A medical imaging scanning method, system, medium, and mobile CT scanning device

Abstract

The present application provides a scanning method, a system, a computer-readable medium, and a mobile CT scanning device. The method may include obtaining a first image related to a target object, where the first image includes scene information of the scene where the target object is located; determining the scene where the target object is located based on the first image; obtaining a second image related to the target object; determining the part of the target object to be scanned based on the second image; and determining a scanning protocol related to the target object based on the scene and the part to be scanned, where the scanning protocol includes scanning parameters.

Description

Technical Field

[0001] This specification relates to the field of medical imaging, and particularly to an intelligent scanning method and system for a mobile medical imaging device. Background Art

[0002] Mobile medical imaging devices, such as mobile computed tomography (CT), provide new possibilities for the application of medical imaging devices. Traditional fixed-position medical imaging devices require patients to be moved to a specific shielding room, which is not friendly for emergency cases or intraoperative evaluations. Mobile medical imaging devices can be unrestricted by the site and quickly move to the patient's side to complete the scan. During surgery, mobile medical imaging devices can complete the evaluation of the surgical process and effect in a timely manner. However, the use of mobile medical imaging devices is still limited by the workflow of traditional fixed-position medical imaging devices. Imaging technicians need to select a scan protocol according to the patient's needs before starting the scan. Generally speaking, computed tomography (CT) may include hundreds of scan protocols. And mobile medical imaging devices may need to move between multiple operating tables to complete the evaluations of multiple surgeries. Frequently selecting scan protocols from hundreds of scan protocols will bring great inconvenience to imaging technicians.

[0003] Therefore, this application hopes to provide an intelligent scanning method and system to reduce the scan protocol setting process during the scanning process of mobile medical imaging devices, so as to make the use of mobile medical imaging devices more convenient. Summary of the Invention

[0004] One embodiment of this specification provides a scanning method. The method includes: obtaining a first image related to a target object, where the first image includes scene information of the location where the target object is located; determining the scene where the target object is located based on the first image; obtaining a second image related to the target object; determining the part of the target object to be scanned based on the second image; determining a scan protocol related to the target object based on the scene and the part to be scanned, where the scan protocol includes scan parameters. According to the above method, the medical imaging device can select one or several scan protocols from a large number of scan protocols based on the scene and the scanned part for the user to determine the scan protocol related to the target object. Therefore, it can avoid the user spending a lot of time repeatedly searching for a specific scan protocol from a large number of scan protocols, but can quickly determine the scan protocol related to the target object from one or a small number of scan protocols, making it more convenient for the user to find a specific scan protocol and saving the user's time.

[0005] In some embodiments, a first recognition model can be used to recognize the scene where the target object is located based on the first image. In some embodiments, the scene may include the type of the room where the target object is located. In some embodiments, the scene may include the spatial layout of the room where the target object is located.

[0006] In some embodiments, the second image may include the whole and / or a part of the target object, and may be used to determine the part of the target object to be scanned. In some embodiments, a second recognition model may be used to recognize the part of the target object to be scanned based on the second image.

[0007] In some embodiments, it may be determined whether there is one or more preset scanning protocols associated with the scenario. When there is one or more preset scanning protocols associated with the scenario, one of the one or more preset scanning protocols may be selected as the scanning protocol related to the target object based on the part of the target object to be scanned. When there is no one or more preset scanning protocols associated with the scenario, at least two scanning protocols associated with the part of the target object to be scanned may be determined, an instruction for selecting one of the at least two scanning protocols may be obtained, and the scanning protocol related to the target object may be determined from the at least two scanning protocols according to the instruction. In some embodiments, the one or more preset scanning protocols may include pre-set scanning parameters, and the scanning protocol related to the target object in the one or more preset scanning protocols may be directly used to scan the target object. In some embodiments, the scanning parameters in the scanning protocol related to the target object determined from the at least two scanning protocols may be adjusted according to the target object. Since the medical imaging device can determine the scanning protocol related to the target object from one or several preset scanning protocols based on the scenario and the scanning part, and the parameters of the scanning protocol can be directly used to scan the target object, it is possible to prevent the user from spending a long time looking for a specific scanning protocol from a large number of scanning protocols, and further prevent the time spent on setting the scanning parameters in the scanning protocol, which can make the determination of the scanning protocol more rapid, save time for the user, and enable the scanning to start as soon as possible.

[0008] In some embodiments, the scanning coordinates related to the target object may be determined based on the scenario and / or the scanning protocol. In some embodiments, the user interface may be determined based on the scenario. In some embodiments, it may be determined based on the scenario whether the user interface needs to intervene in the display tile of the needle. Since the medical imaging device can automatically determine the scanning coordinates and / or the user interface according to the scenario where the target object is located and / or the scanning protocol, the user can be spared from manually setting or switching the coordinate system and / or the user interface, reducing the manual steps in the scanning process.

[0009] In some embodiments, the scanning device may scan the target object based on the scanning protocol and the scanning coordinates.

[0010] One embodiment of this specification provides a mobile CT scanning device. The mobile CT scanning device includes: a mobile device for moving the mobile CT scanning device; a frame connected to the mobile device; a scanning device located on the frame for scanning a target object; a photographing device for photographing an image related to the target object; a control device for controlling the movement of the scanning device; and a processor for implementing the scanning method as described above when executed.

[0011] One embodiment of this specification provides a scanning system. The system includes: an acquisition module for acquiring a first image and a second image related to a target object, the first image including scene information of the location where the target object is located; and a scanning parameter determination module for determining the scene where the target object is located based on the first image; for determining the part of the target object to be scanned based on the second image; and for determining a scanning protocol related to the target object based on the scene and the part to be scanned, the scanning protocol including scanning parameters.

[0012] One embodiment of this specification provides a computer-readable storage medium storing computer instructions that implement the scanning method as described above when executed by a processor.

[0013] Some additional features of this application can be described below. Through the study of the following description and the corresponding drawings, or the understanding of the production or operation of the embodiments, some additional features of this application will be apparent to those skilled in the art. The features of this application can be realized and obtained through various aspects of the methods, means, and combinations described in the following detailed examples. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] This specification will be further described by way of exemplary embodiments, which will be described in detail through the drawings. These embodiments are not restrictive. In these embodiments, the same reference numerals represent the same structures, where:

[0015] Figure 1 is a schematic diagram of an application scenario of an exemplary mobile medical imaging device according to some embodiments of this specification;

[0016] Figure 2 is a schematic diagram of modules of an exemplary scanning system according to some embodiments of this specification;

[0017] Figure 3 is a schematic flowchart of an exemplary scanning process according to some embodiments of this specification;

[0018] Figure 4 is a schematic flowchart of an exemplary process for determining a scanning protocol and scanning coordinates for scanning a target object; and

[0019] Figure 5 It is a schematic flowchart for determining a scanning protocol according to some embodiments of this specification. Detailed implementation manners

[0020] To more clearly illustrate the technical solutions of the embodiments of this specification, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following-described drawings are only some examples or embodiments of this specification. For those of ordinary skill in the art, without creative efforts, this specification can also be applied to other similar scenarios based on these drawings. Unless obvious from the language context or otherwise stated, the same reference numerals in the drawings represent the same structure or operation.

[0021] It should be understood that the "system", "device", "unit" and / or "module" used herein is a way to distinguish different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the said words can be replaced by other expressions.

[0022] As shown in this specification and the claims, unless the context clearly indicates an exception, words such as "a", "an", "one" and / or "the" are not specifically singular and may also include the plural. Generally speaking, the terms "comprising" and "including" only indicate the inclusion of the clearly identified steps and elements, and these steps and elements do not constitute an exclusive list. The method or device may also include other steps or elements.

[0023] Flowcharts are used in this specification to illustrate the operations performed by the systems according to the embodiments of this specification. It should be understood that the operations before or after may not necessarily be executed precisely in sequence. On the contrary, they can be executed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or one or several operations can be removed from these processes.

[0024] Figure 1 It is a schematic diagram of the application scenario of a mobile medical imaging device according to some embodiments of this specification. As Figure 1 shown, the application scenario 100 of the mobile medical imaging device may include a medical device 110, a processing device 120, a terminal device 130, a storage device 140, a network 150, and a camera device 160. In some embodiments, the processing device 120 may be a part of the medical device 110. The connections between the components in the application scenario 100 can be variable. As Figure 1As shown, the medical device 110 can be connected to the processing device 120 via the network 150. As another example, the medical device 110 can be directly connected to the processing device 120. As yet another example, the storage device 140 can be directly or via the network 150 connected to the processing device 120. As a further example, the terminal device 130 can be directly connected to the processing device 120 (as shown by the dashed arrow connecting the terminal device 130 and the processing device 120), or can be connected to the processing device 120 via the network 150. As a further example, the imaging device 160 can be directly or via the network 150 connected to the processing device 120.

[0025] The medical device 110 can be a non-invasive scanning imaging device for disease diagnosis or research purposes. In some embodiments, the medical device 110 can scan a target object within a detection area or a scanning area to obtain scanning data of the target object. In some embodiments, the medical device 110 can include a computed tomography (CT) scanner, a magnetic resonance imaging (MRI) scanner, an X-ray imaging scanner, a single photon emission computed tomography (SPECT) scanner, a positron emission tomography (PET) scanner, etc. or any combination thereof. In some embodiments, the medical device 110 can be a mobile medical imaging device. For ease of description, in the following, the medical device 110, the mobile medical imaging device, the medical imaging device, the scanner, etc. are all exemplified by a CT. In some embodiments, the processing device 120 can be integrated on the medical device 110, or the medical device 110 and the processing device 120 can achieve their functions through the same entity. The medical devices provided above are for illustrative purposes only and are not intended to limit the scope of this specification.

[0026] In some embodiments, the medical device 110 may be a mobile CT scanning device. The mobile CT scanning device may include a mobile device, a gantry, a scanning device, a photographing device, a control device, and a processor. The mobile device may be used to move the mobile CT scanning device. For example, it can be moved between different operating rooms and different positions within an operating room. In some embodiments, the mobile device may be a sliding rail, wheels, robotic legs, or other mobile devices. The gantry may be connected to the mobile device. In some embodiments, the mobile device may be installed below the gantry, enabling the gantry to move along with the movement of the mobile device. The scanning device and the photographing device may be installed on the gantry. The scanning device may be used to scan a target object. The scanning device may include an X-ray tube and a detector. In some embodiments, the photographing device may include a camera (e.g., a visible light imaging device) for photographing images related to the target object. For example, a first image and / or a second image. In some embodiments, the photographing device may include an infrared imaging device and / or a radar, capable of obtaining information related to the scene where the target object is located and / or information about the target object. In some embodiments, the photographing device may include the imaging device 160. In some embodiments, the mobile CT scanning device may not include a photographing device. The mobile CT scanning device may obtain images captured or generated by a photographing device in its environment through the network 150. The control device may be used to control the movement of the scanning device. In some embodiments, the control device may control the movement of the scanning device by controlling the movement of the mobile device. In some embodiments, the control device may control the movement of the gantry to control the movement of the scanning device. In some embodiments, the gantry and the scanning device are movably connected, and the control device may control the movement of the scanning device on the gantry. The processor may be used to execute processes such as Figures 3 - 5 in the scanning process, determine the scanning protocol, determine the scanning coordinates, etc. In some embodiments, the processor may include modules as shown in Figure 2 . In some embodiments, the processing device 120 may be a part of the processor.

[0027] The processing device 120 may process data and / or information obtained from the medical device 110, the terminal device 130, the storage device 140, the imaging device 160, or other components of the application scenario 100. For example, the processing device 120 may obtain a first image captured by the imaging device 160. The first image may be an image related to the target object and may display the scene information where the target object is located. The processing device 120 may also obtain a second image captured by the imaging device 160. The second image may display the information of the surgical site of the target object. The processing device 120 may determine a scanning protocol based on the first image and / or the second image. The scanning protocol is used for the scanner to perform a medical scan on the target object. In some embodiments, the processing device 120 may be local or remote. For example, the processing device 120 may access information and / or data from the medical device 110, the terminal device 130, the storage device 140, and / or the imaging device 160 through the network 150.

[0028] The terminal device 130 may include a mobile device 131, a tablet computer 132, a laptop computer 133, etc., or any combination thereof. In some embodiments, the terminal device 130 may be a part of the processing device 120. In some embodiments, the terminal device 130 may receive one or more scanning protocols determined by the processing device 120. In some embodiments, the terminal device 130 may display the one or more scanning protocols. In some embodiments, the terminal device 130 may receive a selection of one of the one or more scanning protocols.

[0029] The storage device 140 may store data, instructions, and / or any other information. For example, the storage device 140 may store multiple scanning protocols. For another example, the storage device 140 may store an identification model. The identification model is used to identify the scene where the target object is located based on the first image. In some embodiments, the storage device 140 may store data obtained from the medical device 110, the processing device 120, the terminal device 130, and / or the imaging device 160. For example, the storage device 140 may store the first image and / or the second image captured by the imaging device 160.

[0030] In some embodiments, the storage device 140 may include one or more storage components, and each storage component may be an independent device or a part of other devices (such as the processing device 120). In some embodiments, the storage device 140 may include a random access memory (RAM), a read-only memory (ROM), a mass storage device, a removable memory, a volatile read-write memory, etc., or any combination thereof. Exemplarily, the mass storage device may include a magnetic disk, an optical disk, a solid-state disk, etc. In some embodiments, the storage device 140 may be implemented on a cloud platform.

[0031] Network 150 may include any suitable network capable of facilitating information and / or data exchange. In some embodiments, at least one component of application scenario 100 (e.g., medical device 110, processing device 120, terminal device 130, storage device 140, imaging device 160) may exchange information and / or data with at least one other component in application scenario 100 via network 150. For example, processing device 120 may obtain the first image and / or the second image from imaging device 160 via network 150. As another example, processing device 120 may obtain a selection of one of the one or more scanning protocols from terminal device 130 via network 150.

[0032] Imaging device 160 may capture images related to a target object. The target object may be an object undergoing a medical scan. Images related to the target object may include the first image and / or the second image. Imaging device 160 may include one or more cameras. In some embodiments, imaging device 160 may be mounted on a mobile medical imaging device.

[0033] It should be noted that application scenario 100 is provided for illustrative purposes only and is not intended to limit the scope of this specification. Those of ordinary skill in the art can make various modifications or changes according to the description of this specification. For example, application scenario 100 may further include an input device and / or an output device. As another example, application scenario 100 may implement similar or different functions on other devices. However, these changes and modifications do not depart from the scope of this specification.

[0034] Figure 2 is a schematic diagram of the modules of an exemplary scanning system shown in some embodiments of this specification.

[0035] As Figure 2 shown, scanning system 200 may include an acquisition module 210, a scanning protocol determination module 220, and a scanning module 230. In some embodiments, scanning system 200 may be implemented by processing device 120. For example, acquisition module 210, scanning protocol determination module 220, and scanning module 230 may be modules in processing device 120.

[0036] Acquisition module 210 may be used to acquire the first image and the second image related to the target object. In some embodiments, the first image related to the target object may be an image including the scene information where the target object is located. The second image related to the target object may include the whole and / or part of the target object. The first image and / or the second image may be obtained from imaging device 160 or other imaging devices. For more descriptions on acquiring the first image and the second image, reference may be made to step 310, step 410, and step 430, which will not be elaborated herein.

[0037] The scanning protocol determination module 220 can be used to determine the scene where the target object is located based on the first image. The scanning protocol determination module 220 can be used to determine the part of the target object to be scanned based on the second image. The scanning protocol determination module 220 can be used to determine a scanning protocol related to the target object based on the scene and the part to be scanned, and the scanning protocol includes scanning parameters. The scanning protocol determination module 220 can be used to determine scanning coordinates related to the target object based on the scene and / or the scanning protocol. For more descriptions on determining the scanning protocol and scanning coordinates, etc., reference can be made to step 420, step 440, and step 450, which will not be elaborated here.

[0038] The scanning module 230 can be used to cause the scanning device to scan the target object based on the scanning protocol and the scanning coordinates. For more descriptions on causing the scanning device to scan the target object based on the scanning protocol and the scanning coordinates, reference can be made to step 330 and step 450, which will not be elaborated here. In some embodiments, the scanning system 200 may not include the scanning module 230.

[0039] It should be understood that Figure 2 The system and its modules shown can be implemented in various ways. For example, in some embodiments, the system and its modules can be implemented by hardware, software, or a combination of software and hardware.

[0040] It should be noted that the above descriptions of the system and its modules are only for convenience of description and are illustrative, and cannot limit this specification within the scope of the examples given. It can be understood that for those skilled in the art, after understanding the principle of the system, they may, without departing from this principle, make any combination of the various modules, or form a subsystem and connect it with other modules. For example, in some embodiments, Figure 2 The above modules disclosed may be different modules in a system, or a module may implement the functions of two or more of the above modules. For example, the various modules may share a storage module, or each module may have its own storage module respectively. Such variations are all within the protection scope of this specification.

[0041] Figure 3 is a schematic flowchart of an exemplary scanning process shown according to some embodiments of this specification. In some embodiments, one or more steps of process 300 can be performed by Figure 1 the processing device 120 in the application scenario 100 shown or Figure 2 the scanning system 200 shown. For example, process 300 can be executed by the modules within the scanning system 200. As Figure 3 shown, process 300 may include the following steps.

[0042] Step 310, a first image related to a target object can be obtained. In some embodiments, step 310 can be executed by the processing device 120 or the acquisition module 210.

[0043] In some embodiments, the target object can be an object waiting or preparing to be scanned by a medical device or a part of the object (e.g., an organ or a body part). The object can be a human, an animal, or an object (e.g., a phantom). In some embodiments, the first image related to the target object can be an image including the scene information where the target object is located. The scene information where the target object is located can be the information of the room where the target object is located. The first image can include at least one of the room name, the room scene, the internal identification of the room, the relevant instructions on the inner wall of the room, etc. The room name can include the name and / or room number of the examination room or various operating rooms, and can be located on the side or top of the room door. The room scene can include the objects in the room. For example, the shadowless lamp, monitoring instruments, etc. in the operating room. The room scene can also include the spatial layout in the room. The spatial layout can include the placement position of the hospital bed, the space and object positions around the hospital bed, the placement of other objects in the room, etc. The internal identification of the room can include the usage description or name of the room. The relevant instructions on the inner wall of the room can include the precautions in the room, and may include the type information of the room. The room where the target object is located can include examination rooms and various operating rooms. The examination rooms can include physical examination rooms and other specialized examination rooms. A physical examination room can be dedicated to examining a certain part (e.g., lung CT), and the same scanning protocol can be used for scanning and examination. A specialized examination room can be used to examine one or more parts of the affiliated specialty. For different types of target objects or disease types, different scanning protocols can be used for scanning and examination. The operating rooms can include hybrid operating rooms and exclusive operating rooms for each department. Exemplary types of operating rooms can include hybrid operating rooms, general surgery operating rooms, orthopedic operating rooms, obstetrics and gynecology operating rooms, male surgery operating rooms, cardiothoracic surgery operating rooms, urology operating rooms, burn surgery operating rooms, otolaryngology operating rooms, etc.

[0044] In some embodiments, the first image can be captured by the imaging device 160. In some embodiments, the imaging device 160 can be located on the mobile medical imaging device. The imaging device 160 can capture the first image before entering the room or after entering the room. After capturing the first image, the imaging device 160 can send it to the processing device 120. In some embodiments, the imaging device 160 can be located outside and / or inside the room. After the mobile medical imaging device is ready to enter the room or after entering the room, the imaging device 160 can send the first image it captured to the processing device 120. In some embodiments, the first image can be obtained by radar scanning.

[0045] Step 320, a scanning protocol may be determined based on the first image. In some embodiments, step 320 may be performed by the processing device 120 or the scanning protocol determination module 220.

[0046] The scanning protocol may include scanning parameters. Scanning parameters are various parameters for a medical imaging device to perform a scan. The medical imaging device may set and adjust each component according to the scanning parameters. Taking a CT scanner as an example, the scanning parameters may include a scanning mode, dose, depth, focus, gain, frame rate, tube voltage, effective tube current, etc. The scanning mode may include axial scanning and helical scanning. In some embodiments, a CT scanner may include hundreds of scanning protocols. Different body parts correspond to different scanning protocols. The same body part may include different scanning protocols. Exemplary scanning protocols may include a spinal axial scanning protocol, an abdominal helical scanning protocol, an inner ear high-resolution axial scanning protocol, etc. In some embodiments, after the scanning protocol is determined, a radiologic technologist or other medical staff may further set the scanning parameters in the scanning protocol.

[0047] In some embodiments, the processing device 120 may determine the scene where the target object is located based on the first image.

[0048] In some embodiments, the first image may include the name of the room where the target object is located, and the processing device 120 may identify the room name (e.g., a physical examination room or various operating rooms) or the room number. The room number and the room name may have a one-to-one correspondence. The processing device 120 may determine the room name and / or the room use according to the room number. In some embodiments, the first image may include the internal identification of the room where the target object is located and / or the relevant instructions on the inner wall of the room, and the processing device 120 may determine the room use and / or the room name according to the internal identification of the room and / or the relevant instructions on the inner wall of the room. In some embodiments, the processing device 120 may use optical character recognition (OCR) technology to identify the room name, room number, internal identification of the room, and / or relevant instructions. The processing device 120 may determine the scene where the target object is located (e.g., a physical examination room or various operating rooms) according to the room use and / or the room name.

[0049] In some embodiments, the first image may include the room scene of the room where the target object is located. The processing device 120 may use the first recognition model to determine the scene where the target object is located based on the first image. The room scene may include the devices or instruments inside the room. The processing device 120 may use the first recognition model to identify the devices or instruments inside the room and determine the scene where the target object is located according to the devices or instruments (e.g., a physical examination room or various operating rooms). In some embodiments, the devices or instruments may include the shadowless lamp, monitoring device, etc. of the operating room. The first recognition model may include a machine learning model, a template matching model, etc. In some embodiments, the processing device 120 may obtain the first recognition model from the storage device 140.

[0050] In some embodiments, the template matching model may pre-store one or more pictures of each or various rooms. The one or more pictures may correspond to one room or a type of room (e.g., a physical examination room or various operating rooms). The template matching model may obtain the first image and compare the first image with the one or more pictures of each or various rooms pre-stored. The template matching model may obtain multiple comparison results. In some embodiments, the comparison result may be the similarity between the first image and the one or more pictures. In some embodiments, the comparison result may be the similarity between the feature objects in the first image and the feature objects in the one or more pictures. The feature objects may include the shadowless lamp, monitoring device, etc. In some embodiments, the template matching model may determine the comparison result with the highest similarity from the multiple comparison results and use the room corresponding to the comparison result as the recognition result. In some embodiments, the template matching model may determine multiple comparison results with relatively high similarities from the multiple comparison results and send the multiple rooms corresponding to the multiple comparison results to the user, and the user may select one or a type of room as the final recognition result.

[0051] In some embodiments, the processing device 120 may use the machine learning model to identify devices or instruments inside a room and determine the scene where the target object is located based on the identified devices or instruments. The machine learning model may be a neural network model. The machine learning model may identify at least one item in the room in the first image based on the first image. The input of the machine learning model may be two-dimensional spatial data or three-dimensional spatial data, and the output may be a room type or a specific room. In some embodiments, the processing device 120 may input the first image into the machine learning model. The machine learning model may output a room type or a specific room. In some embodiments, the machine learning model may be obtained by training an initial model using first training samples. In some embodiments, the machine learning model may be obtained by a model training device through the following training process. The model training device may be a computer or other computer that executes process 300. The model training device may obtain an initial machine learning model. The model training device may obtain at least two first training samples. The first training samples may include a first image and a room label corresponding to the first image. The room label may be added or confirmed manually. The room label may be a room type or a specific room (such as a name or room number). The model training device may train the initial machine learning model based on the above at least two first training samples to obtain the above machine learning model.

[0052] In some embodiments, the processing device 120 may determine a scanning protocol based on the scene. In some embodiments, the scene where the target object is located may be a physical examination room. The physical examination room may correspond to fixed part scans (e.g., a lung scan room) and a fixed scanning protocol. The processing device 120 may directly determine the scanning protocol required to scan the target object in the physical examination room based on the scene. In some embodiments, the scene where the target object is located may be an operating room. Only one surgery may be scheduled in the operating room at the current time. The imaging technician may preset the scanning protocol in advance according to the surgery arrangement. The processing device 120 may directly use the preset scanning protocol as the scanning protocol required to scan the target object in the operating room.

[0053] In some embodiments, the processing device 120 may determine one or more scanning protocols based on the scene. The processing device 120 may send the one or more scanning protocols to a medical imaging technician or other medical staff to determine one of the scanning protocols.

[0054] In some embodiments, the processing device 120 may determine multiple scanning protocols based on the scene. The processing device 120 may also obtain a second image related to the target object. The processing device 120 may determine the final scanning protocol from the multiple scanning protocols according to the second image. For more descriptions on determining the scanning protocol according to the second image, please refer to Figure 4and Figure 5 , which will not be elaborated here.

[0055] In some embodiments, the processing device 120 may determine a user interface based on the first image. In some embodiments, when scanning a target object in an operating room, an intervention needle is needed to find the surgical positioning point, so the user interface needs a display tile related to the intervention needle. In some embodiments, the processing device 120 may determine the scene (e.g., an operating room) where the target object is located based on the first image. The processing device 120 may determine whether the user interface needs the above-mentioned display tile of the intervention needle based on this scene. The display tile related to the intervention needle is only an example, and the processing device 120 may also determine whether the user interface needs to display other tiles based on the first image. In some embodiments, a medical imaging technician or medical staff may set in advance whether a display interface for scanning in a certain room or on a scanning bed needs to display one or more specific tiles (e.g., an intervention needle tile), and the processing device 120 may display or not display the corresponding tile according to this preset after determining the room or the scanning bed.

[0056] In some embodiments, the processing device 120 may determine the coordinate system (also referred to as the scanning coordinate) for the medical imaging device to scan the target object based on the first image or scene information. In some embodiments, when the medical imaging device scans in different rooms or near different scanning beds, the relative position between the medical imaging device and the scanning bed is different. For example, the medical imaging device may be located on the left or right side of the scanning bed. In this case, the coordinate system corresponding to when the medical imaging device is located on the left side of the scanning bed is opposite to the coordinate system corresponding to when it is located on the right side of the scanning bed. When a traditional medical imaging device scans, it may be necessary to manually set the coordinate system according to the different relative positions between the medical imaging device and the scanning bed. In some embodiments of this specification, the processing device 120 may determine the relative position between the medical imaging device and the scanning bed based on the first image or scene information, and determine the coordinate system of the medical imaging device according to the above relative position without manual setting. In some embodiments, the coordinate systems corresponding to different rooms or different scanning beds may be stored in advance, for example, stored in the storage device 140. The processing device 120 may determine the coordinate system pre-stored in this scene based on the scene (e.g., a physical examination room or various operating rooms, or each scanning bed therein) where the target object is located.

[0057] In some embodiments, the processing device 120 may acquire a third image. The third image may include the surrounding scene, the whole and / or a part of the scanning bed. The third image may be captured by the imaging device 160. In some embodiments, the processing device 120 may confirm the relative position between the scanning bed and the medical imaging device according to the third image. The processing device 120 may determine the coordinate system for the medical imaging device to scan the target object based on the relative position between the scanning bed and the medical imaging device. In some embodiments, the processing device 120 may include the scene where the target object is located (such as various rooms, or each scanning bed therein). The processing device 120 may determine the coordinate system pre-stored in this scene based on the scene where the target object is located in the first image.

[0058] In some embodiments, the first image may include the relative position between the medical imaging device and the scanning bed, and the processing device 120 may determine the coordinate system for the medical imaging device to scan the target object based on the relative position between the medical imaging device and the scanning bed in the first image, so there is no need to acquire the third image anymore. In some embodiments, the first image may include the scene where the target object is located (such as various rooms, or each scanning bed therein), and the processing device 120 may determine the coordinate system pre-stored in this scene based on the scene where the target object is located in the first image, so there is no need to acquire the third image anymore. In some embodiments, the first image may not include the above information, and the processing device 120 cannot determine the coordinate system for the medical imaging device to scan the target object according to the first image. The processing device 120 needs to acquire the third image to determine the coordinate system for the medical imaging device to scan the target object. In some embodiments, the third image may be the same as the second image.

[0059] Step 330, the scanning device may scan the target object based on the scanning protocol. In some embodiments, step 330 may be executed by the processing device 120 or the scanning module 230.

[0060] In some embodiments, the processing device 120 may determine the respective parameters required for the respective components of the scanner when scanning the target object based on the scanning protocol. When scanning the target object, the respective components of the scanner may execute the scanning process according to the above respective parameters.

[0061] In some embodiments, after the processing device 120 determines the scanning protocol and before the scanning starts, a medical imaging technician or other medical staff can modify the scanning parameters in the scanning protocol. In some embodiments, the scanning parameters of the scanning protocol are set in advance by a medical imaging technician or other medical staff. After the processing device 120 determines the scanning protocol, the medical imaging technician or other medical staff may not need to modify the scanning parameters in the scanning protocol. In some embodiments, after a medical imaging technician or other medical staff determines the scanning parameters in the scanning protocol, they can click a confirmation button, a start scanning button, or other similar buttons or pedals to cause the scanner (also referred to as a scanning device) to start scanning a target object.

[0062] In some embodiments, after the scanner finishes scanning the target object, the processing device 120 can obtain the raw scanning data. The processing device 120 can preprocess the raw scanning data and use the preprocessed scanning data for image reconstruction.

[0063] It should be noted that the above description of process 300 is for illustration and example only, and does not limit the scope of application of this specification. For those skilled in the art, various modifications and changes can be made to process 300 under the guidance of this specification. However, these modifications and changes are still within the scope of this specification. For example, process 300 may not include step 330.

[0064] Figure 4 is a schematic flowchart of an exemplary determination of a scanning protocol according to some embodiments of this specification. In some embodiments, one or more steps of process 400 can be performed by Figure 1 the processing device 120 in the application scenario 100 shown or Figure 2 the scanning system 200 shown. For example, process 400 can be executed by the scanning protocol determination module 220 in the scanning system 200. As Figure 4 shown, process 400 may include the following steps.

[0065] Step 410, obtaining a first image related to the target object. In some embodiments, step 410 can be performed by the processing device 120 or the acquisition module 210.

[0066] In some embodiments, the first image may be captured by the imaging device 160. In some embodiments, the imaging device 160 may be located on the mobile medical imaging device. The imaging device 160 may capture the first image before entering the room or after entering the room. After capturing the first image, the imaging device 160 may send it to the processing device 120. In some embodiments, the imaging device 160 may be located outside and / or inside the room. After the mobile medical imaging device is ready to enter the room or after entering the room, the imaging device 160 may send the first image it captured to the processing device 120. For the description of obtaining the first image related to the target object, refer to step 310.

[0067] Step 420, based on the first image, determine the scene where the target object is located. In some embodiments, step 420 may be executed by the processing device 120 or the scan protocol determination module 220.

[0068] In some embodiments, the first image may include the name of the room where the target object is located, and the processing device 120 may identify the room name (e.g., physical examination room or various operating rooms) or room number. The room number and the room name have a one-to-one correspondence. The processing device may determine the room name and / or room use according to the room number. In some embodiments, the first image may include the internal identification of the room where the target object is located and / or the relevant instructions on the inner wall of the room. The processing device 120 may judge the room use and / or room name according to the internal identification of the room and / or the relevant instructions on the inner wall of the room. The processing device 120 may determine the scene where the target object is located (e.g., physical examination room or various operating rooms) according to the room use and / or room name.

[0069] In some embodiments, the first image may include the room scene of the room where the target object is located. The processing device 120 may use the first recognition model to determine the scene where the target object is located based on the first image. The room scene may include the equipment or instruments inside the room. The processing device 120 may use the first recognition model to identify the equipment or instruments inside the room and determine the scene where the target object is located according to the equipment or instruments (e.g., physical examination room or various operating rooms). In some embodiments, the equipment or instrument may include the shadowless lamp in the operating room, monitoring equipment, etc. In some embodiments, the room scene may further include the spatial layout in the room. The spatial layout may include the placement position of the hospital bed, the space and object positions around the hospital bed, the placement of other objects in the room, etc. The spatial layout may be used to determine the scan coordinates when scanning the target object. The first recognition model may include a machine learning model, a template matching model, etc. For the description of the machine learning model and the template matching model, refer to step 320. In some embodiments, the processing device 120 may obtain the first recognition model from the storage device 140.

[0070] Step 430, a second image related to the target object can be obtained. In some embodiments, step 430 can be executed by the processing device 120 or the scanning protocol determination module 220.

[0071] The second image related to the target object may include the whole and / or part of the target object. The second image may include the covered and uncovered parts of the target object by the surgical drape. The uncovered part may include markings, labels or intervention needles, which can be used for subsequent scanning and surgery. The scanning can be performed before, during and / or after the surgery. In some embodiments, the second image can be used to determine the specific part of the target object to be operated on or scanned. For example, the abdomen, head, chest, limbs, etc. In some embodiments, the processing device 120 can obtain the second image from the imaging device 160 or the storage device 140.

[0072] In some embodiments, one or more cameras of the imaging device 160 can be located in the room where the target object is located. One or more cameras of the imaging device 160 can be located on top of the operating table or near the operating table, and can capture the overall situation related to the operating table. For example, the whole and / or part of the target object can be captured. The one or more cameras can capture the second image related to the target object. The second image can be stored in the imaging device 160 or the storage device 140.

[0073] In some embodiments, the imaging device 160 can be located on a mobile medical imaging device. When the mobile medical imaging device moves next to the scanning bed (which can be an operating table or an examination bed), the imaging device 160 can capture the second image. The processing device 120 can obtain the second image from the imaging device 160. In some embodiments, the focal lengths of the imaging device 160 for capturing the first image, the second image and / or the third image can be preset in advance or adjusted according to the content included in the image.

[0074] In some embodiments, the scene where the target object is located (e.g., various operating rooms) may include one or more operating tables. In some embodiments, the operating table may be a scanning table. The processing device 120 may obtain the position of the operating table where the target object is located. In some embodiments, the mobile medical imaging device may navigate to the side of the scanning table where the target object is located. In some embodiments, the mobile medical imaging device may be manually moved to the side of the scanning table where the target object is located. In some embodiments, the scene where the target object is located may include multiple operating tables. In some embodiments, there is only one operating table with the target object among the multiple operating tables, and the mobile medical imaging device may move to that operating table. In some embodiments, there are at least two operating tables with the target object among the multiple operating tables, and the mobile medical imaging device may move to any one of the at least two operating tables. In some embodiments, there are at least two operating tables with the target object among the multiple operating tables, and the medical imaging technology or medical staff has preset a scanning order, and the mobile medical imaging device may sequentially move to one of the at least two operating tables according to the scanning order.

[0075] Step 440, based on the second image, the part of the target object to be scanned can be determined. In some embodiments, step 440 may be executed by the processing device 120 or the scanning protocol determination module 220.

[0076] In some embodiments, the processing device 120 may use a second recognition model to determine the part of the target object to be scanned based on the second image. The second recognition model may include a neural network model. The second recognition model may include a classifier. The input of the second recognition model may be the second image, and the output may be a specific part, such as the head, abdomen, chest, etc. In some embodiments, the processing device 120 may input the second image into the second recognition model. The second recognition model may output a specific part. In some embodiments, the second recognition model may be obtained by training an initial second recognition model using second training samples. In some embodiments, the second recognition model may be obtained by a model training device through the following training process. The model training device may be a computer or other computer that executes process 400. The model training device may obtain an initial second recognition model. The model training device may obtain at least two second training samples. The second training samples may include the second image and the part label corresponding to the second image. The part label may be a specific part name. The model training device may train the initial second recognition model based on the above at least two second training samples to obtain the second recognition model.

[0077] Step 450, based on the scene and the part to be scanned, the scanning protocol related to the target object can be determined. In some embodiments, step 450 may be executed by the processing device 120 or the scanning protocol determination module 220.

[0078] In some embodiments, the processing device 120 may determine one or more scanning protocols based on the above scenarios and the part to be scanned. In some embodiments, the processing device 120 may determine a scanning protocol related to the part to be scanned according to the determined part to be scanned above, and use this scanning protocol as the final scanning protocol. In some embodiments, the processing device 120 may determine multiple scanning protocols related to the part to be scanned according to the determined part to be scanned above. The processing device 120 may send the multiple scanning protocols related to the part to a medical imaging technician or other medical staff, and the medical imaging technician or other medical staff may determine a scanning protocol from the multiple scanning protocols. In some embodiments, the medical imaging technician or other medical staff may preset one or more scanning protocols required for the scenario where the target object is located. When only one scanning protocol is preset, the processing device 120 may directly use this preset scanning protocol as the final scanning protocol. When multiple scanning protocols are preset, the multiple scanning protocols may correspond to multiple parts, and the processing device 120 may determine a scanning protocol from the multiple scanning protocols as the final scanning protocol according to the determined part to be scanned above. In some embodiments, the medical imaging technician or other medical staff may preset corresponding scanning protocols for each operating table in advance. The processing device 120 may determine the corresponding scanning protocol according to the position or number of the operating table where the target object is located.

[0079] In some embodiments, the processing device 120 (or the scanning protocol determination module 220) may determine scanning coordinates related to the target object based at least on the scenario.

[0080] The processing device 120 may determine the coordinate system (also referred to as the scanning coordinates) for the medical imaging device to scan the target object based on the scenario where the target object is located (also referred to as the scenario information). In some embodiments, the processing device 120 may determine the relative position between the medical imaging device and the scanning bed based on the scenario, and determine the coordinate system of the medical imaging device according to the above relative position without manual setting. In some embodiments, the coordinate systems corresponding to different rooms or different scanning beds may be stored in advance, for example, stored in the storage device 140. The processing device 120 may determine the coordinate system pre-stored in the scenario based on the scenario where the target object is located (such as a physical examination room or various operating rooms, or each scanning bed therein).

[0081] In some embodiments, the first image may include the above-mentioned scene information. The processing device 120 may determine the coordinate system for the medical imaging device to scan the target object based on this scene information, without the need to obtain other images to confirm the coordinate system. In some embodiments, the first image may not include the above-mentioned scene information. The processing device 120 cannot determine the coordinate system for the medical imaging device to scan the target object based on the first image. The processing device 120 needs to obtain a third image to determine the coordinate system for the medical imaging device to scan the target object. The third image may include the above-mentioned scene information. In some embodiments, the third image may be the same as the second image.

[0082] In some embodiments, the processing device 120 may obtain a third image. The third image may include the surrounding scene, the whole, and / or a part of the examination table. The third image may be captured by the imaging device 160. In some embodiments, the processing device 120 may confirm the relative position between the examination table and the medical imaging device based on the third image. The processing device 120 may determine the coordinate system for the medical imaging device to scan the target object based on the relative position between the examination table and the medical imaging device. In some embodiments, the third image may include the scene where the target object is located (such as various rooms or each examination table therein). The processing device 120 may determine the pre-stored coordinate system in this scene based on the scene where the target object is located in the third image.

[0083] In some embodiments, the processing device 120 may determine the scan coordinates related to the target object according to the scan protocol. In some embodiments, the relative positions of the scanning device and the examination table are already fixed. Based on this, the processing device 120 may determine the scan direction and scan mode according to the scan protocol. The processing device 120 may determine the scan coordinates related to the target object according to the scan direction.

[0084] In some embodiments, the processing device 120 may determine the scan coordinates related to the target object based on the scene where the target object is located and the scan protocol. The processing device 120 may determine the scan direction and scan mode according to the scan protocol. The processing device 120 may determine or adjust the relative position between the scanning device and the examination table based on the scene. The processing device 120 may determine the scan coordinates related to the target object based on the scan direction and this relative position.

[0085] In some embodiments, the processing device 120 (or the scanning module 230) may cause the scanning device to scan the target object based on the scan protocol and the scan coordinates.

[0086] In some embodiments, the processing device 120 may determine the respective parameters required for the respective components of the scanning device when scanning the target object based on the scan protocol and the scan coordinates. When scanning the target object, the respective components of the scanning device may execute the scanning process according to the above-mentioned respective parameters.

[0087] In some embodiments, after the processing device 120 determines the scanning protocol and before the scanning starts, a medical imaging technician or other medical staff can modify the scanning parameters in the scanning protocol. In some embodiments, the scanning parameters of the scanning protocol are set in advance by a medical imaging technician or other medical staff. After the processing device 120 determines the scanning protocol, the medical imaging technician or other medical staff may not need to modify the scanning parameters in the scanning protocol. In some embodiments, after the medical imaging technician or other medical staff determines the scanning parameters in the scanning protocol, they can click a confirmation button, a start scanning button, or other similar buttons or pedals to cause the scanner (also referred to as a scanning device) to start scanning the target object.

[0088] In some embodiments, after the scanning device finishes scanning the target object, the processing device 120 can obtain the raw scanning data. The processing device 120 can preprocess the raw scanning data and use the preprocessed scanning data for image reconstruction.

[0089] It should be noted that the above description of process 400 is for illustration and example only and does not limit the scope of application of this specification. For those skilled in the art, various modifications and changes can be made to process 400 under the guidance of this specification. However, these modifications and changes are still within the scope of this specification.

[0090] Figure 5 is a schematic flow diagram of an exemplary determination of a scanning protocol according to some embodiments of this specification. In some embodiments, one or more steps of process 500 can be performed by Figure 1 the processing device 120 in the application scenario 100 shown in Figure 2 or the scanning system 200 shown in Figure 5 For example, process 500 can be executed by the scanning protocol determination module 220 within the scanning system 200. As

[0091] shown, process 500 may include the following steps.

[0092] Step 510, the scene where the target object is located and the part of the target object to be scanned can be determined. In some embodiments, step 510 can be performed by the processing device 120 or the scanning protocol determination module 220. For the description of determining the scene where the target object is located and the part of the target object to be scanned, reference can be made to steps 420 and 440, which will not be elaborated here.

[0093] In some embodiments, a medical imaging technician or other medical staff can preset one or more scanning protocols for the scene where the target object is located on the terminal device 130, or not preset in advance. The one or more preset scanning protocols can be stored in the storage device 140 or the terminal device 130. In some embodiments, the one or more preset scanning protocols can refer to one or more scanning protocols preselected by a medical imaging technician or other medical staff from a large number of scanning protocols existing in the system for one or more target objects. In some embodiments, one or more preset scanning protocols can include the setting or optimization of one or more parameters in the scanning protocol by a medical imaging technician or other medical staff, that is, the preset scanning parameters. The scanning protocol related to the target object in the one or more preset scanning protocols can be directly used to scan the target object. In some embodiments, one or more preset scanning protocols may not include the setting or optimization of one or more parameters in the scanning protocol by a medical imaging technician or other medical staff, but only one or more scanning protocols preselected from a large number of scanning protocols existing in the system for one or more target objects. In some embodiments, a medical imaging technician or other medical staff can adjust the scanning parameters in the preset scanning protocol according to the situation of the target object on site. In some embodiments, the medical imaging device can automatically or adaptively adjust the scanning parameters in the preset scanning protocol according to the situation of the target object on site. In some embodiments, the processing device 120 can retrieve the preset scanning protocols in the storage device 140 or the terminal device 130 to determine whether there are one or more preset scanning protocols associated with the scene where the target object is located.

[0094] Step 530, when it is determined that there are one or more preset scanning protocols associated with the scene, one can be selected from the one or more preset scanning protocols as the scanning protocol related to the target object based on the part of the target object to be scanned. In some embodiments, step 530 can be executed by the processing device 120 or the scanning protocol determination module 220.

[0095] In some embodiments, there is only one preset scanning protocol associated with the scene. For example, a physical examination room can use a fixed scanning protocol for scanning specific parts. For another example, only one operation can be arranged in an operating room during a period, and only one scanning protocol can be preset during this period. Still for another example, multiple operations can be arranged in an operating room during a period, and these multiple operations may be similar operations on the same part, and these multiple operations can correspond to the same preset scanning protocol. The processing device 120 can use this preset scanning protocol as the scanning protocol.

[0096] In some embodiments, there are multiple preset scanning protocols associated with the scene. The multiple preset scanning protocols may correspond to the same or different scanning parts. In some embodiments, the multiple preset scanning protocols correspond to the same scanning part, and the processing device 120 may send the multiple preset scanning protocols to the terminal device 130. A medical imaging technician or other medical staff may select one of the multiple preset scanning protocols as the scanning protocol of the target object at the terminal device 130. In some embodiments, the multiple preset scanning protocols all correspond to different scanning parts, and the processing device 120 may determine a preset scanning protocol from the multiple preset scanning protocols as the scanning protocol of the target object based on the part to be scanned of the target object. In some embodiments, some of the preset scanning protocols in the multiple preset scanning protocols correspond to the same scanning part, and some of the preset scanning protocols correspond to different scanning parts. When the part to be scanned of the target object corresponds to only one of the preset scanning protocols in the multiple preset scanning protocols, the processing device 120 may use the preset scanning protocol as the scanning protocol. When the part to be scanned corresponds to at least two preset scanning protocols in the multiple preset scanning protocols, the processing device 120 may send the at least two preset scanning protocols to the terminal device 130. A medical imaging technician or other medical staff may select one of the at least two preset scanning protocols as a scanning protocol for the target object on the terminal device 130 .

[0097] Step 540, when it is determined that there are not one or more preset scanning protocols associated with the scene, at least two scanning protocols associated with the part to be scanned of the target object can be determined. In some embodiments, step 540 can be performed by the processing device 120 or the scanning protocol determination module 220. As described above, the one or more preset scanning protocols associated with the scene can be one or more scanning protocols pre-selected by a medical imaging technician or other medical staff for one or more target objects from a large number of scanning protocols existing in the system. In some embodiments, when there are not one or more preset scanning protocols associated with the scene, the processing device 120 can determine at least two scanning protocols associated with the part to be scanned of the target object from a large number of scanning protocols existing in the system according to the part to be scanned of the target object. The large number of scanning protocols existing in the system can be built-in to the system itself, can be set at the factory, and can also be continuously updated.

[0098] In some embodiments, the processing device 120 may determine at least two scanning protocols associated with the portion to be scanned of the target object based on the portion to be scanned of the target object.

[0099] In step 550 , an instruction for selecting one of at least two scanning protocols may be obtained. In some embodiments, step 550 may be performed by the processing device 120 or the scanning protocol determination module 220 .

[0100] In some embodiments, the processing device 120 may send the at least two preset scanning protocols to the terminal device 130. A medical imaging technician or other medical staff may select one of the at least two preset scanning protocols as the scanning protocol for the target object on the terminal device 130. The processing device 120 may obtain the selection instruction from the terminal device 130.

[0101] Step 560, a scanning protocol related to the target object may be determined from the at least two scanning protocols according to the instruction. In some embodiments, step 560 may be executed by the processing device 120 or the scanning protocol determination module 220.

[0102] In some embodiments, the processing device 120 may use the preset scanning protocol selected by the user from the at least two preset scanning protocols as the scanning protocol related to the target object according to the above selection instruction.

[0103] In some embodiments, after determining the scanning protocol related to the target object, the scanning parameters in the scanning protocol need to be adjusted according to the target object. In some embodiments, a medical imaging technician may adjust at least one scanning parameter in the scanning protocol according to the actual situation of the target object on site. In some embodiments, when the medical imaging technician is not on site, the doctor may describe the actual situation of the target object to the medical imaging technician, such as through text, voice, image, and / or video, and the medical imaging technician may remotely adjust at least one scanning parameter in the scanning protocol. In some embodiments, when the medical imaging technician is not on site, the medical imaging technician may remotely obtain the situation of the target object, such as obtaining the situation of the target object through real-time video or image, and remotely adjust at least one scanning parameter in the scanning protocol.

[0104] The processing device 120 may receive the adjustment of the at least one scanning parameter and update the scanning protocol related to the target object. The updated scanning protocol is used to scan the target object.

[0105] It should be noted that the above description of the process 500 is only for illustration and explanation, and does not limit the scope of application of this specification. For those skilled in the art, various modifications and changes can be made to the process 500 under the guidance of this specification. However, these modifications and changes are still within the scope of this specification.

[0106] In some embodiments of this specification, a medical imaging device may determine one or several scanning protocols from a large number of scanning protocols according to the scenario to scan a target object. The beneficial effects that the embodiments of this specification may bring include, but are not limited to: (1) Since the medical imaging device can determine one or several scanning protocols from a large number of scanning protocols according to the scenario for the user to select or confirm, it avoids the user from searching for a specific scanning protocol among a large number of scanning protocols, enables the user to more conveniently find the specific scanning protocol, and saves time; (2) Since the medical imaging device can automatically determine the coordinate system and user interface according to the scenario where the target object is located and / or the scanning protocol, the user is spared from manually setting or switching the coordinate system and user interface, reducing the manual steps in the scanning process; (3) Since the medical imaging device can determine the part of the user to be scanned according to the second image and determine one or several scanning protocols according to the part to be scanned, it also avoids the user from searching for a specific scanning protocol among a large number of scanning protocols, enables the user to more conveniently find the specific scanning protocol, and saves time; (4) Since the medical imaging device can determine the preset scanning protocol corresponding to the scenario and / or the part to be scanned from the preset scanning protocol according to the preset scanning protocol and in combination with the scenario and / or the part to be scanned, it can very conveniently determine the scanning protocol related to the target object, reducing the time for the user to search for a specific scanning protocol.

[0107] The basic concepts have been described above. Obviously, for those skilled in the art, the above detailed disclosure is only an example and does not constitute a limitation to this specification. Although not explicitly stated here, those skilled in the art may make various modifications, improvements, and corrections to this specification. Such modifications, improvements, and corrections are suggested in this specification, so such modifications, improvements, and corrections still fall within the spirit and scope of the exemplary embodiments of this specification.

[0108] At the same time, this specification uses specific words to describe the embodiments of this specification. Such as "one embodiment", "an embodiment", and / or "some embodiments" mean a certain feature, structure, or characteristic related to at least one embodiment of this specification. Therefore, it should be emphasized and noted that the "one embodiment" or "an embodiment" or "an alternative embodiment" mentioned twice or more at different positions in this specification does not necessarily refer to the same embodiment. In addition, certain features, structures, or characteristics in one or more embodiments of this specification can be appropriately combined.

[0109] In addition, unless clearly stated in the claims, the order of the processing elements and sequences, the use of numerical and alphabetical characters, or the use of other names described in this specification are not used to limit the order of the processes and methods in this specification. Although some currently useful embodiments of the invention are discussed through various examples in the above disclosure, it should be understood that such details are for illustrative purposes only. The appended claims are not limited to the disclosed embodiments. On the contrary, the claims are intended to cover all modifications and equivalent combinations that conform to the essence and scope of the embodiments of this specification. For example, although the system components described above can be implemented by hardware devices, they can also be implemented only through software solutions, such as installing the described system on existing servers or mobile devices.

[0110] Similarly, it should be noted that, in order to simplify the presentation of the disclosure in this specification and thus help the understanding of one or more embodiments of the invention, in the previous description of the embodiments of this specification, sometimes multiple features are merged into one embodiment, drawing, or description thereof. However, this disclosure method does not mean that the features required by the subject matter of this specification are more than those mentioned in the claims. In fact, the features of the embodiments are fewer than all the features of the individual embodiments disclosed above.

[0111] In some embodiments, numbers are used to describe components and the quantity of attributes. It should be understood that such numbers used for the description of embodiments are modified by the modifiers "about", "approximate", or "substantially" in some examples. Unless otherwise stated, "about", "approximate", or "substantially" indicate that the stated number allows a variation of ±20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximate values, and such approximate values may change according to the characteristics required by individual embodiments. In some embodiments, the numerical parameters should consider the specified significant digits and adopt the method of retaining the general number of digits. Although the numerical ranges and parameters used in some embodiments of this specification to confirm the breadth of their scope are approximate values, in specific embodiments, the setting of such numerical values is as precise as possible within the feasible range.

[0112] For each patent, patent application, patent application publication, and other materials cited in this specification, such as articles, books, specifications, publications, documents, etc., their entire contents are hereby incorporated into this specification as references. Except for the application history documents that are inconsistent with or conflict with the content of this specification, and also except for the documents that limit the broadest scope of the claims of this specification (currently or subsequently appended to this specification). It should be noted that if there are inconsistencies or conflicts between the descriptions, definitions, and / or the use of terms in the supplementary materials of this specification and the content described in this specification, the descriptions, definitions, and / or the use of terms in this specification shall prevail.

[0113] Finally, it should be understood that the embodiments described in this specification are only used to illustrate the principles of the embodiments of this specification. Other variations may also fall within the scope of this specification. Therefore, by way of example and not limitation, alternative configurations of the embodiments of this specification may be regarded as consistent with the teachings of this specification. Accordingly, the embodiments of this specification are not limited to the embodiments explicitly presented and described in this specification.

Claims

1. A scanning method, executed by at least one processor, characterized in that, The method includes: Obtaining a first image related to a target object, where the first image includes scene information of the environment where the target object is located; Based on the first image, determining the scene where the target object is located; Obtaining a second image related to the target object; Based on the second image, determining the part of the target object to be scanned; and Based on the scene and the part to be scanned, determining a scanning protocol related to the target object, where the scanning protocol includes scanning parameters.

2. The method according to claim 1, characterized in that, The determining the scene where the target object is located based on the first image includes: Using a first recognition model to recognize the scene where the target object is located based on the first image.

3. The method according to claim 1, characterized in that The determining the scanning protocol related to the target object based on the scene and the part to be scanned includes: Judging whether there is one or more preset scanning protocols associated with the scene; When there is one or more preset scanning protocols associated with the scene: Selecting one from the one or more preset scanning protocols as the scanning protocol related to the target object based on the part of the target object to be scanned; When there is no one or more preset scanning protocols associated with the scene: Determining at least two scanning protocols associated with the part of the target object to be scanned; Obtaining an instruction for selecting one of the at least two scanning protocols; Determining the scanning protocol related to the target object from the at least two scanning protocols according to the instruction.

4. The method according to claim 3, characterized in that The one or more preset scanning protocols include pre-set scanning parameters, and the scanning protocol related to the target object among the one or more preset scanning protocols is directly used to scan the target object.

5. The method according to claim 3, wherein The scanning parameters in the scanning protocol related to the target object determined from the at least two scanning protocols need to be adjusted according to the target object.

6. The method according to claim 1, wherein The second image includes the whole of the target object and is used to determine the part of the target object to be scanned; and The determining the part of the target object to be scanned based on the second image includes: Using a second recognition model to recognize the part of the target object to be scanned based on the second image.

7. The method according to claim 1, characterized in that, The method further includes: Based on the scene and / or the scanning protocol, determining scanning coordinates related to the target object; and Based on the scanning protocol and the scanning coordinates, causing a scanning device to scan the target object.

8. A mobile CT scanning device, characterized in that, The mobile CT scanning device includes: A mobile device for moving the mobile CT scanning device; A gantry, where the gantry is connected to the mobile device; A scanning device located on the gantry for scanning a target object; A photographing device for photographing an image related to the target object; A control device for controlling the movement of the scanning device; and A processor, which when executed, implements the method according to any one of claims 1 to 7.

9. A scanning system, characterized in that, The system includes: An acquisition module for acquiring a first image and a second image related to a target object, where the first image includes scene information of the environment where the target object is located; and A scanning parameter determination module, configured to determine the scene where the target object is located based on the first image; determine the part of the target object to be scanned based on the second image; and determine a scanning protocol related to the target object based on the scene and the part to be scanned, where the scanning protocol includes scanning parameters.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions, which, when executed by a processor, implement the method according to any one of claims 1 to 7.

Images