultrasound filling examination has a higher diagnostic priority in gastric T staging because it is non-invasive and easy to observe the hierarchical structure of the gastric wall.

[0004] In gastric ultrasound examination, locating positive gastric masses and evaluating the TNM stage of the masses are of great value for the clinical diagnosis of patients. However, at present, there are still the following problems to be solved: ① The types of gastric lesions are complex and the boundaries of lesions are difficult to confirm. Doctors need to clarify the gastric wall layer that the lesions have broken through before making T stage assessment, which is highly dependent on the doctor's experience; ② The gastric wall structure has poor contrast in B images, and it is difficult for doctors to clearly determine the level and range of (smaller) lesions by browsing the original images.

[0005] Although with the development of artificial intelligence and ultrasound image processing, more and more research focuses on the development of auxiliary diagnosis and visualization tools, the currently commonly used intelligent diagnosis and display methods are mainly concentrated in: ① detection and layered display of different levels of gastric wall structure; ② analysis and differentiated display of gastric space-occupying tissue components. These two methods have optimized the work of doctors to a certain extent, but neither directly solves the pain point of "gastric wall penetration assessment" and has limited effect on assisting doctors in making T staging assessments. Summary of the invention

[0006] According to a first aspect, an embodiment provides an ultrasonic imaging device, comprising:

[0007] Ultrasound probe;

[0008] A transmitting circuit, wherein the transmitting circuit excites the ultrasonic probe to transmit ultrasonic waves toward the digestive organs of the subject;

[0009] A receiving circuit, wherein the receiving circuit controls the ultrasonic probe to receive the ultrasonic echo returned by the digestive organ to obtain an ultrasonic echo signal;

[0010] Processor for:

[0011] Processing the ultrasonic echo signal to obtain image data of the digestive organ;

[0012] Identifying the lesion area of ​​the digestive organ and M digestive wall layers according to the image data, where M is an integer greater than or equal to 2;

[0013] Obtaining the relative position between the lesion area and the M digestive wall layers;

[0014] Generate at least two first penetration maps, each of the first penetration maps includes a lesion pattern and N digestive wall layer patterns, N is an integer greater than or equal to 1 and less than M, the lesion pattern represents the lesion area, each digestive wall layer pattern represents one digestive wall layer, and M digestive wall layer patterns corresponding to M digestive wall layers are distributed in at least two first penetration maps, and the relative position of each digestive wall layer pattern and the lesion pattern in each of the first penetration maps is consistent with the relative position of the corresponding digestive wall layer and the lesion area;

[0015] The display is used to simultaneously display at least two of the first penetration images to reflect the penetration of the lesion area through the M digestive wall layers.

[0016] According to a second aspect, an embodiment provides an ultrasonic imaging device, comprising:

[0017] Ultrasound probe;

[0018] A transmitting circuit, wherein the transmitting circuit excites the ultrasonic probe to transmit ultrasonic waves toward the digestive organs of the subject;

[0019] A receiving circuit, wherein the receiving circuit controls the ultrasonic probe to receive the ultrasonic echo returned by the digestive organ to obtain an ultrasonic echo signal;

[0020] Processor for:

[0021] Processing the ultrasonic echo signal to obtain image data of the digestive organ;

[0022] Identifying the lesion area of ​​the digestive organ and M digestive wall layers according to the image data, where M is an integer greater than or equal to 2;

[0023] Obtaining the relative position between the lesion area and the M digestive wall layers, and obtaining the penetration of the lesion area into the M digestive wall layers according to the relative position;

[0024] Generate a third penetration map, the third penetration map comprising a lesion pattern and M digestive wall layer patterns, the lesion pattern representing the lesion area, each digestive wall layer pattern representing one digestive wall layer, and the relative position of each digestive wall layer pattern and the lesion pattern in the third penetration map is consistent with the relative position of the corresponding digestive wall layer and the lesion area;

[0025] The display area is used to display the third penetration map, and in the third penetration map, the digestive wall layer graphics corresponding to the digestive wall layers with different penetration conditions are distinguished and displayed to reflect the penetration conditions of the lesion area on the M digestive wall layers.

[0026] According to a third aspect, an embodiment provides an ultrasonic imaging device, comprising:

[0027] Ultrasound probe;

[0028] A transmitting circuit, wherein the transmitting circuit excites the ultrasonic probe to transmit ultrasonic waves toward the digestive organs of the subject;

[0029] A receiving circuit, wherein the receiving circuit controls the ultrasonic probe to receive the ultrasonic echo returned by the digestive organ to obtain an ultrasonic echo signal;

[0030] Processor for:

[0031] Processing the ultrasonic echo signal to obtain image data of the digestive organ;

[0032] identifying the lesion area and multiple digestive wall layers of the digestive organ according to the image data;

[0033] Obtaining the relative position between the lesion area and the plurality of digestive wall layers, and obtaining the penetration of the lesion area into each of the digestive wall layers according to the relative position;

[0034] Distinguishing target digestive wall layers and non-target digestive wall layers among the plurality of digestive wall layers according to the penetration conditions, wherein the target digestive wall layer is a digestive wall layer penetrated by the lesion area, and the non-target digestive wall layer is a digestive wall layer not contacted by the lesion area;

[0035] When there are P target digestive wall layers, at least one fourth penetration map is generated, wherein P is a positive integer; each of the fourth penetration maps includes a lesion graphic for characterizing the lesion area and at least one target digestive wall layer graphic for characterizing the target digestive wall layer, and the fourth penetration map does not include a non-target digestive wall layer graphic for characterizing a non-target digestive wall layer, and the P target digestive wall layer graphics corresponding to the P target digestive wall layers are distributed in at least one fourth penetration map, and the relative position of each target digestive wall layer graphic and the lesion graphic in the fourth penetration map is consistent with the relative position of the corresponding target digestive wall layer and the lesion area;

[0036] The display is used to display at least one of the fourth penetration images to reflect the penetration of the lesion area through the multiple digestive wall layers.

[0037] According to a fourth aspect, an embodiment provides an ultrasonic imaging device, comprising:

[0038] Ultrasound probe;

[0039] A transmitting circuit, wherein the transmitting circuit excites the ultrasonic probe to transmit ultrasonic waves toward the digestive organs of the subject;

[0040] A receiving circuit, wherein the receiving circuit controls the ultrasonic probe to receive the ultrasonic echo returned by the digestive organ to obtain an ultrasonic echo signal;

[0041] Processor for:

[0042] Processing the ultrasonic echo signal to obtain image data of the digestive organ;

[0043] identifying the lesion area and multiple digestive wall layers of the digestive organ according to the image data;

[0044] Acquiring the relative position between the lesion area and the plurality of digestive wall layers, and determining the penetration of the lesion area through the plurality of digestive wall layers according to the relative position;

[0045] Distinguishing target digestive wall layers and non-target digestive wall layers among the plurality of digestive wall layers according to the penetration conditions, wherein the target digestive wall layer is a digestive wall layer penetrated by the lesion area, and the non-target digestive wall layer is a digestive wall layer not contacted by the lesion area;

[0046] generating at least one fifth penetration map, each of the fifth penetration maps comprising a lesion pattern for characterizing the lesion area and at least one digestive wall layer pattern for characterizing the digestive wall layer, wherein the relative position between each of the digestive wall layer patterns and the lesion pattern in the fifth penetration map is consistent with the relative position between the corresponding target digestive wall layer and the lesion area;

[0047] The display is used to display at least one of the fifth penetration images, and in the fifth penetration image, at least two of the first type of digestive wall layer graphics, the second type of digestive wall layer graphics, and the non-target digestive wall layer graphics are distinguished and displayed, wherein the first type of digestive wall layer graphics represents that the lesion area has completely penetrated the digestive wall layer, and the second type of digestive wall layer graphics represents that the lesion area has not completely penetrated the digestive wall layer.

[0048] According to a fifth aspect, an embodiment provides an ultrasound imaging method, comprising:

[0049] Sending ultrasonic waves to the digestive organs of the person being tested;

[0050] receiving the ultrasonic echo returned by the digestive organ to obtain an ultrasonic echo signal;

[0051] Processing the ultrasonic echo signal to obtain image data of the digestive organ;

[0052] Identifying the lesion area of ​​the digestive organ and M digestive wall layers according to the image data, where M is an integer greater than or equal to 2;

[0053] Obtaining the relative position between the lesion area and the M digestive wall layers;

[0054] Generate at least two first penetration maps, each of the first penetration maps includes a lesion pattern and N digestive wall layer patterns, N is an integer greater than or equal to 1 and less than M, the lesion pattern represents the lesion area, each digestive wall layer pattern represents one digestive wall layer, and M digestive wall layer patterns corresponding to M digestive wall layers are distributed in at least two first penetration maps, and the relative position of each digestive wall layer pattern and the lesion pattern in each of the first penetration maps is consistent with the relative position of the corresponding digestive wall layer and the lesion area;

[0055] At least two of the first penetration images are displayed simultaneously to reflect the penetration of the lesion area through the M digestive wall layers.

[0056] According to a sixth aspect, an embodiment provides an ultrasound imaging method, comprising:

[0057] Sending ultrasonic waves to the digestive organs of the person being tested;

[0058] receiving the ultrasonic echo returned by the digestive organ to obtain an ultrasonic echo signal;

[0059] Processing the ultrasonic echo signal to obtain image data of the digestive organ;

[0060] Identifying the lesion area of ​​the digestive organ and M digestive wall layers according to the image data, where M is an integer greater than or equal to 2;

[0061] Obtaining the relative position between the lesion area and the M digestive wall layers, and obtaining the penetration of the lesion area into the M digestive wall layers according to the relative position;

[0062] Generate a third penetration map, the third penetration map comprising a lesion pattern and M digestive wall layer patterns, the lesion pattern representing the lesion area, each digestive wall layer pattern representing one digestive wall layer, and the relative position of each digestive wall layer pattern and the lesion pattern in the third penetration map is consistent with the relative position of the corresponding digestive wall layer and the lesion area;

[0063] The third penetration map is displayed, and the digestive wall layer graphics corresponding to the digestive wall layers with different penetration conditions are distinguished and displayed in the third penetration map to reflect the penetration conditions of the lesion area on the M digestive wall layers.

[0064] According to a seventh aspect, an embodiment provides an ultrasound imaging method, comprising:

[0065] Sending ultrasonic waves to the digestive organs of the person being tested;

[0066] receiving the ultrasonic echo returned by the digestive organ to obtain an ultrasonic echo signal;

[0067] Processing the ultrasonic echo signal to obtain image data of the digestive organ;

[0068] identifying the lesion area and multiple digestive wall layers of the digestive organ according to the image data;

[0069] Obtaining the relative position between the lesion area and the plurality of digestive wall layers, and obtaining the penetration of the lesion area into each of the digestive wall layers according to the relative position;

[0070] Distinguishing target digestive wall layers and non-target digestive wall layers among the plurality of digestive wall layers according to the penetration conditions, wherein the target digestive wall layer is a digestive wall layer penetrated by the lesion area, and the non-target digestive wall layer is a digestive wall layer not contacted by the lesion area;

[0071] When there are P target digestive wall layers, at least one fourth penetration map is generated, wherein P is a positive integer; each of the fourth penetration maps includes a lesion graphic for characterizing the lesion area and at least one target digestive wall layer graphic for characterizing the target digestive wall layer, and the fourth penetration map does not include a non-target digestive wall layer graphic for characterizing a non-target digestive wall layer, and the P target digestive wall layer graphics corresponding to the P target digestive wall layers are distributed in at least one fourth penetration map, and the relative position of each target digestive wall layer graphic and the lesion graphic in the fourth penetration map is consistent with the relative position of the corresponding target digestive wall layer and the lesion area;

[0072] At least one of the fourth penetration images is displayed to reflect the penetration of the lesion area through the plurality of digestive wall layers.

[0073] According to an eighth aspect, an embodiment provides an ultrasound imaging method, comprising:

[0074] Sending ultrasonic waves to the digestive organs of the person being tested;

[0075] receiving the ultrasonic echo returned by the digestive organ to obtain an ultrasonic echo signal;

[0076] Processing the ultrasonic echo signal to obtain image data of the digestive organ;

[0077] identifying a lesion area and a plurality of digestive wall layers of a digestive organ according to the image data;

[0078] Acquiring the relative position between the lesion area and the plurality of digestive wall layers, and determining the penetration of the lesion area through the plurality of digestive wall layers according to the relative position;

[0079] Distinguishing target digestive wall layers and non-target digestive wall layers among the plurality of digestive wall layers according to the penetration conditions, wherein the target digestive wall layer is a digestive wall layer penetrated by the lesion area, and the non-target digestive wall layer is a digestive wall layer not contacted by the lesion area;

[0080] generating at least one fifth penetration map, each of the fifth penetration maps comprising a lesion pattern for characterizing the lesion area and at least one digestive wall layer pattern for characterizing the digestive wall layer, wherein the relative position between each of the digestive wall layer patterns and the lesion pattern in the fifth penetration map is consistent with the relative position between the corresponding target digestive wall layer and the lesion area;

[0081] At least one of the fifth penetration images is displayed, and at least two of the first type of digestive wall layer images, the second type of digestive wall layer images, and the non-target digestive wall layer images are distinguished and displayed in the fifth penetration image, wherein the first type of digestive wall layer images represents that the lesion area has completely penetrated the digestive wall layer, and the second type of digestive wall layer images represents that the lesion area has not completely penetrated the digestive wall layer.

[0082] According to the ninth aspect, an embodiment provides a computer-readable storage medium, on which a program is stored, and the program can be executed by a processor to implement the above method.

[0083] According to the ultrasonic imaging device and ultrasonic imaging method provided in some of the above embodiments: ① By simultaneously displaying at least two first penetration images, the user can easily see the relative position between the lesion image and the digestive wall layer image of the first penetration image from each first penetration image, and then combine their own knowledge to clearly determine which digestive wall layer the lesion area has penetrated. ② When both the first penetration image and the second penetration image are displayed, the user can refer to the two penetration images at the same time to better judge the penetration of the lesion area into the digestive wall layer. ③ The penetration of the lesion area into the digestive wall layer can be further analyzed, and based on the penetration, it is possible to: (1) change the display mode of the first penetration image to distinguish the digestive wall layers with different penetration conditions; (2) generate a third penetration image, so that the digestive wall layers with different penetration conditions can be intuitively seen in a third penetration image; (3) generate a fourth penetration image, the fourth penetration image only includes the target digestive wall layer image, and the fourth penetration image can quickly locate which digestive wall layer the lesion area has penetrated; (5) generate a fifth penetration image to flexibly present the penetration of the lesion area into the lesion area. BRIEF DESCRIPTION OF THE DRAWINGS

[0084] Figure 1 is a schematic structural diagram of an ultrasonic imaging device in an embodiment;

[0085] Figure 2 is a schematic diagram of an ultrasound image of a stomach according to an embodiment;

[0086] Figure 3 is a schematic diagram of an ultrasound image of a stomach according to another embodiment;

[0087] Figure 4 is a schematic diagram of a lesion area in an embodiment;

[0088] Figure 5 is a schematic diagram of the stomach wall layer in one embodiment;

[0089] Figure 6a is a schematic diagram of a first penetration image and a second penetration image being displayed simultaneously in an embodiment;

[0090] Figure 6b is a schematic diagram of a first penetration diagram in another embodiment;

[0091] Figure 6c is a schematic diagram of a first penetration diagram in yet another embodiment;

[0092] Figure 7 is a schematic diagram of a second penetration diagram in one embodiment;

[0093] Figure 8 is a schematic diagram of a third penetration diagram in an embodiment;

[0094] Figure 9a is a schematic diagram of a fourth penetration diagram in an embodiment;

[0095] Figure 9b is a schematic diagram of a fourth penetration diagram in another embodiment;

[0096] Fig.9c is a schematic diagram of a fourth penetration diagram in yet another embodiment;

[0097] Figure 9d is a schematic diagram of a fourth penetration diagram in yet another embodiment;

[0098] Fig.10a is a schematic diagram of a fifth penetration diagram in an embodiment;

[0099] Fig.10b is a schematic diagram of a fifth penetration diagram in yet another embodiment;

[0100] Fig.11 is a flow chart of an ultrasound imaging method in an embodiment;

[0101] Fig.12 FIG. 4 is a flow chart of an ultrasound imaging method in another embodiment. DETAILED DESCRIPTION

[0102] The present invention is further described in detail below by specific embodiments in conjunction with the accompanying drawings. Wherein similar elements in different embodiments adopt associated similar element numbers. In the following embodiments, many detailed descriptions are for making the present application better understood. However, those skilled in the art can easily recognize that some features can be omitted in different situations, or can be replaced by other elements, materials, methods. In some cases, some operations related to the present application are not shown or described in the specification, this is to avoid the core part of the present application being overwhelmed by too much description, and for those skilled in the art, it is not necessary to describe these related operations in detail, and they can fully understand the related operations according to the description in the specification and the general technical knowledge in the art.

[0103] In addition, the features, operations or characteristics described in the specification can be combined in any appropriate manner to form various implementations. At the same time, the steps or actions in the method description can also be interchanged or adjusted in a manner that is obvious to those skilled in the art. Therefore, the various sequences in the specification and the drawings are only for the purpose of clearly describing a certain embodiment and are not meant to be a required sequence, unless otherwise specified that a certain sequence must be followed.

[0104] The serial numbers of the components in this document, such as "first", "second", etc., are only used to distinguish the objects described and do not have any order or technical meaning. The "connection" and "coupling" mentioned in this application, unless otherwise specified, include direct and indirect connections (couplings).

[0105] The digestive organs referred to in this application include but are not limited to the stomach or intestines. The digestive organs usually include multiple digestive wall layers. The following description will take the digestive organ as the stomach as an example.

[0106] The stomach referred to in this application is also called the stomach. The stomach includes two structures, the stomach cavity and the stomach wall. From near to far from the stomach cavity, the human stomach wall includes five stomach wall layers: the mucosa layer, the submucosa layer, the muscularis mucosa, the muscularis layer and the serosa layer.

[0107] The upper and inner directions referred to in this application refer to the directions close to the gastric cavity. Conversely, the lower and outer directions refer to the directions away from the gastric cavity. Therefore, the inner boundary of the gastric wall layer refers to the boundary facing the gastric cavity, and the outer boundary of the gastric wall layer refers to the boundary away from the gastric cavity.

[0108] The most important concept of this application is to generate a penetration map reflecting the penetration of the lesion area into the digestive wall layer by obtaining the relative position between the digestive wall layer and the lesion area. Furthermore, the penetration situation can be automatically analyzed and the digestive wall layers with different penetration situations can be intuitively reflected through different displays, which greatly reduces the workload and difficulty of the user.

[0109] Please refer to Figure 1 , Figure 1 An ultrasonic imaging device 100 is provided, comprising an ultrasonic probe 110, a transmitting circuit 112, a receiving circuit 114, a processor 116, and a display 118. Further, the ultrasonic imaging device 100 may also include a transmitting / receiving selection switch 120 and a beamforming module 122, and the transmitting circuit 112 and the receiving circuit 114 may be connected to the ultrasonic probe 110 through the transmitting / receiving selection switch 120.

[0110] The ultrasonic probe 110 includes a plurality of transducer array elements, which can be arranged in a row to form a linear array, or arranged in a two-dimensional matrix to form a surface array, or a plurality of transducer array elements can also form a convex array. The transducer array element is used to transmit ultrasonic waves according to the excitation electrical signal, or to convert the received ultrasonic waves into electrical signals, so each transducer array element can be used to realize the mutual conversion between the electrical pulse signal and the ultrasonic wave, so as to realize the transmission of ultrasonic waves to the target tissue, and can also be used to receive the ultrasonic wave echo reflected by the tissue. When performing ultrasonic detection, which transducer array elements are used to transmit ultrasonic waves and which transducer array elements are used to receive ultrasonic waves can be controlled by the transmission sequence and the reception sequence, or the transducer array elements can be controlled to transmit ultrasonic waves or receive ultrasonic wave echoes in time slots. The transducer array elements participating in ultrasonic wave transmission can be excited by electrical signals at the same time, so as to transmit ultrasonic waves at the same time; or, the transducer array elements participating in ultrasonic wave beam transmission can also be excited by several electrical signals with a certain time interval, so as to continuously transmit ultrasonic waves with a certain time interval.

[0111] During the ultrasonic imaging process, the transmitting circuit 112 sends the delayed focused transmitting pulse to the ultrasonic probe 110 through the transmitting / receiving selection switch 120. The ultrasonic probe 110 is stimulated by the transmitting pulse to transmit an ultrasonic beam to the target tissue, and after a certain delay, receives the ultrasonic echo with tissue information reflected from the target tissue, and reconverts the ultrasonic echo into an electrical signal. The receiving circuit 114 receives the electrical signal converted and generated by the ultrasonic probe 110, obtains the ultrasonic echo signal, and sends these ultrasonic echo signals to the beamforming module 122. The beamforming module 122 performs focusing delay, weighting and channel summing on the ultrasonic echo data, and then sends them to the processor 116. The processor 116 performs signal detection, signal enhancement, data conversion, logarithmic compression and other processing on the ultrasonic echo signal to form an ultrasonic image. The ultrasonic image obtained by the processor 116 can be displayed on the display 118 or stored in the memory 124.

[0112] Optionally, the processor 116 may be implemented as software, hardware, firmware or any combination thereof, and may use a single or multiple dedicated integrated circuits, a single or multiple general purpose integrated circuits, a single or multiple microprocessors 116, a single or multiple programmable logic devices, or any combination of the aforementioned circuits and / or devices, or other suitable circuits or devices. Furthermore, the processor 116 may control other components in the ultrasonic imaging device 100 to perform the corresponding steps of the methods in various embodiments of the present specification.

[0113] The display 118 is connected to the processor 116, and the display 118 may be a touch screen, a liquid crystal display, etc.; or, the display 118 may be an independent display such as a liquid crystal display, a television, etc., which is independent of the ultrasonic imaging device 100; or, the display 118 may be a display screen of an electronic device such as a smart phone or a tablet computer, etc. The number of the displays 118 may be one or more. For example, the display 118 may include a main screen and a touch screen, wherein the main screen is mainly used to display ultrasonic images, and the touch screen is mainly used for human-computer interaction.

[0114] The display 118 can display the ultrasound image obtained by the processor 116. In addition, while displaying the ultrasound image, the display 118 can also provide the user with a graphical interface for human-computer interaction. One or more controlled objects are set on the graphical interface, and the user is provided with a human-computer interaction device to input operation instructions to control these controlled objects, thereby performing corresponding control operations. For example, an icon is displayed on the graphical interface, and the icon can be operated by the human-computer interaction device to perform a specific function, such as drawing a region of interest box on the ultrasound image.

[0115] Optionally, the ultrasonic imaging device 100 may further include other human-computer interaction devices in addition to the display 118, which are connected to the processor 116. For example, the processor 116 may be connected to the human-computer interaction device via an external input / output port, and the external input / output port may be a wireless communication module, or a wired communication module, or a combination of the two. The external input / output port may also be implemented based on USB, bus protocols such as CAN, and / or wired network protocols.

[0116] The human-computer interaction device may include an input device for detecting user input information, which may be, for example, a control instruction for ultrasonic transmission / reception timing, an operation input instruction for drawing points, lines or frames on an ultrasonic image, or other instruction types. The input device may include a keyboard, a mouse, a scroll wheel, a trackball, a mobile input device (such as a mobile device with a touch screen, a mobile phone, etc.), a multi-function knob, etc., or a combination of multiple thereof. The human-computer interaction device may also include an output device such as a printer.

[0117] The ultrasound imaging device 100 may further include a memory 124 for storing instructions executed by the processor 116, storing received ultrasound echoes, storing ultrasound images, etc. The memory may be a flash memory card, a solid-state memory, a hard disk, etc. It may be a volatile memory and / or a non-volatile memory, a removable memory and / or a non-removable memory, etc.

[0118] It should be understood that Figure 1The components included in the ultrasonic imaging device 100 are only exemplary, and the ultrasonic imaging device 100 may include more or fewer components, which is not limited in the present application.

[0119] In the present application, after the ultrasonic probe 110 transmits ultrasonic waves to the stomach of the subject, the processor 116 processes the ultrasonic echo signal corresponding to the ultrasonic wave to obtain the image data of the stomach, and then generates the ultrasonic image of the stomach according to the image data of the stomach. The ultrasonic image may be a two-dimensional ultrasonic image or a three-dimensional ultrasonic image, and the following description takes the ultrasonic image as a two-dimensional ultrasonic image as an example.

[0120] Based on different imaging methods or types of ultrasound probes 110 , the acquisition of the above-mentioned stomach image data and the corresponding ultrasound images are also different.

[0121] In some embodiments, the imaging device may also be an ultrasonic endoscope, for example, the imaging device further includes an insertion portion, the insertion portion is used to be inserted into the stomach, and the ultrasonic probe 110 is located at the end of the insertion portion, and the ultrasonic probe 110 transmits ultrasonic waves from the stomach to the stomach. This method performs an invasive ultrasonic examination through the patient's mouth, and can obtain Figure 2 Shown is an ultrasound image showing a portion of the stomach wall.

[0122] In some embodiments, for gastric imaging ultrasound (filling ultrasound), the patient needs to swallow a contrast agent, and the doctor uses an external ultrasound probe 110 to scan and obtain an ultrasound image of the patient's stomach. The cross-section of the gastric cavity can be observed through the ultrasound image. The ultrasound image obtained below is Figure 3 It is understood that when the digestive organ is the intestine, the ultrasound image can be generated based on the intestinal filling examination and intestinal endoscopy data.

[0123] The processor 116 can identify the stomach based on the acquired ultrasound image. Figure 4 The lesion area shown and Figure 5 The five stomach wall layers are shown.

[0124] Methods for identifying lesion areas include but are not limited to the following: ① Mark the approximate location of the lesion area based on a detection algorithm or model, and segment or extract the boundary of the lesion area based on a segmentation algorithm. ② Implement integrated lesion area detection and segmentation based on a segmentation algorithm or model, and the segmentation algorithm can be semi-automatic or fully automatic. ③ Doctors can manually mark the boundary of the lesion area to extract the lesion boundary and then determine the lesion area.

[0125] Specifically, the above detection algorithm is not limited to extraction based on deep learning, machine learning, and traditional image processing algorithms: ① Deep learning ROI detection: It is necessary to first train the deep learning network based on the collected images and the ROI annotation results of the lesions of senior doctors (the bounding box of the ROI area, i.e., the coordinate information). The deep learning detection and segmentation network can use but is not limited to FasterRCNN, SSD, YOLO, etc. The network training phase calculates the error between the detection result and the annotation result of the lesion area during the iteration process, and continuously updates the weights in the network with the purpose of minimizing the error. The process is repeated continuously so that the detection result gradually approaches the true value of the lesion area, and a trained ROI detection model is obtained. This model can realize the automatic detection and extraction of lesion areas for new input data. ② ROI detection using traditional image processing combined with machine learning: This can usually be divided into several steps: (1) Find the region to be selected based on image processing methods, such as using the Select Search algorithm; (2) Transform the region to be selected to a fixed size, and use image processing methods to extract image features such as gradient and texture, such as the Sift operator, HoG operator, and GLCM gray-level co-occurrence matrix; (3) Train the feature vector of the region to be selected using a traditional machine learning algorithm to obtain a classification model for the box to be selected; (4) Obtain the bounding box of the target using a regression method.

[0126] Specifically, the above segmentation method is not limited to: ① Extract the boundary of the detected ROI area or the whole image of the ultrasound image based on the deep learning segmentation network. The main segmentation networks include Unet, FCN and the improved network based on them. When performing deep learning segmentation, input the image and the annotated area corresponding to the image. The annotated area can be a binary image of the lesion, or the lesion location information can be written into an annotation file such as xml or json. Calculate the error between the segmentation result output by the model and the annotated result, and continuously iterate to minimize the error until the segmentation result approaches the true value. ② Use a multi-task deep learning network for simultaneous detection and segmentation to extract the boundary. Commonly used networks include mask-Rcnn, PolarMask, SOLO, etc. The first step of this type of network is usually to locate the approximate position of the ROI, and then finely segment the target area. ③ Use traditional image processing algorithms, such as region-based segmentation algorithms mainly including region growing method, watershed algorithm, Otsu threshold method, etc.; gradient-based segmentation algorithms such as sobel, canny operator, etc. ④ A lesion segmentation implementation method based on machine learning is adopted. The machine learning segmentation model is trained based on the collected ultrasound images and annotation results. The grayscale value or texture value of the image pixels is classified into two categories using machine learning models such as SVM, Kmeans, and Cmeans. It is determined whether each pixel or the texture feature vector representing the current pixel belongs to the nodule area, thereby realizing the extraction of the lesion area.

[0127] Methods for identifying gastric wall layers include but are not limited to: ① direct segmentation algorithm: based on a pre-trained segmentation model, multiple targets in the stomach (including the gastric cavity and each layer of the gastric wall) are directly segmented on the ultrasound image; ② progressive segmentation algorithm: based on clinical prior knowledge, the gastric cavity is first segmented, and then the multi-layer structure of the gastric wall is retrieved outside the gastric cavity; ③ manual labeling: doctors can manually label the gastric cavity and each layer of the gastric wall to achieve boundary extraction and tissue division.

[0128] The above direct segmentation methods include but are not limited to: ① Extracting the boundaries of the detected stomach main area or the whole image area based on the deep learning segmentation network. The main segmentation networks include Unet, FCN, and improved networks based on them. When performing deep learning segmentation, it is necessary to input "image" and "annotated area corresponding to the image". The annotated area can be a multi-value mask of the multi-layer structure of the stomach (such as filling the stomach cavity with pixel 1, the stomach wall layer with pixels 2 to 6, and the irrelevant background with pixel 0). 1. Calculate the error between the segmentation result output by the model and the annotation result, and continuously iterate to minimize the error until the segmentation result approaches the true value; 2. Use a multi-task deep learning network for simultaneous detection and segmentation to extract boundaries. Commonly used networks include mask-Rcnn, PolarMask, SOLO, etc. The first step of this type of network is usually to locate the approximate position of the main body of the stomach (gastric cavity + gastric wall structure), and then perform multi-category fine segmentation of the target area; 3. Use traditional image processing algorithms, such as region-based segmentation algorithms mainly including region growing method, watershed algorithm, Otsu threshold method, etc.; gradient-based segmentation algorithms such as sobel and canny operators; 4. Use a machine learning-based tissue structure segmentation implementation method, train a machine learning segmentation model based on the collected gastric ultrasound images and annotation results, and use machine learning models such as SVM, Kmeans, Cmeans, etc. to perform multi-category classification of the grayscale value or texture value of image pixels, such as dividing each pixel into gastric cavity, mucosa, serosa or background, so as to achieve semantic segmentation of various gastric tissue structures.

[0129] The above-mentioned progressive segmentation method (based on clinical prior knowledge to locate the gastric cavity first): ① The doctor first obtains the gastric cavity area segmentation result based on the segmentation algorithm, and then diffuses outward based on clinical prior knowledge to search the hierarchical structure of the gastric wall. The boundary search algorithm includes but is not limited to: Sift algorithm, active contour model algorithm, HoG and other gradient operators, GLCM and other texture analysis methods. Finally, the hierarchical division of the gastric data is completed; ② First, the gastric cavity area segmentation result is obtained based on the segmentation algorithm, and the external enclosing area of ​​the 3D gastric cavity is intercepted (the thickness of the interception is set based on clinical prior knowledge). Within the enclosing area, the segmentation algorithm is used again to achieve fine segmentation of the five-layer structure of the gastric wall. For the identification of the five gastric wall layers, the acquired ultrasound image of the entire stomach can be used as the input of the algorithm or model, or after the lesion area is identified, the part of the ultrasound image of the stomach except the lesion area can be used as the input of the algorithm or model.

[0130] After identifying the lesion area and the five stomach wall layers of the stomach, the processor 116 further obtains the relative positions between the lesion area and the five stomach wall layers. The relative positions between the lesion area and the five stomach wall layers are obtained, that is, the relative position relationship between the lesion area and the mucosal layer, the submucosal layer, the mucosal muscular layer, the muscular layer, and the serosa layer is determined.

[0131] In some embodiments, the relative positions between the lesion area and the five stomach wall layers are qualitatively obtained. For example, if the identified lesion area is above the mucosal layer, the relative positions between the lesion area and the five stomach wall layers are: the lesion area is above the five stomach wall layers.

[0132] In some embodiments, the relative positions between the lesion area and the five stomach wall layers are quantitatively obtained. For example, after the lesion area is identified to be above the mucosal layer, the distance a millimeters between the lower edge of the lesion area and the mucosal layer is obtained based on the ultrasound image of the stomach. Then, the relative positions between the lesion area and the five stomach wall layers are: the lesion area is above the five stomach wall layers, and the lower edge of the lesion area is a millimeters away from the mucosal layer.

[0133] At this point, the processor 116 obtains the relative position between the lesion area and the five stomach wall layers. Based on the relative position between the lesion area and the five stomach wall layers, the processor 116 can generate at least two first penetration Fig.10a and one Second penetration Fig.10b The display 118 can display only one of the two types of penetration diagrams, or can display the first penetration diagram at the same time. Fig.10a and the second penetration Fig.10bEach penetration map includes a lesion graphic 20 and a stomach wall layer graphic. The lesion graphic 20 represents the lesion area, and each stomach wall layer graphic represents a stomach wall layer. In the present application, the stomach wall layer graphics corresponding to the mucosal layer, submucosal layer, mucosal muscular layer, muscular layer and serosa layer are defined as mucosal layer graphics 30a, submucosal layer graphics 30b, mucosal muscular layer graphics 30c, muscular layer graphics 30d and serosa layer graphics 30e, respectively.

[0134] In this embodiment, Figure 6a As shown, the processor 116 generates a total of five first penetration Fig.10a Every first penetration Fig.10a The lesion pattern 20 and a stomach wall pattern are included, and each first penetration Fig.10a In the embodiment of the present invention, the relative position of each stomach wall layer graph and the lesion graph 20 is consistent with the relative position of the corresponding stomach wall layer and the lesion area. The relative position in the present application is consistent with at least two kinds of meanings, and one is qualitative consistency, for example, the lower edge of the lesion area is between the mucosa layer and the submucosal layer, and the lower edge of the lesion graph 20 is between the mucosa layer graph 30a and the submucosal layer graph 30b. The other is quantitative consistency, for example, the lower edge of the lesion area is between the mucosa layer and the submucosal layer, and the distance between the lower edge of the lesion area and the mucosa layer is a millimeter, and the distance between the lower edge of the lesion area and the submucosal layer is b millimeter, and the lower edge of the lesion graph 20 is between the mucosa layer graph 30a and the submucosal layer graph 30b, and the distance between the lower edge of the lesion graph 20 and the mucosa layer graph 30a is a millimeter, and the distance between the lower edge of the lesion graph 20 and the submucosal layer graph 30b is b millimeter.

[0135] In other embodiments, the processor 116 may also generate other numbers of first penetration Fig.10a , or, still generate five first penetrations Fig.10a , but each first penetration Fig.10a Specifically, the first penetration Fig.10a When the number of is greater than two, the five stomach wall layer graphics corresponding to the five stomach wall layers are distributed in at least two first penetration Fig.10a For example, the processor 116 generates two first penetration Fig.10a , one of the first penetration Fig.10a The first penetration layer includes a serous layer pattern 30e, a muscle layer pattern 30d, a mucosal muscle layer pattern 30c and a submucosal layer pattern 30b. Fig.10a The mucosal layer pattern 30a is included. For another example, the processor 116 generates three first penetration Fig.10a , one of the first penetration Fig.10a The first penetration layer includes a serous layer pattern 30e, a muscle layer pattern 30d and a mucosal muscle layer pattern 30c. Fig.10aThe first penetration pattern includes the mucosal muscular layer pattern 30c and the submucosal layer pattern 30b. Fig.10a The mucosal layer pattern 30a is included.

[0136] In some embodiments, the first penetration Fig.10a Generate by marking the ultrasound image of the stomach: after generating the ultrasound image of the stomach, mark the lesion area in the ultrasound image, and mark at least one stomach wall layer in the ultrasound image, and finally use the marked ultrasound image as the first penetration Fig.10a For example, if a first penetration Fig.10a The relative position between the mucosal layer and the lesion area should be presented. Figure 6a As shown in FIG. 1 , the lesion area is marked in the ultrasound image of the stomach, and then the mucosal layer is marked in the ultrasound image of the stomach, thereby forming a first penetration image including a lesion image 20 and a mucosal layer image 30a. Fig.10a Generate the first penetration by marking Fig.10a , so that the shape of the lesion graphic 20 is consistent with the shape of the lesion area, and the shape of the stomach wall layer graphic is also consistent with the shape of the corresponding stomach wall layer, and the relative position between the lesion area and the stomach wall layer can be presented more accurately.

[0137] In some embodiments, the first penetration Fig.10a The method is generated by calling a pre-stored graphic: calling a pre-stored lesion graphic 20, and calling at least one corresponding stomach wall layer graphic from a plurality of pre-stored stomach wall layer graphics; and finally generating a first penetration image according to the called lesion graphic 20, the at least one stomach wall layer graphic, and the relative position between the lesion area and the stomach wall layer. Fig.10a , wherein the pre-stored mucosal layer pattern 30a, submucosal layer pattern 30b, mucosal muscular layer pattern 30c, muscular layer pattern 30d and serous layer pattern 30e may be the same pattern or different patterns. Fig.10a The relative position between the muscle layer and the lesion area should be presented, and the lesion area has been determined to be above the muscle layer. Figure 6b Five first penetrations are generated as shown Fig.10a .

[0138] At least two first penetrations are displayed by the display 118 Fig.10a , users can penetrate from each first Fig.10a The lesion pattern 20 and the first penetration Fig.10a The relative positions of the gastric wall layer graphics, combined with one's own knowledge, can determine which gastric wall layer the lesion area has penetrated.

[0139] In order to further reduce the threshold for reading images, in some embodiments, the display 118 also presents the first penetration image in a visual manner. Fig.10a The corresponding relationship between each stomach wall layer graphic and the corresponding stomach wall layer is shown in the figure, so that users can more easily see which stomach wall layer the lesion area has penetrated. Figure 6a First penetration in five Fig.10a The words "layer i" are displayed in the figure, where layer 1 indicates the first penetration Fig.10a The stomach wall layer graphic in the figure is the mucosal layer graphic 30a, and the second layer represents the first penetration Fig.10a The stomach wall layer graphic in the figure is the submucosal layer graphic 30b, and the third layer represents the first penetration Fig.10a The stomach wall layer graphic in the figure is the mucosal muscular layer graphic 30c, and the fourth layer represents the first penetration Fig.10a The stomach wall layer graphic in the figure is the muscle layer graphic 30d, and the 5th layer represents the first penetration Fig.10a The stomach wall layer pattern in the figure is a serous layer pattern 30e. In other embodiments, the five first penetration Fig.10a The stomach wall layer graphics may also be arranged and displayed according to the positional relationship between the corresponding stomach wall layers, for example, the five first penetration Fig.10a Arranged from top to bottom, by default, they include a mucosal layer graphic 30a, a submucosal layer graphic 30b, a mucosal muscular layer graphic 30c, a muscular layer graphic 30d, and a serosa layer graphic 30e.

[0140] In this embodiment, Figure 7 As shown, the processor 116 generates a second penetration Fig.10b , the second penetration Fig.10b The second penetration includes a lesion pattern 20 and five stomach wall layer patterns. Fig.10b The second penetration layer includes a mucosal layer pattern 30a, a submucosal layer pattern 30b, a mucosal muscular layer pattern 30c, a muscular layer pattern 30d and a serous layer pattern 30e. Fig.10b The relative position of each stomach wall layer pattern and the lesion pattern 20 in the figure is consistent with the relative position of the corresponding stomach wall layer and the lesion area. Figure 6a As shown, the second penetration Fig.10b Generate by marking ultrasound images of the stomach, or Figure 7 As shown, the second penetration Fig.10b Generated by calling a pre-stored graph.

[0141] In some embodiments, the display 118 also presents the second penetration in a visual manner. Fig.10b The corresponding relationship between each stomach wall layer graphic and the corresponding stomach wall layer in the image is shown in Figure 1. This allows users to more easily see which stomach wall layer the lesion area has penetrated. Figure 7 , mark 1 represents a mucosal layer graphic 30a, mark 2 represents a submucosal layer graphic 30b, mark 3 represents a mucosal muscular layer graphic 30c, mark 4 represents a muscular layer graphic 30d, and mark 5 represents a serosa layer graphic 30e.

[0142] A second penetration is displayed by display 118 Fig.10b When the display 118 shows the first penetration image, the user can know the positional relationship between the lesion area and all the stomach wall layers in one penetration image. Fig.10a The second penetration is shown Fig.10b When performing an ultrasound scan, the user can refer to these two penetration images at the same time to better judge the penetration of the lesion area into the gastric wall layer.

[0143] In some embodiments, in addition to obtaining the relative position between the lesion area and the five stomach wall layers, the processor 116 also obtains the penetration of the lesion area through the five stomach wall layers according to the relative position between the lesion area and the five stomach wall layers, and can perform at least one of the following steps based on the penetration: ① Change the first penetration Fig.10a display mode; ② generate a third penetration image 10c, control the display 118 to display the third penetration image 10c; ③ generate at least one fourth penetration image 10d, control the display 118 to display at least one fourth penetration image 10d; ④ generate at least one fifth penetration image 10e, control the display 118 to display at least one fifth penetration image 10e.

[0144] In some embodiments, the penetration of the lesion area through the stomach wall layer may be obtained without obtaining the relative position between the lesion area and the stomach wall layer, and the penetration of the lesion area through the stomach wall layer may be obtained directly through machine learning, position regression, etc.

[0145] It is advisable to divide the stomach wall layer into a target stomach wall layer and a non-target stomach wall layer. The target stomach wall layer is the stomach wall layer penetrated by the lesion area, and the non-target stomach wall layer is the stomach wall layer not contacted by the lesion area. It is understandable that the five stomach wall layers may all be target stomach wall layers, or the five stomach wall layers may all be non-target stomach wall layers. In the present application, the stomach wall layer graphic corresponding to the target stomach wall layer is defined as the target stomach wall layer graphic, and the stomach wall layer graphic corresponding to the non-target stomach wall layer is defined as the non-target stomach wall layer graphic.

[0146] In some embodiments, the target stomach wall layer can be further divided into a first type of stomach wall layer and a second type of stomach wall layer, wherein the first type of stomach wall layer is the stomach wall layer that has been completely penetrated by the lesion area, and the second type of stomach wall layer is the stomach wall layer that has not been completely penetrated by the lesion area. Complete penetration means that the lesion area intersects with both the upper and lower boundaries of the stomach wall layer, and partial penetration means that the lesion area only intersects with a certain boundary line of the stomach wall layer. If neither intersects, there is no penetration. For example, in Figure 6aIn the figure, the mucosa layer and the submucosa layer are the first type of gastric wall layer, the muscularis mucosa layer is the second type of gastric wall layer, and the muscularis layer and the serosa layer are non-target gastric wall layers. Based on this, the target gastric wall layer graph can be further divided into the first type of gastric wall layer graph and the second type of gastric wall layer graph. For the purpose of easy understanding, the non-target gastric wall layer graph is also called the third type of gastric wall layer graph.

[0147] In some embodiments, it is determined whether there is a boundary region between the lesion region and the stomach wall layer according to the relative position of the lesion region and the stomach wall layer. If there is no boundary region, the stomach wall layer is a non-target stomach wall layer. If there is a boundary region, and the boundary region connects the inner and outer boundaries of the stomach wall layer, the stomach wall layer is a first type of stomach wall layer. If there is a boundary region, but the boundary region does not connect the inner and outer boundaries of the stomach wall layer, the stomach wall layer is a second type of stomach wall layer.

[0148] In some embodiments, the intersection of the lesion region and the inner and outer boundaries of the stomach wall layer is obtained according to the relative positions of the lesion region and the stomach wall layer. If the lesion region does not intersect with the inner and outer boundaries of the stomach wall layer, the stomach wall layer is a non-target stomach wall layer, if the lesion region intersects with both the inner and outer boundaries of the stomach wall layer, the stomach wall layer is a first type of stomach wall layer, and if the lesion region only intersects with the inner boundary or the outer boundary, the stomach wall layer is a second type of stomach wall layer.

[0149] Change the first penetration Fig.10a The display method includes but is not limited to: ① Differentiate and display at least two of the first type of stomach wall layer graphics, the second type of stomach wall layer graphics, and the third type of stomach wall layer graphics. The display method includes but is not limited to differentiating and displaying the first type of stomach wall layer graphics, the second type of stomach wall layer graphics, and the third type of stomach wall layer graphics in different colors and / or brightness. For example, Figure 6b In the figure, the mucosal layer pattern 30a and the submucosal layer pattern 30b are the first type of stomach wall layer patterns, the mucosal muscular layer pattern 30c is the second type of stomach wall layer pattern, the muscular layer pattern 30d and the serous layer pattern 30e are the third type of stomach wall layer patterns. Figure 6b The colors in are different. Figure 6c As shown, the first type of first penetration is distinguished by different background colors Fig.10a , the second type of first penetration Fig.10a and the third type of first penetration Fig.10a At least two of which the first type first penetrates Fig.10a The stomach wall graphics in the figure are all the first type of stomach wall graphics, the second type of first penetration Fig.10a The stomach wall graphics in the figure are all the second type of stomach wall graphics, the third type of first penetration Fig.10a The stomach wall layer graphics in the figure are all the third type of stomach wall layer graphics. It can be understood that the above two methods can also be combined, that is, different types of stomach wall layer graphics are displayed separately, and different types of first penetration Fig.10a The background color is also different.

[0150] By changing the first penetration according to the penetration situation Fig.10a The display mode further lowers the threshold for users to read pictures. Fig.10a The display method can be used to determine the penetration of the lesion area into the gastric wall layer.

[0151] The third penetration diagram 10c is in the second penetration Fig.10b Based on the change of the second penetration Fig.10b Specifically, when generating the second penetration Fig.10b After that, you can distinguish the second penetration Fig.10b For example, the stomach wall layer graphics corresponding to the stomach wall layers with different penetration conditions in the stomach wall layer graphics may be distinguished and displayed as at least two of the first type of stomach wall layer graphics, the second type of stomach wall layer graphics and the third type of stomach wall layer graphics, for example, Figure 8 In the figure, the mucosal layer pattern 30a and the submucosal layer pattern 30b are the first type of stomach wall layer patterns, the mucosal muscular layer pattern 30c is the second type of stomach wall layer pattern, the muscular layer pattern 30d and the serous layer pattern 30e are the third type of stomach wall layer patterns. Figure 8 The colors in are different.

[0152] Each fourth penetration image 10d includes a lesion image 20 and at least one target stomach wall layer image, and the fourth penetration image 10d does not include a non-target stomach wall layer image, that is, the fourth penetration image 10d is only used to present the stomach wall layer penetrated by the lesion area. Fig.10a Similarly, the relative position of each target stomach wall layer graphic and the lesion graphic 20 in the fourth penetration image 10d is consistent with the relative position of the corresponding target stomach wall layer and the lesion area. In some embodiments, the fourth penetration image 10d is generated by marking the ultrasound image of the stomach, and in other embodiments, the fourth penetration image 10d is generated by calling a pre-stored graphic.

[0153] The following is an example of a scenario where the lesion area penetrates from the inside to the muscularis mucosa.

[0154] In some embodiments, Figure 9aAs shown, in this scenario, the processor 116 generates three fourth penetration images 10d, and controls the display 118 to display the three fourth penetration images 10d simultaneously. The three fourth penetration images 10d respectively include a mucosal layer image 30a, a submucosal layer image 30b, and a mucosal muscular layer image 30c, that is, each fourth penetration image 10d includes a target stomach wall layer image. In other embodiments, the processor 116 can also generate other numbers of fourth penetration images 10d. Specifically, when the lesion area penetrates at least two stomach wall layers, more than two fourth penetration images 10d can be generated, and the stomach wall layer images corresponding to the stomach wall layers penetrated by the lesion area are distributed in more than two fourth penetration images 10d. For example, in this scenario, the processor 116 can generate two fourth penetration images 10d, one of which includes a mucosal layer image 30a and a submucosal layer image 30b, and the other fourth penetration image 10d includes a submucosal layer image 30b and a mucosal muscular layer image 30c.

[0155] In some embodiments, three fourth penetration images 10d may be displayed separately, for example, Figure 9b As shown, the first type fourth penetration image 10d and the second type fourth penetration image 10d can be displayed distinguishably by different background colors, wherein the target stomach wall layer graphic in the first type fourth penetration image 10d is the first type stomach wall layer graphic, and the target stomach wall layer graphic in the second type fourth penetration image 10d is the second type stomach wall layer graphic.

[0156] In some embodiments, Fig.9c As shown, in this scenario, the processor 116 generates only one fourth penetration image 10d and controls the display 118 to display the fourth penetration image 10d. In other words, only one fourth penetration image 10d is used to reflect which stomach wall layer the lesion area penetrates.

[0157] In some embodiments, in the fourth penetration image 10d, the first type of stomach wall layer graphics and the second type of stomach wall layer graphics are distinguished and displayed, for example, Fig.9c and 9d As shown, in the fourth penetration image 10d, the submucosal layer pattern 30b and the muscularis mucosa pattern 30c are displayed in different colors.

[0158] With the first penetration Fig.10a Similarly, the fourth penetration image 10d may also present the corresponding relationship between each target stomach wall layer graphic and the corresponding target stomach wall layer in the fourth penetration image 10d in a visual manner. Fig.9c As shown, the corresponding target stomach wall layer graphics are marked according to the target stomach wall layer, or, when at least two fourth penetration images 10d are generated, at least two fourth penetration images 10d are arranged and displayed according to the positional relationship between the target stomach wall layers presented in the fourth penetration images 10d.

[0159] When the lesion area penetrates at least one stomach wall layer, by generating and displaying at least one fourth penetration image 10d, the user can quickly and intuitively determine which stomach wall layer the lesion area has penetrated, further reducing the user's workload.

[0160] The difference between the fifth penetration image 10e and the third penetration image 10c is that the third penetration image 10c includes five stomach wall layers, while the fifth penetration image 10e may not include all stomach wall layers; the difference between the fifth penetration image 10e and the fourth penetration image 10d is that the fifth penetration image 10e may include non-target stomach wall layer graphics (third type of stomach wall layer graphics) in addition to the target stomach wall layer graphics (first type of stomach wall layer graphics, second type of stomach wall layer graphics), and when the fifth penetration image 10e includes the first type of stomach wall layer graphics, the second type of stomach wall layer graphics, and the non-target stomach wall layer graphics, at least two of the first type of stomach wall layer graphics, the second type of stomach wall layer graphics, and the non-target stomach wall layer graphics are distinguished and displayed in the fifth penetration image 10e. The following continues to use the scenario where the lesion area penetrates from the inside to the outside to the muscularis mucosa as an example for explanation.

[0161] In some embodiments, Fig.10a As shown, in this scenario, the processor 116 generates two fifth penetration images 10e, one of which includes a mucosal layer image 30a, a submucosal layer image 30b, and a mucosal muscular layer image 30c, and the other fifth penetration image 10e includes a mucosal muscular layer image 30c, a muscular layer image 30d, and a serous layer image 30e. The colors of the mucosal layer image 30a and the submucosal layer image 30b are different from the color of the mucosal muscular layer image 30c, and the color of the mucosal muscular layer image 30c is different from the color of the muscular layer image 30d and the serous layer image 30e. In other embodiments, the processor 116 may also generate other numbers of fifth penetration images 10e. For example, the processor 116 generates three fifth penetration images 10e, wherein one fifth penetration image 10e includes a mucosal layer image 30a, another fifth penetration image 10e includes a submucosal layer image 30b, and another fifth penetration image 10e includes a mucosal muscular layer image 30c, a muscular layer image 30d, and a serosal layer image 30e.

[0162] In some embodiments, Fig.10b As shown, in this scenario, the processor 116 generates a fifth penetration image 10e, which includes a mucosal layer image 30a, a submucosal layer image 30b, a mucosal muscular layer image 30c, and a muscular layer image 30d. The colors of the mucosal layer image 30a and the submucosal layer image 30b are different from the color of the mucosal muscular layer image 30c, and the color of the mucosal muscular layer image 30c is different from the color of the muscular layer image 30d and the serous layer image 30e.

[0163] Please refer to Fig.11, Fig.11 The embodiment shown provides an ultrasound imaging method. In other embodiments, the ultrasound method can also be applied to other digestive organs such as intestines. The method includes the steps of:

[0164] Step A100: emitting ultrasonic waves toward the stomach of the subject.

[0165] Step A200: Receive the ultrasonic echo returned by the stomach to obtain an ultrasonic echo signal.

[0166] Step A300: Process the ultrasonic echo signal to obtain stomach image data.

[0167] Step A400: Identify the lesion area of ​​the stomach and five stomach wall layers according to the image data.

[0168] In some embodiments, an ultrasound image of the stomach is generated based on the image data, and then the lesion area of ​​the stomach and the five stomach wall layers are identified using a currently available detection algorithm / model or segmentation algorithm / model.

[0169] Step A500, obtaining the relative position between the lesion area and the five stomach wall layers. Obtaining the relative position between the lesion area and the five stomach wall layers, that is, determining the positional relationship between the lesion area and the mucosal layer, submucosal layer, muscularis mucosa, muscularis layer and serosa layer.

[0170] In some embodiments, the relative positions between the lesion area and the five stomach wall layers are qualitatively obtained. For example, if the identified lesion area is above the mucosal layer, the relative positions between the lesion area and the five stomach wall layers are: the lesion area is above the five stomach wall layers.

[0171] In some embodiments, the relative positions between the lesion area and the five stomach wall layers are quantitatively obtained. For example, after the lesion area is identified to be above the mucosal layer, the distance a millimeters between the lower edge of the lesion area and the mucosal layer is obtained based on the ultrasound image of the stomach. Then, the relative positions between the lesion area and the five stomach wall layers are: the lesion area is above the five stomach wall layers, and the lower edge of the lesion area is a millimeters away from the mucosal layer.

[0172] Step A600: Generate at least two first penetration Fig.10a .

[0173] In some embodiments, five first penetration maps are generated, and each first penetration map Fig.10a The lesion pattern 20 and a stomach wall pattern are included, and each first penetration Fig.10aIn the embodiment of the present invention, the relative position of each stomach wall layer graph and the lesion graph 20 is consistent with the relative position of the corresponding stomach wall layer and the lesion area. The relative position in the present application is consistent with at least two kinds of meanings, and one is qualitative consistency, for example, the lower edge of the lesion area is between the mucosa layer and the submucosal layer, and the lower edge of the lesion graph 20 is between the mucosa layer graph 30a and the submucosal layer graph 30b. The other is quantitative consistency, for example, the lower edge of the lesion area is between the mucosa layer and the submucosal layer, and the distance between the lower edge of the lesion area and the mucosa layer is a millimeter, and the distance between the lower edge of the lesion area and the submucosal layer is b millimeter, and the lower edge of the lesion graph 20 is between the mucosa layer graph 30a and the submucosal layer graph 30b, and the distance between the lower edge of the lesion graph 20 and the mucosa layer graph 30a is a millimeter, and the distance between the lower edge of the lesion graph 20 and the submucosal layer graph 30b is b millimeter.

[0174] In other embodiments, other numbers of first penetrations may be generated. Fig.10a , or, still generate five first penetrations Fig.10a , but each first penetration Fig.10a Specifically, the first penetration Fig.10a When the number of is greater than two, the five stomach wall layer graphics corresponding to the five stomach wall layers are distributed in at least two first penetration Fig.10a For example, generate two first penetration Fig.10a , one of the first penetration Fig.10a The first penetration layer includes a serous layer pattern 30e, a muscle layer pattern 30d, a mucosal muscle layer pattern 30c and a submucosal layer pattern 30b. Fig.10a The mucosal layer pattern 30a is included. For another example, three first penetration Fig.10a , one of the first penetration Fig.10a The first penetration layer includes a serous layer pattern 30e, a muscle layer pattern 30d and a mucosal muscle layer pattern 30c. Fig.10a The first penetration pattern includes the mucosal muscular layer pattern 30c and the submucosal layer pattern 30b. Fig.10a The mucosal layer pattern 30a is included.

[0175] In some embodiments, the first penetration Fig.10a Generate by marking the ultrasound image of the stomach: after generating the ultrasound image of the stomach, mark the lesion area in the ultrasound image, and mark at least one stomach wall layer in the ultrasound image, and finally use the marked ultrasound image as the first penetration Fig.10a For example, if a first penetration Fig.10a The relative position between the mucosal layer and the lesion area should be presented. Figure 6aAs shown in FIG. 1 , the lesion area is marked in the ultrasound image of the stomach, and then the mucosal layer is marked in the ultrasound image of the stomach, thereby forming a first penetration image including a lesion image 20 and a mucosal layer image 30a. Fig.10a Generate the first penetration by marking Fig.10a , so that the shape of the lesion graphic 20 is consistent with the shape of the lesion area, and the shape of the stomach wall layer graphic is also consistent with the shape of the corresponding stomach wall layer, and the relative position between the lesion area and the stomach wall layer can be presented more accurately.

[0176] In some embodiments, the first penetration Fig.10a The method is generated by calling a pre-stored graphic: calling a pre-stored lesion graphic 20, and calling at least one corresponding stomach wall layer graphic from a plurality of pre-stored stomach wall layer graphics; and finally generating a first penetration image according to the called lesion graphic 20, the at least one stomach wall layer graphic, and the relative position between the lesion area and the stomach wall layer. Fig.10a , wherein the pre-stored mucosal layer pattern 30a, submucosal layer pattern 30b, mucosal muscular layer pattern 30c, muscular layer pattern 30d and serous layer pattern 30e may be the same pattern or different patterns. Fig.10a The relative position between the muscle layer and the lesion area should be presented, and the lesion area has been determined to be above the muscle layer. Figure 6b Five first penetrations are generated as shown Fig.10a .

[0177] Step A700: Display at least two first penetrations simultaneously Fig.10a .

[0178] By simultaneously displaying at least two first penetrations Fig.10a , users can penetrate from each first Fig.10a The lesion pattern 20 and the first penetration Fig.10a The relative positions of the gastric wall layer graphics, combined with one's own knowledge, can determine which gastric wall layer the lesion area has penetrated.

[0179] In order to further lower the threshold for reading images, in some embodiments, the first penetration image displayed is also presented in a visual manner. Fig.10a The corresponding relationship between each stomach wall layer graphic and the corresponding stomach wall layer is shown in the figure, so that users can more easily see which stomach wall layer the lesion area has penetrated. Figure 6a First penetration in five Fig.10a The words "layer i" are displayed in the figure, where layer 1 indicates the first penetration Fig.10a The stomach wall layer graphic in the figure is the mucosal layer graphic 30a, and the second layer represents the first penetration Fig.10a The stomach wall layer graphic in the figure is the submucosal layer graphic 30b, and the third layer represents the first penetration Fig.10aThe stomach wall layer graphic in the figure is the mucosal muscular layer graphic 30c, and the fourth layer represents the first penetration Fig.10a The stomach wall layer graphic in the figure is the muscle layer graphic 30d, and the 5th layer represents the first penetration Fig.10a The stomach wall layer pattern in the figure is a serous layer pattern 30e. In other embodiments, the five first penetration Fig.10a The stomach wall layer graphics may also be arranged and displayed according to the positional relationship between the corresponding stomach wall layers, for example, the five first penetration Fig.10a Arranged from top to bottom, by default, they include a mucosal layer graphic 30a, a submucosal layer graphic 30b, a mucosal muscular layer graphic 30c, a muscular layer graphic 30d, and a serosa layer graphic 30e.

[0180] In some embodiments, Fig.12 As shown, after step A500, the following steps are also included:

[0181] Step B600: Generate a second penetration Fig.10b .

[0182] Second penetration Fig.10b The second penetration includes a lesion pattern 20 and five stomach wall layer patterns. Fig.10b The second penetration layer includes a mucosal layer pattern 30a, a submucosal layer pattern 30b, a mucosal muscular layer pattern 30c, a muscular layer pattern 30d and a serous layer pattern 30e. Fig.10b The relative position of each stomach wall layer pattern and the lesion pattern 20 in the figure is consistent with the relative position of the corresponding stomach wall layer and the lesion area. Figure 6a As shown, the second penetration Fig.10b Generate by marking ultrasound images of the stomach, or Figure 7 As shown, the second penetration Fig.10b Generated by calling a pre-stored graph.

[0183] In some embodiments, the second penetration is also presented in a visual manner. Fig.10b The corresponding relationship between each stomach wall layer graphic and the corresponding stomach wall layer in the image is shown in Figure 1. This allows users to more easily see which stomach wall layer the lesion area has penetrated. Figure 7 , mark 1 represents a mucosal layer graphic 30a, mark 2 represents a submucosal layer graphic 30b, mark 3 represents a mucosal muscular layer graphic 30c, mark 4 represents a muscular layer graphic 30d, and mark 5 represents a serosa layer graphic 30e.

[0184] Step B700: Display the second penetration Fig.10b Among them, step A700 and step B700 can be performed simultaneously, that is, at least two first penetration Fig.10a and one Second penetration Fig.10b .

[0185] By showing a second penetration Fig.10b When the first penetration image is displayed, the user can know the positional relationship between the lesion area and all gastric wall layers. Fig.10a The second penetration is shown Fig.10b When performing gastric surgery, the user can refer to these two penetration images at the same time to better judge the penetration of the lesion area into the gastric wall layer.

[0186] In some embodiments, in addition to obtaining the relative position between the lesion area and the five stomach wall layers, the penetration of the lesion area through the five stomach wall layers is obtained according to the relative position between the lesion area and the five stomach wall layers, and at least one of the following steps can be performed based on the penetration: ① changing the first penetration Fig.10a ② generating a third penetration map 10c, displaying the third penetration map 10c; ③ generating at least one fourth penetration map 10d, displaying at least one fourth penetration map 10d; ④ generating at least one fifth penetration map 10e, displaying at least one fifth penetration map 10e.

[0187] It is advisable to divide the stomach wall layer into a target stomach wall layer and a non-target stomach wall layer. The target stomach wall layer is the stomach wall layer penetrated by the lesion area, and the non-target stomach wall layer is the stomach wall layer not contacted by the lesion area. It is understandable that the five stomach wall layers may all be target stomach wall layers, or the five stomach wall layers may all be non-target stomach wall layers. In the present application, the stomach wall layer graphic corresponding to the target stomach wall layer is defined as the target stomach wall layer graphic, and the stomach wall layer graphic corresponding to the non-target stomach wall layer is defined as the non-target stomach wall layer graphic.

[0188] In some embodiments, the target stomach wall layer can be further divided into a first type of stomach wall layer and a second type of stomach wall layer, wherein the first type of stomach wall layer is the stomach wall layer that has been completely penetrated by the lesion area, and the second type of stomach wall layer is the stomach wall layer that has not been completely penetrated by the lesion area. Figure 6a In the figure, the mucosa layer and the submucosa layer are the first type of gastric wall layer, the muscularis mucosa layer is the second type of gastric wall layer, and the muscularis layer and the serosa layer are non-target gastric wall layers. Based on this, the target gastric wall layer graph can be further divided into the first type of gastric wall layer graph and the second type of gastric wall layer graph. For the purpose of easy understanding, the non-target gastric wall layer graph is also called the third type of gastric wall layer graph.

[0189] In some embodiments, it is determined whether there is a boundary region between the lesion region and the stomach wall layer according to the relative position of the lesion region and the stomach wall layer. If there is no boundary region, the stomach wall layer is a non-target stomach wall layer. If there is a boundary region, and the boundary region connects the inner and outer boundaries of the stomach wall layer, the stomach wall layer is a first type of stomach wall layer. If there is a boundary region, but the boundary region does not connect the inner and outer boundaries of the stomach wall layer, the stomach wall layer is a second type of stomach wall layer.

[0190] In some embodiments, the intersection of the lesion region and the inner and outer boundaries of the stomach wall layer is obtained according to the relative positions of the lesion region and the stomach wall layer. If the lesion region does not intersect with the inner and outer boundaries of the stomach wall layer, the stomach wall layer is a non-target stomach wall layer, if the lesion region intersects with both the inner and outer boundaries of the stomach wall layer, the stomach wall layer is a first type of stomach wall layer, and if the lesion region only intersects with the inner boundary or the outer boundary, the stomach wall layer is a second type of stomach wall layer.

[0191] Change the first penetration Fig.10a The display method includes but is not limited to: ① Differentiate and display at least two of the first type of stomach wall layer graphics, the second type of stomach wall layer graphics, and the third type of stomach wall layer graphics. The display method includes but is not limited to differentiating and displaying the first type of stomach wall layer graphics, the second type of stomach wall layer graphics, and the third type of stomach wall layer graphics in different colors and / or brightness. For example, Figure 6b In the figure, the mucosal layer pattern 30a and the submucosal layer pattern 30b are the first type of stomach wall layer patterns, the mucosal muscular layer pattern 30c is the second type of stomach wall layer pattern, the muscular layer pattern 30d and the serous layer pattern 30e are the third type of stomach wall layer patterns. Figure 6b The colors in are different. Figure 6c As shown, the first type of first penetration is distinguished by different background colors Fig.10a , the second type of first penetration Fig.10a and the third type of first penetration Fig.10a At least two of which the first type first penetrates Fig.10a The stomach wall graphics in the figure are all the first type of stomach wall graphics, the second type of first penetration Fig.10a The stomach wall graphics in the figure are all the second type of stomach wall graphics, the third type of first penetration Fig.10a The stomach wall layer graphics in the figure are all the third type of stomach wall layer graphics. It can be understood that the above two methods can also be combined, that is, different types of stomach wall layer graphics are displayed separately, and different types of first penetration Fig.10a The background color is also different.

[0192] By changing the first penetration according to the penetration situation Fig.10a The display mode further lowers the threshold for users to read pictures. Fig.10a The display method can be used to determine the penetration of the lesion area into the gastric wall layer.

[0193] The third penetration diagram 10c is in the second penetration Fig.10b Based on the change of the second penetration Fig.10b Specifically, when generating the second penetration Fig.10b After that, you can distinguish the second penetration Fig.10bFor example, the stomach wall layer graphics corresponding to the stomach wall layers with different penetration conditions in the stomach wall layer graphics may be distinguished and displayed as at least two of the first type of stomach wall layer graphics, the second type of stomach wall layer graphics and the third type of stomach wall layer graphics, for example, Figure 8 In the figure, the mucosal layer pattern 30a and the submucosal layer pattern 30b are the first type of stomach wall layer patterns, the mucosal muscular layer pattern 30c is the second type of stomach wall layer pattern, the muscular layer pattern 30d and the serous layer pattern 30e are the third type of stomach wall layer patterns. Figure 8 The colors in are different.

[0194] Each fourth penetration image 10d includes a lesion image 20 and at least one target stomach wall layer image, and the fourth penetration image 10d does not include a non-target stomach wall layer image, that is, the fourth penetration image 10d is only used to present the stomach wall layer penetrated by the lesion area. Fig.10a Similarly, the relative position of each target stomach wall layer graphic and the lesion graphic 20 in the fourth penetration image 10d is consistent with the relative position of the corresponding target stomach wall layer and the lesion area. In some embodiments, the fourth penetration image 10d is generated by marking the ultrasound image of the stomach, and in other embodiments, the fourth penetration image 10d is generated by calling a pre-stored graphic.

[0195] The following is an example of a scenario where the lesion area penetrates from the inside to the muscularis mucosa.

[0196] In some embodiments, Figure 9a As shown, three fourth penetration images 10d are generated in this scenario, and the three fourth penetration images 10d are displayed at the same time. The three fourth penetration images 10d include a mucosal layer image 30a, a submucosal layer image 30b, and a mucosal muscular layer image 30c, respectively, that is, each fourth penetration image 10d includes a target stomach wall layer image. In other embodiments, other numbers of fourth penetration images 10d can also be generated. Specifically, when the lesion area penetrates at least two stomach wall layers, more than two fourth penetration images 10d can be generated, and the stomach wall layer images corresponding to the stomach wall layers penetrated by the lesion area are distributed in more than two fourth penetration images 10d. For example, in this scenario, two fourth penetration images 10d can be generated, one of which includes a mucosal layer image 30a and a submucosal layer image 30b, and the other fourth penetration image 10d includes a submucosal layer image 30b and a mucosal muscular layer image 30c.

[0197] In some embodiments, three fourth penetration images 10d may be displayed separately, for example, Figure 9bAs shown, the first type fourth penetration image 10d and the second type fourth penetration image 10d can be displayed distinguishably by different background colors, wherein the target stomach wall layer graphic in the first type fourth penetration image 10d is the first type stomach wall layer graphic, and the target stomach wall layer graphic in the second type fourth penetration image 10d is the second type stomach wall layer graphic.

[0198] In some embodiments, Fig.9c As shown, in this scenario, only one fourth penetration image 10d is generated and displayed. In other words, only one fourth penetration image 10d is used to reflect which stomach wall layer the lesion area has penetrated.

[0199] In some embodiments, in the fourth penetration image 10d, the first type of stomach wall layer graphics and the second type of stomach wall layer graphics are distinguished and displayed, for example, Fig.9c and 9d As shown, in the fourth penetration image 10d, the submucosal layer pattern 30b and the muscularis mucosa pattern 30c are displayed in different colors.

[0200] With the first penetration Fig.10a Similarly, the fourth penetration image 10d may also present the corresponding relationship between each target stomach wall layer graphic and the corresponding target stomach wall layer in the fourth penetration image 10d in a visual manner. Fig.9c As shown, the corresponding target stomach wall layer graphics are marked according to the target stomach wall layer, or, when at least two fourth penetration images 10d are generated, at least two fourth penetration images 10d are arranged and displayed according to the positional relationship between the target stomach wall layers presented in the fourth penetration images 10d.

[0201] When the lesion area penetrates at least one stomach wall layer, by generating and displaying at least one fourth penetration image 10d, the user can quickly and intuitively determine which stomach wall layer the lesion area has penetrated, further reducing the user's workload.

[0202] The difference between the fifth penetration image 10e and the third penetration image 10c is that the third penetration image 10c includes five stomach wall layers, while the fifth penetration image 10e may not include all stomach wall layers; the difference between the fifth penetration image 10e and the fourth penetration image 10d is that the fifth penetration image 10e may include non-target stomach wall layer graphics (third type of stomach wall layer graphics) in addition to the target stomach wall layer graphics (first type of stomach wall layer graphics, second type of stomach wall layer graphics), and when the fifth penetration image 10e includes the first type of stomach wall layer graphics, the second type of stomach wall layer graphics, and the non-target stomach wall layer graphics, at least two of the first type of stomach wall layer graphics, the second type of stomach wall layer graphics, and the non-target stomach wall layer graphics are distinguished and displayed in the fifth penetration image 10e. The following continues to use the scenario where the lesion area penetrates from the inside to the outside to the muscularis mucosa as an example for explanation.

[0203] In some embodiments, Fig.10a As shown, two fifth penetration images 10e are generated in this scenario, one of which includes a mucosal layer image 30a, a submucosal layer image 30b, and a mucosal muscular layer image 30c, and the other fifth penetration image 10e includes a mucosal muscular layer image 30c, a muscular layer image 30d, and a serosal layer image 30e. The colors of the mucosal layer image 30a and the submucosal layer image 30b are different from the colors of the mucosal muscular layer image 30c, and the colors of the mucosal muscular layer image 30c are different from the colors of the muscular layer image 30d and the serosal layer image 30e. In other embodiments, other numbers of fifth penetration images 10e may also be generated, for example, three fifth penetration images 10e are generated, one of which includes a mucosal layer image 30a, another of which includes a submucosal layer image 30b, and another of which includes a mucosal muscular layer image 30c, a muscular layer image 30d, and a serosal layer image 30e.

[0204] In some embodiments, Fig.10b As shown, a fifth penetration image 10e is generated in this scenario, and the fifth penetration image 10e includes a mucosal layer image 30a, a submucosal layer image 30b, a mucosal muscular layer image 30c, and a muscular layer image 30d. The colors of the mucosal layer image 30a and the submucosal layer image 30b are different from the color of the mucosal muscular layer image 30c, and the color of the mucosal muscular layer image 30c is different from the color of the muscular layer image 30d and the serous layer image 30e.

[0205] According to the above embodiments, through at least one of the first penetration map, the second penetration map, the third penetration map, the fourth penetration map and the fifth penetration map, the penetration of the lesion area through the digestive wall layer can be more intuitively and quickly reflected. When the digestive organ is the stomach, the user can be more intuitively prompted to the occurrence and breakthrough of stomach occupancy.

[0206] This document is described with reference to various exemplary embodiments. However, those skilled in the art will recognize that changes and modifications may be made to the exemplary embodiments without departing from the scope of this document. For example, various operating steps and components for performing the operating steps may be implemented in different ways (e.g., one or more steps may be deleted, modified, or incorporated into other steps) depending on the specific application or considering any number of cost functions associated with the operation of the system.

[0207] In addition, as will be appreciated by those skilled in the art, the principles of the present invention may be reflected in a computer program product on a computer-readable storage medium, which is pre-installed with a computer-readable program code. Any tangible, non-temporary computer-readable storage medium may be used, including magnetic storage devices (hard disks, floppy disks, etc.), optical storage devices (CD-ROMs, DVDs, Blu Ray disks, etc.), flash memory, and / or the like. These computer program instructions may be loaded onto a general-purpose computer, a special-purpose computer, or other programmable data processing device to form a machine, so that these instructions executed on a computer or other programmable data processing device may generate a device that implements a specified function. These computer program instructions may also be stored in a computer-readable memory, which may instruct a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory may form a manufactured product, including an implementation device that implements a specified function. The computer program instructions may also be loaded onto a computer or other programmable data processing device, so that a series of operating steps are performed on the computer or other programmable device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable device may provide steps for implementing a specified function.

[0208] Although the principles of this invention have been shown in various embodiments, many modifications of structures, arrangements, proportions, elements, materials and components particularly suitable for specific environments and operational requirements can be used without departing from the principles and scope of this invention. The above modifications and other changes or amendments will be included in the scope of this invention.

[0209] The foregoing specific description has been described with reference to various embodiments. However, those skilled in the art will recognize that various modifications and changes can be made without departing from the scope of the present disclosure. Therefore, the consideration of the present disclosure will be illustrative rather than restrictive, and all these modifications will be included in its scope. Similarly, the advantages, other advantages and solutions to the problems of various embodiments have been described above. However, the benefits, advantages, solutions to the problems and any elements that can produce these, or make them more clear, should not be interpreted as critical, necessary or necessary. The term "include" and any other variants used in this article are all non-exclusive inclusions, so that the process, method, article or device including the list of elements not only includes these elements, but also includes other elements that are not explicitly listed or do not belong to the process, method, system, article or device. In addition, the term "coupled" and any other variants used in this article refer to physical connections, electrical connections, magnetic connections, optical connections, communication connections, functional connections and / or any other connections.

[0210] Those skilled in the art will appreciate that many changes may be made to the details of the above-described embodiments without departing from the basic principles of the invention. Therefore, the scope of the invention should be determined from the following claims.

Claims

1. An ultrasonic imaging device, characterized in that: include: Ultrasound probe; A transmitting circuit, wherein the transmitting circuit excites the ultrasonic probe to transmit ultrasonic waves toward the digestive organs of the subject; A receiving circuit, wherein the receiving circuit controls the ultrasonic probe to receive the ultrasonic echo returned by the digestive organ to obtain an ultrasonic echo signal; Processor for: Processing the ultrasonic echo signal to obtain image data of the digestive organ; Identifying the lesion area of ​​the digestive organ and M digestive wall layers according to the image data, where M is an integer greater than or equal to 2; Obtaining the relative position between the lesion area and the M digestive wall layers; Generate at least two first penetration maps, each of the first penetration maps includes a lesion pattern and N digestive wall layer patterns, N is an integer greater than or equal to 1 and less than M, the lesion pattern represents the lesion area, each digestive wall layer pattern represents one digestive wall layer, and M digestive wall layer patterns corresponding to M digestive wall layers are distributed in at least two first penetration maps, and the relative position of each digestive wall layer pattern and the lesion pattern in each of the first penetration maps is consistent with the relative position of the corresponding digestive wall layer and the lesion area; The display is used to simultaneously display at least two of the first penetration images to reflect the penetration of the lesion area through the M digestive wall layers.

2. The ultrasonic imaging device according to claim 1, characterized in that: The processor is further configured to: generating a second penetration map, wherein the second penetration map includes the lesion pattern and each of the digestive wall layer patterns, wherein the relative position of each of the digestive wall layer patterns and the lesion pattern in the second penetration map is consistent with the relative position of the corresponding digestive wall layer and the lesion area; The display is also used to simultaneously display the second penetration map.

3. The ultrasonic imaging device according to claim 1 or 2, characterized in that: The processor is further configured to: Obtaining the penetration of the lesion area into the M digestive wall layers; The digestive wall layer graphics corresponding to the digestive wall layers with different penetration conditions are distinguished and displayed.

4. The ultrasonic imaging device according to claim 3, characterized in that: The obtaining of the penetration of the lesion area into the M digestive wall layers includes: The penetration of the lesion area through the M digestive wall layers is obtained according to the acquired relative positions of the lesion area and the M digestive wall layers.

5. The ultrasonic imaging device according to claim 4, characterized in that: The digestive wall layer graphics corresponding to the digestive wall layers having different penetration conditions are distinguished and displayed, including: Distinguish and display at least two of the first type of digestive wall layer graphics, the second type of digestive wall layer graphics and the third type of digestive wall layer graphics, wherein the first type of digestive wall layer graphics represents that the lesion area has completely penetrated the digestive wall layer, the second type of digestive wall layer graphics represents that the lesion area has not completely penetrated the digestive wall layer, and the third type of digestive wall layer graphics represents that the lesion area does not contact the digestive wall layer.

6. The ultrasonic imaging device according to claim 4 or 5, characterized in that: The digestive wall layer graphics corresponding to the digestive wall layers having different penetration conditions are distinguished and displayed, including: The digestive wall layer graphics corresponding to the digestive wall layers with different penetration conditions are displayed in different colors and / or brightness.

7. The ultrasonic imaging device according to claim 1, characterized in that: The processor is further configured to: Obtaining the penetration of the lesion area into the M digestive wall layers according to the acquired relative positions of the lesion area and the digestive wall layers; The simultaneously displaying at least two of the first penetration images comprises: At least two of the first type of first penetration image, the second type of first penetration image and the third type of first penetration image are displayed by distinguishing different background colors, wherein the digestive wall layer represented by the digestive wall layer graphic in the first type of first penetration image is completely penetrated by the lesion area, the digestive wall layer represented by the digestive wall layer graphic in the second type of first penetration image is not completely penetrated by the lesion area, and the digestive wall layer represented by the digestive wall layer graphic in the third type of first penetration image is not in contact with the lesion area.

8. The ultrasonic imaging device according to claim 4 or 7, characterized in that: The step of obtaining the penetration of the lesion area through the M digestive wall layers according to the obtained relative positions of the lesion area and the digestive wall layers comprises: According to the relative positions of the lesion area and the M digestive wall layers, it is determined whether there is a boundary area between the lesion area and the digestive wall layers. If there is no boundary area, it is determined that the lesion area does not contact the digestive wall layers. If there is a boundary area, it is determined whether the lesion area has not completely penetrated or has completely penetrated the digestive wall layers according to whether the boundary area connects the inner and outer boundaries of the digestive wall layers.

9. The ultrasonic imaging device according to claim 4 or 7, characterized in that: The step of obtaining the penetration of the lesion area through the M digestive wall layers according to the obtained relative positions of the lesion area and the M digestive wall layers comprises: The intersection of the lesion area with the inner and outer boundaries of the digestive wall layer is obtained according to the relative positions of the lesion area and the M digestive wall layers, and the penetration of the lesion area through the M digestive wall layers is obtained according to the intersection.

10. The ultrasonic imaging device according to claim 1, characterized in that: Any method of generating the first penetration map includes: generating an ultrasonic image of the digestive organ according to the image data of the digestive organ; Marking the lesion area in the ultrasound image; marking at least one of the digestive wall layers in the ultrasound image based on the digestive wall layer represented by the digestive wall layer graphic in the first penetration image to be generated; The marked ultrasound image is used as the first penetration image.

11. The ultrasonic imaging device according to claim 1, characterized in that: Any method of generating the first penetration map includes: Recalling the pre-stored lesion pattern; Based on the digestive wall layer represented by the digestive wall layer graphic in the first penetration image to be generated, calling at least one corresponding digestive wall layer graphic from a plurality of pre-stored digestive wall layer graphics; The first penetration map is generated according to the called lesion image, at least one of the digestive wall layer images, and the relative position between the lesion area and the digestive wall layer.

12. The ultrasonic imaging device according to claim 1, characterized in that: The display is also used to present in a visual manner the corresponding relationship between each of the digestive wall layer graphics and the corresponding digestive wall layer in the displayed first penetration image.

13. The ultrasonic imaging device according to claim 12, characterized in that: The corresponding relationship between each digestive wall layer graphic and the corresponding digestive wall layer in the first penetration diagram presented in a visual manner includes: Marking the corresponding digestive wall layer graphics according to the digestive wall layer; and / or At least two of the first penetration images are arranged and displayed according to the positional relationship between the M digestive wall layers.

14. The ultrasonic imaging device according to claim 1, characterized in that: When the digestive organ is a stomach, generating at least two first penetration images comprises: Five first penetration maps are generated, each of which includes a digestive wall layer graph, and the five digestive wall layer graphs respectively represent the mucosal layer, submucosal layer, mucosal muscular layer, muscular layer and serosa layer of the stomach.

15. An ultrasonic imaging device, characterized in that: include: Ultrasound probe; A transmitting circuit, wherein the transmitting circuit excites the ultrasonic probe to transmit ultrasonic waves toward the digestive organs of the subject; A receiving circuit, wherein the receiving circuit controls the ultrasonic probe to receive the ultrasonic echo returned by the digestive organ to obtain an ultrasonic echo signal; Processor for: Processing the ultrasonic echo signal to obtain image data of the digestive organ; Identifying the lesion area of ​​the digestive organ and M digestive wall layers according to the image data, where M is an integer greater than or equal to 2; Obtaining the relative position between the lesion area and the M digestive wall layers, and obtaining the penetration of the lesion area into the M digestive wall layers according to the relative position; Generate a third penetration map, the third penetration map comprising a lesion pattern and M digestive wall layer patterns, the lesion pattern representing the lesion area, each digestive wall layer pattern representing one digestive wall layer, and the relative position of each digestive wall layer pattern and the lesion pattern in the third penetration map is consistent with the relative position of the corresponding digestive wall layer and the lesion area; The display area is used to display the third penetration map, and in the third penetration map, the digestive wall layer graphics corresponding to the digestive wall layers with different penetration conditions are distinguished and displayed to reflect the penetration conditions of the lesion area on the M digestive wall layers.

16. The ultrasonic imaging device according to claim 15, characterized in that: The digestive wall layer graphics corresponding to the digestive wall layers having different penetration conditions are distinguished and displayed, including: Distinguish and display at least two of the first type of digestive wall layer graphics, the second type of digestive wall layer graphics and the third type of digestive wall layer graphics, wherein the first type of digestive wall layer graphics represents that the lesion area has completely penetrated the digestive wall layer, the second type of digestive wall layer graphics represents that the lesion area has not completely penetrated the digestive wall layer, and the third type of digestive wall layer graphics represents that the lesion area does not contact the digestive wall layer.

17. The ultrasonic imaging device according to claim 15 or 16, characterized in that: The digestive wall layer graphics corresponding to the digestive wall layers having different penetration conditions are distinguished and displayed, including: The digestive wall layer graphics corresponding to the digestive wall layers with different penetration conditions are displayed in different colors and / or brightness.

18. The ultrasonic imaging device according to claim 15, characterized in that: The display is also used to present 3 in a visual manner the corresponding relationship between each digestive wall layer graphic in the displayed third penetration image and the corresponding digestive wall layer.

19. The ultrasonic imaging device according to claim 18, characterized in that: The corresponding relationship between each digestive wall layer graphic and the corresponding digestive wall layer in the third penetration diagram presented in a visual manner includes: The corresponding digestive wall layer graphics are marked according to the digestive wall layer.

20. The ultrasonic imaging device according to claim 15, characterized in that: When the digestive organ is the stomach, the third penetration map includes a lesion map and M digestive wall layer maps, the lesion map represents the lesion area, and each digestive wall layer map represents a digestive wall layer, including: The third penetration map includes a lesion image and five stomach wall layer graphics, the lesion image represents the lesion area, and the five stomach wall layer graphics respectively represent the mucosal layer, submucosal layer, mucosal muscular layer, muscular layer and serosa layer of the stomach.

21. An ultrasonic imaging device, characterized in that: include: Ultrasound probe; A transmitting circuit, wherein the transmitting circuit excites the ultrasonic probe to transmit ultrasonic waves toward the digestive organs of the subject; A receiving circuit, wherein the receiving circuit controls the ultrasonic probe to receive the ultrasonic echo returned by the digestive organ to obtain an ultrasonic echo signal; Processor for: Processing the ultrasonic echo signal to obtain image data of the digestive organ; identifying the lesion area and multiple digestive wall layers of the digestive organ according to the image data; Acquire the relative position between the lesion area and the plurality of digestive wall layers, and acquire the penetration of the lesion area into each of the digestive wall layers according to the relative position; Distinguishing target digestive wall layers and non-target digestive wall layers among the plurality of digestive wall layers according to the penetration conditions, wherein the target digestive wall layer is a digestive wall layer penetrated by the lesion area, and the non-target digestive wall layer is a digestive wall layer not contacted by the lesion area; When there are P target digestive wall layers, at least one fourth penetration map is generated, wherein P is a positive integer; each of the fourth penetration maps includes a lesion graphic for characterizing the lesion area and at least one target digestive wall layer graphic for characterizing the target digestive wall layer, and the fourth penetration map does not include a non-target digestive wall layer graphic for characterizing a non-target digestive wall layer, and the P target digestive wall layer graphics corresponding to the P target digestive wall layers are distributed in at least one fourth penetration map, and the relative position of each target digestive wall layer graphic and the lesion graphic in the fourth penetration map is consistent with the relative position of the corresponding target digestive wall layer and the lesion area; The display is used to display at least one of the fourth penetration images to reflect the penetration of the lesion area through the multiple digestive wall layers.

22. The ultrasonic imaging device according to claim 21, characterized in that: When there are P target digestive wall layers, generating at least one fourth penetration map comprises: When P is greater than or equal to 2, generating at least two fourth penetration graphs; The displaying of at least one of the fourth penetration images includes: displaying at least two of the fourth penetration images simultaneously.

23. The ultrasonic imaging device according to claim 22, characterized in that: The simultaneously displaying at least two of the fourth penetration images comprises: The first type of fourth penetration image and the second type of fourth penetration image are displayed by distinguishing between different background colors. In the first type of fourth penetration image, the target digestive wall layer represented by the target digestive wall layer graphic is completely penetrated by the lesion area, while in the second type of fourth penetration image, the target digestive wall layer represented by the target digestive wall layer graphic is not completely penetrated by the lesion area.

24. The ultrasonic imaging device according to claim 21, characterized in that: When there are P target digestive wall layers, generating at least one fourth penetration map comprises: When there are P target digestive wall layers, a fourth penetration map is generated, and P target digestive wall layer graphics are displayed in the fourth penetration map.

25. The ultrasonic imaging device according to any one of claims 21 to 24, characterized in that: Also includes: In the fourth penetration map, a first type of digestive wall layer graphic and a second type of digestive wall layer graphic are distinguished and displayed, the first type of digestive wall layer graphic represents that the lesion area has completely penetrated the target digestive wall layer, and the second type of digestive wall layer graphic represents that the lesion area has not completely penetrated the target digestive wall layer.

26. The ultrasonic imaging device according to claim 21, characterized in that: The display is also used to present in a visual manner the corresponding relationship between each of the target digestive wall layer graphics in the displayed fourth penetration image and the corresponding target digestive wall layer.

27. The ultrasonic imaging device according to claim 26, characterized in that: The corresponding relationship between each target digestive wall layer graphic and the corresponding target digestive wall layer in the fourth penetration map presented in a visual manner includes: Marking the target digestive wall layer graphics according to the target digestive wall layer; and / or When at least two of the fourth penetration images are generated, the at least two of the fourth penetration images are arranged and displayed according to the positional relationship between the P target digestive wall layers.

28. An ultrasonic imaging device, characterized in that: include: Ultrasound probe; A transmitting circuit, wherein the transmitting circuit excites the ultrasonic probe to transmit ultrasonic waves toward the digestive organs of the subject; A receiving circuit, wherein the receiving circuit controls the ultrasonic probe to receive the ultrasonic echo returned by the digestive organ to obtain an ultrasonic echo signal; Processor for: Processing the ultrasonic echo signal to obtain image data of the digestive organ; identifying the lesion area and multiple digestive wall layers of the digestive organ according to the image data; Acquiring the relative position between the lesion area and the plurality of digestive wall layers, and determining the penetration of the lesion area through the plurality of digestive wall layers according to the relative position; Distinguishing target digestive wall layers and non-target digestive wall layers among the plurality of digestive wall layers according to the penetration conditions, wherein the target digestive wall layer is a digestive wall layer penetrated by the lesion area, and the non-target digestive wall layer is a digestive wall layer not contacted by the lesion area; generating at least one fifth penetration map, each of the fifth penetration maps comprising a lesion pattern for characterizing the lesion area and at least one digestive wall layer pattern for characterizing the digestive wall layer, wherein the relative position between each of the digestive wall layer patterns and the lesion pattern in the fifth penetration map is consistent with the relative position between the corresponding target digestive wall layer and the lesion area; The display is used to display at least one of the fifth penetration images, and in the fifth penetration image, at least two of the first type of digestive wall layer graphics, the second type of digestive wall layer graphics, and the non-target digestive wall layer graphics are distinguished and displayed, wherein the first type of digestive wall layer graphics represents that the lesion area has completely penetrated the digestive wall layer, and the second type of digestive wall layer graphics represents that the lesion area has not completely penetrated the digestive wall layer.

29. The ultrasonic imaging device according to claim 1, 15, 21 or 28, characterized in that: The digestive organ is the stomach or the intestine.

30. The ultrasonic imaging device according to claim 1, 15, 21 or 28, characterized in that: The transmitting circuit excites the ultrasonic probe to transmit ultrasonic waves to the digestive organ of the subject, including: the transmitting circuit excites the ultrasonic probe to transmit ultrasonic waves from outside the body of the subject to the digestive organ; or The ultrasonic imaging device also includes an insertion part, which is used to be inserted into the digestive organ. The ultrasonic probe is located at the end of the insertion part. The transmitting circuit excites the ultrasonic probe to transmit ultrasonic waves to the digestive organ, including: the transmitting circuit excites the ultrasonic probe to transmit ultrasonic waves from inside the digestive organ to the digestive organ.

31. An ultrasonic imaging method, characterized in that: include: Sending ultrasonic waves to the digestive organs of the person being tested; receiving the ultrasonic echo returned by the digestive organ to obtain an ultrasonic echo signal; Processing the ultrasonic echo signal to obtain image data of the digestive organ; Identifying the lesion area of ​​the digestive organ and M digestive wall layers according to the image data, where M is an integer greater than or equal to 2; Obtaining the relative position between the lesion area and the M digestive wall layers; Generate at least two first penetration maps, each of the first penetration maps includes a lesion pattern and N digestive wall layer patterns, N is an integer greater than or equal to 1 and less than M, the lesion pattern represents the lesion area, each digestive wall layer pattern represents one digestive wall layer, and M digestive wall layer patterns corresponding to M digestive wall layers are distributed in at least two first penetration maps, and the relative position of each digestive wall layer pattern and the lesion pattern in each of the first penetration maps is consistent with the relative position of the corresponding digestive wall layer and the lesion area; At least two of the first penetration images are displayed simultaneously to reflect the penetration of the lesion area through the M digestive wall layers.

32. The method of claim 31, wherein: Also includes: generating a second penetration map, wherein the second penetration map includes the lesion pattern and each of the digestive wall layer patterns, wherein the relative position of each of the digestive wall layer patterns and the lesion pattern in the second penetration map is consistent with the relative position of the corresponding digestive wall layer and the lesion area; The second penetration map is displayed simultaneously.

33. The method according to claim 31 or 32, characterized in that Also includes: Obtaining the penetration of the lesion area into the M digestive wall layers according to the acquired relative positions of the lesion area and the M digestive wall layers; The digestive wall layer graphics corresponding to the digestive wall layers with different penetration conditions are distinguished and displayed.

34. The method of claim 33, wherein: The digestive wall layer graphics corresponding to the digestive wall layers having different penetration conditions are distinguished and displayed, including: Distinguish and display at least two of the first type of digestive wall layer graphics, the second type of digestive wall layer graphics and the third type of digestive wall layer graphics, wherein the first type of digestive wall layer graphics represents that the lesion area has completely penetrated the digestive wall layer, the second type of digestive wall layer graphics represents that the lesion area has not completely penetrated the digestive wall layer, and the third type of digestive wall layer graphics represents that the lesion area does not contact the digestive wall layer.

35. The method of claim 31, wherein: Also includes: Obtaining the penetration of the lesion area into the M digestive wall layers according to the acquired relative positions of the lesion area and the digestive wall layers; The simultaneously displaying at least two of the first penetration images comprises: At least two of the first type of first penetration image, the second type of first penetration image and the third type of first penetration image are displayed by distinguishing different background colors, wherein the digestive wall layer represented by the digestive wall layer graphic in the first type of first penetration image is completely penetrated by the lesion area, the digestive wall layer represented by the digestive wall layer graphic in the second type of first penetration image is not completely penetrated by the lesion area, and the digestive wall layer represented by the digestive wall layer graphic in the third type of first penetration image is not in contact with the lesion area.

36. An ultrasonic imaging method, characterized in that: include: Sending ultrasonic waves to the digestive organs of the person being tested; receiving the ultrasonic echo returned by the digestive organ to obtain an ultrasonic echo signal; Processing the ultrasonic echo signal to obtain image data of the digestive organ; Identifying the lesion area of ​​the digestive organ and M digestive wall layers according to the image data, where M is an integer greater than or equal to 2; Obtaining the relative position between the lesion area and the M digestive wall layers, and obtaining the penetration of the lesion area into the M digestive wall layers according to the relative position; Generate a third penetration map, the third penetration map comprising a lesion pattern and M digestive wall layer patterns, the lesion pattern representing the lesion area, each digestive wall layer pattern representing one digestive wall layer, and the relative position of each digestive wall layer pattern and the lesion pattern in the third penetration map is consistent with the relative position of the corresponding digestive wall layer and the lesion area; The third penetration map is displayed, and the digestive wall layer graphics corresponding to the digestive wall layers with different penetration conditions are distinguished and displayed in the third penetration map to reflect the penetration conditions of the lesion area on the M digestive wall layers.

37. The method of claim 36, wherein: The digestive wall layer graphics corresponding to the digestive wall layers having different penetration conditions are distinguished and displayed, including: Distinguish and display at least two of the first type of digestive wall layer graphics, the second type of digestive wall layer graphics and the third type of digestive wall layer graphics, wherein the first type of digestive wall layer graphics represents that the lesion area has completely penetrated the digestive wall layer, the second type of digestive wall layer graphics represents that the lesion area has not completely penetrated the digestive wall layer, and the third type of digestive wall layer graphics represents that the lesion area does not contact the digestive wall layer.

38. An ultrasonic imaging method, characterized in that: include: Sending ultrasonic waves to the digestive organs of the person being tested; receiving the ultrasonic echo returned by the digestive organ to obtain an ultrasonic echo signal; Processing the ultrasonic echo signal to obtain image data of the digestive organ; identifying the lesion area and multiple digestive wall layers of the digestive organ according to the image data; Obtaining the relative position between the lesion area and the plurality of digestive wall layers, and obtaining the penetration of the lesion area into each of the digestive wall layers according to the relative position; Distinguishing target digestive wall layers and non-target digestive wall layers among the plurality of digestive wall layers according to the penetration conditions, wherein the target digestive wall layer is a digestive wall layer penetrated by the lesion area, and the non-target digestive wall layer is a digestive wall layer not contacted by the lesion area; When there are P target digestive wall layers, at least one fourth penetration map is generated, wherein P is a positive integer; each of the fourth penetration maps includes a lesion graphic for characterizing the lesion area and at least one target digestive wall layer graphic for characterizing the target digestive wall layer, and the fourth penetration map does not include a non-target digestive wall layer graphic for characterizing a non-target digestive wall layer, and the P target digestive wall layer graphics corresponding to the P target digestive wall layers are distributed in at least one fourth penetration map, and the relative position of each target digestive wall layer graphic and the lesion graphic in the fourth penetration map is consistent with the relative position of the corresponding target digestive wall layer and the lesion area; At least one of the fourth penetration images is displayed to reflect the penetration of the lesion area through the plurality of digestive wall layers.

39. The ultrasonic imaging method according to claim 38, wherein: When there are P target digestive wall layers, generating at least one fourth penetration map comprises: When P is greater than or equal to 2, generating at least two fourth penetration graphs; The displaying of at least one of the fourth penetration images includes: displaying at least two of the fourth penetration images simultaneously.

40. The ultrasonic imaging method according to claim 39, wherein: The simultaneously displaying at least two of the fourth penetration images comprises: The first type of fourth penetration image and the second type of fourth penetration image are displayed by distinguishing between different background colors. In the first type of fourth penetration image, the target digestive wall layer represented by the target digestive wall layer graphic is completely penetrated by the lesion area, while in the second type of fourth penetration image, the target digestive wall layer represented by the target digestive wall layer graphic is not completely penetrated by the lesion area.

41. The ultrasonic imaging method according to claim 38, wherein: When there are P target digestive wall layers, generating at least one fourth penetration map comprises: When there are P target digestive wall layers, a fourth penetration map is generated, and P target digestive wall layer graphics are displayed in the fourth penetration map.

42. The ultrasonic imaging method according to any one of claims 38 to 41, characterized in that: Also includes: In the fourth penetration map, a first type of digestive wall layer graphic and a second type of digestive wall layer graphic are distinguished and displayed, the first type of digestive wall layer graphic represents that the lesion area has completely penetrated the target digestive wall layer, and the second type of digestive wall layer graphic represents that the lesion area has not completely penetrated the target digestive wall layer.

43. An ultrasonic imaging method, characterized in that: Sending ultrasonic waves to the digestive organs of the person being tested; receiving the ultrasonic echo returned by the digestive organ to obtain an ultrasonic echo signal; Processing the ultrasonic echo signal to obtain image data of the digestive organ; identifying a lesion area and a plurality of digestive wall layers of a digestive organ according to the image data; Acquiring the relative position between the lesion area and the plurality of digestive wall layers, and determining the penetration of the lesion area through the plurality of digestive wall layers according to the relative position; Distinguishing target digestive wall layers and non-target digestive wall layers among the plurality of digestive wall layers according to the penetration conditions, wherein the target digestive wall layer is a digestive wall layer penetrated by the lesion area, and the non-target digestive wall layer is a digestive wall layer not contacted by the lesion area; generating at least one fifth penetration map, each of the fifth penetration maps comprising a lesion pattern for characterizing the lesion area and at least one digestive wall layer pattern for characterizing the digestive wall layer, wherein the relative position between each of the digestive wall layer patterns and the lesion pattern in the fifth penetration map is consistent with the relative position between the corresponding target digestive wall layer and the lesion area; At least one of the fifth penetration images is displayed, and at least two of the first type of digestive wall layer images, the second type of digestive wall layer images, and the non-target digestive wall layer images are distinguished and displayed in the fifth penetration image, wherein the first type of digestive wall layer images represents that the lesion area has completely penetrated the digestive wall layer, and the second type of digestive wall layer images represents that the lesion area has not completely penetrated the digestive wall layer.

44. A computer-readable storage medium, characterized in that The medium stores a program, which can be executed by a processor to implement the method according to any one of claims 31 to 43.

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