X-ray imaging method and X-ray imaging device

Abstract

According to the X-ray imaging method and the X-ray imaging device, a radiation image of the chest is obtained, a first image with the same tissue structure as the radiation image is generated based on the radiation image of the chest, the fracture position of a rib in the first image and / or the position of one or more ribs with fractures in the first image are / is marked, and a marked image is obtained; displaying the radiation image and the marking image; therefore, a user can directly observe the fracture position of the rib through the displayed radiation image and the marked image, and the diagnosis efficiency and accuracy are greatly improved.

Description

Technical Field

[0001] This invention relates to the field of X-ray imaging, and more specifically to an X-ray imaging method and an X-ray imaging apparatus. Background Technology

[0002] X-ray imaging devices, such as digital flat-panel X-ray imaging devices, are devices that use X-rays to pass through the human body, be collected by an X-ray detector (such as a flat-panel detector), and processed by a device to reproduce X-ray images.

[0003] In some scenarios, the diagnosis of lesions using X-ray imaging devices is affected by a variety of factors. For example, in the diagnosis of rib fractures, firstly, the diagnostic results depend on the experience level of the radiologist and the limitations of X-ray imaging itself. Secondly, radiologists need to read a large number of chest X-ray images every day, and long working hours may lead to visual fatigue and distraction, thus affecting the accuracy of diagnosis. In addition, due to the large number of ribs, radiologists need to examine each rib during diagnosis. When it is difficult to clearly show minute fractures on a standard display, they need to magnify the display to see local details. This makes it impossible to see the whole picture of the chest X-ray image, further increasing the difficulty of locating the rib fracture. At the same time, due to the high similarity of ribs, miscounting of ribs often occurs, leading to misdiagnosis. Summary of the Invention

[0004] In view of the above problems, this application provides an X-ray imaging method and an X-ray imaging device, which are described in detail below.

[0005] According to a first aspect, one embodiment provides an X-ray imaging apparatus, comprising:

[0006] An X-ray source used to emit X-rays onto the chest of the person being examined;

[0007] A detector for receiving X-rays passing through the chest to obtain an X-ray signal; and,

[0008] Processor, used for:

[0009] Obtain a radiographic image of the chest based on the X-ray signal;

[0010] A first image is generated based on the radiographic image of the chest; the first image has the same tissue structure as the radiographic image.

[0011] The fracture locations of the ribs in the first image are marked, and / or at least the locations of one or more ribs with fractures in the first image are marked to obtain a marked image;

[0012] The radiographic image and the marked image are displayed.

[0013] In one embodiment, marking the fracture location of the rib in the first image includes:

[0014] The fracture location of the ribs in the first image is identified based on machine learning methods or image features of the first image, and the identified fracture location is marked.

[0015] And / or, in response to a user's first marking operation on the first image, mark the position in the first image corresponding to the first marking operation.

[0016] In one embodiment, marking the location of at least one or more ribs with fractures in the first image includes:

[0017] Based on machine learning methods or image features of the first image, at least the location of one or more ribs with fractures in the first image is identified, and the location of the identified ribs is marked.

[0018] And / or, in response to a user's second marking operation on the first image regarding the fracture location of a rib, mark one or more ribs in the first image corresponding to the second marking operation.

[0019] In one embodiment, marking the location of at least one or more ribs with fractures in the first image includes:

[0020] In the first image, at least one or more ribs with fractures are marked with serial numbers, letters or words to identify the ribs, or at least one or more ribs with fractures are marked with colors that can distinguish different ribs.

[0021] In one embodiment, marking the fracture location of the rib in the first image includes:

[0022] Add a symbol or text to the fracture location in the first image to indicate the fracture.

[0023] In one embodiment, the processor is further configured to:

[0024] The radiographic image and / or the marked image are transmitted to a first terminal that is communicatively connected to the X-ray imaging device for display on the first terminal.

[0025] In one embodiment, where the marked image includes fracture location markers, the processor is further configured to:

[0026] Based on the marked image, the fracture location markers in the marked image are analyzed and processed to obtain and display the fracture analysis results; the fracture analysis results include: the number of fractures counted and / or the fracture risk level.

[0027] According to a second aspect, one embodiment provides an X-ray imaging apparatus, comprising:

[0028] An X-ray source is used to emit X-rays onto the target area of ​​the person being examined.

[0029] A detector for receiving X-rays transmitted through the target region to obtain an X-ray signal; and,

[0030] Processor, used for:

[0031] Obtain a radiographic image of the target area based on the X-ray signal;

[0032] A first image is generated based on the radiographic image of the target region; the first image has the same tissue structure as the radiographic image.

[0033] The location of the lesion in the first image is marked to obtain a marked image;

[0034] The radiographic image and the marked image are displayed.

[0035] In one embodiment, the lesion includes one or more of the following: rib fracture, vertebral compression fracture, clavicle fracture, and limb fracture; and / or, the lesion further includes: pneumonia lesion tissue and / or pneumothorax lesion tissue.

[0036] In one embodiment, marking the location of the lesion in the first image includes:

[0037] The location of lesions in the first image is automatically identified based on machine learning methods or image features of the first image, and the identified lesion locations are marked.

[0038] And / or, in response to a user's third marking operation on the first image, mark the position in the first image corresponding to the third marking operation.

[0039] In one embodiment, the processor is further configured to:

[0040] Based on the marked image, the location markers of lesions in the marked image are analyzed and processed to obtain and display the lesion analysis results.

[0041] According to a third aspect, one embodiment provides an X-ray imaging method, comprising:

[0042] Obtain radiographic images of the subject's chest;

[0043] A first image is generated based on the radiographic image of the chest; the first image has the same tissue structure as the radiographic image.

[0044] The fracture locations of the ribs in the first image are marked, and / or at least the locations of one or more ribs with fractures in the first image are marked to obtain a marked image;

[0045] The radiographic image and the marked image are displayed.

[0046] According to a fourth aspect, one embodiment provides an X-ray imaging method, comprising:

[0047] Acquire radiographic images of the target region of the subject;

[0048] A first image is generated based on the radiographic image of the target region; the first image has the same tissue structure as the radiographic image.

[0049] The location of the lesion in the first image is marked to obtain a marked image;

[0050] The radiographic image and the marked image are displayed.

[0051] According to the X-ray imaging method and X-ray imaging device of the above embodiments, a radiographic image of the chest is acquired, a first image with the same tissue structure as the radiographic image is generated based on the radiographic image of the chest, and the fracture locations of the ribs in the first image and / or the locations of one or more ribs with fractures in the first image are marked to obtain a marked image, and the radiographic image and the marked image are displayed; thereby, the user can directly observe the fracture location of the ribs through the displayed radiographic image and the marked image, which greatly improves the diagnostic efficiency and accuracy. Attached Figure Description

[0052] Figure 1 This is a schematic diagram of the structure of an X-ray imaging device according to one embodiment;

[0053] Figure 2 This is a schematic diagram of the structure of an X-ray source according to one embodiment;

[0054] Figure 3 This is a schematic diagram of the structure of an X-ray imaging device according to another embodiment;

[0055] Figure 4 This is a schematic diagram of the detector structure according to one embodiment;

[0056] Figure 5 This is a flowchart of an X-ray imaging method according to one embodiment;

[0057] Figure 6A schematic diagram showing the fractures and the markings of the fractured ribs in the first image;

[0058] Figure 7 (a) is a schematic diagram showing the location of the rib fracture marked with boxes in the first image. Figure 7 (b) is a schematic diagram showing the location of the rib fracture marked with arrows in the first image. Figure 7 (c) is a schematic diagram showing the fracture locations of the ribs in the first image marked with crosses. Figure 7 (d) is a schematic diagram showing the text markings of the fracture locations of the ribs in the first image;

[0059] Figure 8 (a) is a diagram showing how rib numbers are marked at the ribs using letters and numbers. Figure 8 (b) is a diagram showing how rib numbers are marked at the ribs using a combination of text and numbers. Figure 8 (c) is a schematic diagram showing the different colors used to mark different ribs. Figure 8 (d) is a schematic diagram in which only the ribs with fractures are marked with color;

[0060] Figure 9 (a) is a schematic diagram of an example of marking the fracture location of a rib and the rib with the fracture location. Figure 9 (b) is a schematic diagram of another example of marking the fracture location of a rib and the rib with the fracture location. Figure 9 (c) is a schematic diagram of another example of marking the fracture location of a rib and the ribs with fracture locations. Figure 9 (d) is a schematic diagram that only marks the ribs with fractures;

[0061] Figure 10 This is a flowchart of an X-ray imaging method according to another embodiment;

[0062] Figure 11 (a) is a schematic diagram showing the fracture analysis results in the labeled image. Figure 11 (b) is a schematic diagram showing the fracture analysis results next to the labeled image;

[0063] Figure 12 Flowchart of another embodiment of the X-ray imaging method;

[0064] Figure 13 Flowchart of an X-ray imaging method according to another embodiment. Detailed Implementation

[0065] The present invention will now be described in further detail with reference to specific embodiments and accompanying drawings. Similar elements in different embodiments are referred to by associated similar element reference numerals. In the following embodiments, many details are described to facilitate a better understanding of this application. However, those skilled in the art will readily recognize that some features may be omitted in different situations, or may be replaced by other elements, materials, or methods. In some cases, certain operations related to this application are not shown or described in the specification. This is to avoid obscuring the core parts of this application with excessive description. For those skilled in the art, detailed description of these related operations is not necessary; they can fully understand the related operations based on the description in the specification and general technical knowledge in the art.

[0066] Furthermore, the features, operations, or characteristics described in the specification can be combined in any suitable manner to form various embodiments. At the same time, the steps or actions in the method description can be rearranged or adjusted in a manner obvious to those skilled in the art. Therefore, the various orders in the specification and drawings are only for the clear description of a particular embodiment and do not imply a necessary order, unless otherwise stated that a particular order must be followed.

[0067] The serial numbers assigned to components in this document, such as "first" and "second," are used only to distinguish the described objects and have no sequential or technical meaning. The terms "connection" and "linkage" used in this application, unless otherwise specified, include both direct and indirect connections (linkages).

[0068] Please refer to Figure 1 In some embodiments, the X-ray imaging device 01 includes an X-ray source 10, a detector 20, and a processor 30; in some embodiments, the X-ray imaging device 01 may also include a driving component 40, and in some embodiments, the X-ray imaging device 01 may also include a display component 50, as described in detail below.

[0069] X-ray source 10 is used to emit X-rays onto the subject to be photographed. In some embodiments, in use, X-ray source 10 is positioned opposite detector 20. Please refer to... Figure 2 In one embodiment, the X-ray source 10 may include a high-voltage generator 11 and an X-ray tube 13. The high-voltage generator 11 is used to provide a voltage, such as a kilovolt-level high voltage, to the X-ray tube 13. The X-ray tube 13 is used to bombard the target surface with electrons under the voltage provided by the high-voltage generator 11 to generate rays, such as X-rays.

[0070] In some embodiments, please refer to Figure 3The X-ray source 10 is equipped with an X-ray beam limiter 15. The X-ray beam limiter 15 is used to determine or simulate the projection area of ​​the X-ray source 10. The area irradiated by the X-ray beam limiter 15 can be called the irradiation field.

[0071] Detector 20 is used to receive X-rays passing through the body being imaged. Detector 20 is the core component of the X-ray imaging device 01 and plays a decisive role in image quality. Detector 20 receives the X-rays and ultimately converts them into electrical signals to complete image information acquisition. Please refer to... Figure 4 In one embodiment, the detector 20 includes a radiation conversion layer 21 and a TFT matrix layer 23. The radiation conversion layer 21 is used to convert radiation into visible light; the radiation conversion layer 21 generally includes a scintillation layer or a phosphor layer for converting radiation into visible light. Taking the scintillation layer as an example, it can generally be made of a scintillation material, typically, for example, cesium iodide (CsI) or gadolinium oxysulfide (GOS). The TFT matrix layer 23 is used to sense the visible light converted by the radiation conversion layer 21 and convert the visible light into an electrical signal for image information acquisition.

[0072] In some embodiments, detector 20 may be a flat panel detector.

[0073] As can be seen, detector 20 is the X-ray receiving device in X-ray imaging device 01. X-ray source 10 generates and outputs X-rays. The X-rays generated by X-ray source 10 pass through the subject's body position and are attenuated. The attenuated X-rays can be received by detector 20. Detector 20 receives the X-rays that have passed through the subject's body position to perform imaging. Specifically, it converts the X-rays into visible light and then converts the visible light into an electrical signal.

[0074] In some embodiments, the drive component 40 is used to drive the X-ray source 10 to move.

[0075] In some embodiments, the drive component 40 is used to drive the detector 20 to move.

[0076] In some embodiments, the drive component 40 is used to drive the X-ray source 10 and the detector 20 to move, for example, to drive them to move synchronously.

[0077] Display component 50 is used for displaying, for example, intermediate or final imaging results, or user interface, as will be further explained below.

[0078] The above is some information about the X-ray imaging device 01.

[0079] In some embodiments, an X-ray imaging method is disclosed, wherein the processor 30 is used to perform one, several, or all of the steps of the X-ray imaging method.

[0080] Please refer to Figure 5 Some embodiments of the X-ray imaging method include the following steps:

[0081] Step 101: Acquire a radiographic image of the chest. In one embodiment, the subject is positioned at the chest. X-ray source 10 emits X-rays into the chest of the subject, detector 20 receives the X-rays passing through the chest, converts the X-rays into a raw radiographic image, and transmits the raw radiographic image to processor 30. Processor 30 performs image processing on the raw radiographic image to obtain a radiographic image of the chest. The image processing performed on the raw radiographic image may include: contrast adjustment, noise filtering, grayscale distribution adjustment, cropping, etc.

[0082] From a user's perspective, in some embodiments, the display component 50 displays possible camera positions on the interface. These positions include chest positions or lower limb positions. In response to the user's selection of a camera position, the processor 30 determines imaging parameters, which at least include a target travel point. In response to the imaging command, the processor 30 controls the X-ray source 10 to move to the target travel point and, based on the imaging parameters, takes an image of the subject's chest to obtain a radiographic image of the chest.

[0083] Step 102: Generate a first image based on the chest radiograph. The first image has the same tissue structure as the radiograph. Since the radiograph is used for printing film, it cannot be marked or processed. In this embodiment, a first image for marking is obtained by copying the radiograph; this first image has the same tissue structure as the radiograph.

[0084] Step 103: Mark the fracture locations of the ribs in the first image, and / or mark the locations of at least one or more ribs with fractures in the first image to obtain a marked image.

[0085] A rib fracture refers to the breakage of one or more ribs, mainly manifested as a discontinuity within the same rib or a significant displacement between ribs. In the first image, the location of the rib fracture is marked by indicating the area of ​​discontinuity, such as rib displacement or cortical discontinuity. The location of the fractured rib is marked by indicating which rib in the body the fractured rib belongs to. The human body has 24 ribs, 12 on the left and 12 on the right. The left ribs are numbered L1-L12, and the right ribs are numbered R1-R12. For example... Figure 6 As shown, the area where the fracture is located is marked in the first image, and the rib currently fractured is marked. The serial number of the rib currently fractured is L6.

[0086] When marking rib fractures, in one embodiment, the fracture location of the rib in the first image can be directly marked to directly remind the user of the fracture location. However, since there are many ribs in the human body, marking only the fracture location still requires the user to confirm which rib(s) is fractured. To address this, in other embodiments, one or more ribs with fractures can be marked to remind the user of the fractured ribs. The user can observe the specific fracture location through the marked ribs. In other embodiments, to better provide a prompt, the fracture location of the ribs can be marked in the first image, while one or more ribs with fractures can also be marked, so that the user can clearly identify the fracture location and the rib(s) where the fracture is located through the obtained marked image.

[0087] The fracture location markings of the ribs in the first image and the location markings of one or more ribs with fractures will be explained below.

[0088] (1) Some explanations regarding the marking of the fracture locations of the ribs in the first image.

[0089] In some embodiments, marking the fracture location of the rib in the first image in step 102 includes: automatically identifying the fracture location of the rib in the first image and marking the identified fracture location. Wherein:

[0090] For example, a machine learning-based method can be used to identify the fracture location of the ribs in the first image. Specifically, by learning the features or patterns of the target region and non-target region from a pre-built database, the target region refers to the discontinuous area of ​​the ribs. Then, based on the learned features or patterns, the target region in the first image is located and identified, thereby identifying the fracture location of the ribs in the first image.

[0091] For example, the fracture location of the ribs in the first image can be identified based on the image features of the first image. Specifically, existing feature extraction methods are used to extract features related to rib fractures in the first image. These features may include, for example, the shape, texture, orientation, and angle of the ribs. The fracture location of the ribs in the first image is located based on one or more of these features to complete the identification of the fracture location of the ribs in the first image.

[0092] In other embodiments, marking the fracture locations of the ribs in the first image in step 102 includes: identifying the fracture locations of the ribs in the first image, marking the identified fracture locations, and then, in response to a user's first marking operation on the first image, marking the locations in the first image corresponding to the first marking operation. That is, based on the automatically identified fracture location marking results, manual correction or improvement is then performed. For example, after the above automatic identification, multiple fracture locations are marked in the first image. The technician can confirm the pain area through the patient's instructions, compare the pain area with the marked fracture locations, and then the technician inputs a first marking operation on the first image through an input device such as a mouse or keyboard. The processor 30 responds to the first marking operation to at least partially remove or add some markings to the multiple automatically identified and marked fracture locations to improve the accuracy of diagnosis. The automatic identification of the fracture locations of the ribs in the first image and the marking of the identified fracture locations can be referred to the description of the embodiments above; in addition, the first marking operation input by the user on the first image can be a direct marking of one or more areas in the first image, or it can be deleting one or more marked areas in the first image.

[0093] In some embodiments, marking the fracture location of the rib in the first image in step 102 includes: in response to a user's first marking operation on the first image, marking the location in the first image corresponding to the first marking operation. That is, the technician locates the fracture location based on experience and inputs the first marking operation on the first image through an input device such as a mouse or keyboard to manually mark the fracture location.

[0094] The marking of the rib fracture location in the first image can be a marking of the area where the fracture location is located. This involves adding symbols such as boxes, arrows, or crosses to the area where the fracture location is located in the first image to indicate the fracture. Figure 7 Images (a), (b), and (c) show the use of boxes, arrows, and crosses to mark fracture locations, respectively. Alternatively, the fracture location of the ribs in the first image can be marked by adding text such as "fracture" to the area where the fracture location is located in the first image. Figure 7 As shown in (d).

[0095] (2) Some explanations regarding the marking of at least one or more fractured ribs in the first image. It should be noted that the marked ribs are at least fractured ribs. In some cases, for ease of observation, some non-fractured ribs may also be marked. For example, if the fractured rib is on the left, all ribs on the left may be marked. Or, for example, the ribs next to the fractured rib may be marked. Or, for example, all ribs may be marked.

[0096] In some embodiments, marking the location of one or more fractured ribs in the first image in step 102 includes: automatically identifying the location of at least one or more fractured ribs in the first image and marking the location of the identified ribs. In one embodiment, the location of the fractured ribs may be marked, the location of all ribs may be marked, or the location of some ribs (including the fractured ribs) may be marked.

[0097] For example, machine learning-based methods can be used to identify the location of one or more fractured ribs in the first image. Specifically, by learning the features or patterns of a pre-built database that can distinguish between target and non-target regions, the target region can be the region corresponding to the 24 ribs or the rib region corresponding to a discontinuous rib region. Then, based on the learned features or patterns, the target region in the first image is located and identified, thus identifying the location of at least one or more fractured ribs.

[0098] For example, the location of one or more fractured ribs in the first image can be identified based on the image features of the first image. Specifically, existing feature extraction methods are used to extract features related to rib fractures in the first image. These features can include, for example, the shape, texture, edge, and contour of the ribs. The location of one or more fractured ribs in the first image is located based on one or more of these features to complete the identification of the location of one or more fractured ribs in the first image.

[0099] In other embodiments, marking the location of one or more fractured ribs in the first image in step 102 includes: identifying at least the location of one or more fractured ribs in the first image, marking the identified rib locations, and then, in response to a user's second marking operation on the first image, marking the one or more ribs in the first image corresponding to the second marking operation. That is, based on the automatically identified rib marking results, manual correction or improvement is then performed. For example, after multiple ribs are marked in the first image following the above automatic identification, if the technician finds that the automatically marked rib locations are incorrect, such as marking L7 (the 7th rib on the left) as L8 (the 8th rib on the left), or that some fractured ribs are not marked, the technician can then input the fracture location of the ribs into the first image via an input device such as a mouse or keyboard, and the processor 30 responds to the second marking operation to modify, delete, or add automatically identified marked ribs to improve the accuracy of diagnosis. The method of automatically identifying the location of at least one or more fractured ribs in the first image and marking the identified ribs can be referred to the description of the above embodiments.

[0100] In some embodiments, marking the location of one or more fractured ribs in the first image in step 102 includes: in response to a user's second marking operation on the first image regarding the fracture location of the ribs, marking one or more ribs in the first image corresponding to the second marking operation. That is, the technician manually marks the ribs based on experience.

[0101] The marking of the location of at least one or more fractured ribs in the first image can be achieved by adding a serial number, letter, or text to identify the rib at least one or more fractured ribs in the first image, such as... Figure 8 As shown in (a), the ribs are numbered using a combination of letters and numbers, as follows: Figure 8 As shown in (b), the ribs are numbered using a combination of text and numbers, or at least one or more ribs with fractures are highlighted in the first image with colors that distinguish them from the others, such as... Figure 8 As shown in (c), different colors are added to different ribs, and the rib numbers corresponding to different colors are displayed next to the first image, such as... Figure 8 As shown in (d), only the ribs with fractures are colored to distinguish them from the other ribs.

[0102] In addition to marking the fracture location and at least the ribs with fractures separately as described above, embodiments of the present invention can also mark the fracture location and at least the ribs with fractures simultaneously, such as... Figure 9 As shown in (a), the fracture location of the rib is marked with a box, and the ribs on the same side containing the fractured rib are numbered, as shown in (a). Figure 9 As shown in (b), text indicating a fractured rib (fracture: left 6) and the location and number of fractures (posterior segment, 1) are added to the blank space in the first image. Figure 9 As shown in (c), the fracture locations of the ribs are marked with boxes, and the ribs with fractures are numbered. Figure 9 As shown in (d), you can also add color only to the ribs with fractures. Although this method looks like only the ribs are marked, it can also be understood as marking the fracture area.

[0103] Step 104: Display the radiographic image and the marked image in the display unit 50. After marking the fracture locations of the ribs in the first image and / or at least the locations of one or more ribs with fractures in the first image in the manner described above, a marked image is obtained, and the radiographic image and the marked image are simultaneously displayed in the display unit 50.

[0104] Please refer to Figure 10In some embodiments, where the marked image includes fracture location markers, the X-ray imaging method provided in this embodiment further includes: Step 105: Based on the marked image, analyze and process the fracture location markers in the marked image to obtain and display the fracture analysis results. After obtaining the marked image, the fracture location markers in the marked image can be analyzed and processed, for example, by counting the number of fractures and indicating mild, moderate, and severe based on the number of fractures. For example, if the number of fractures is less than 3, it indicates mild; if the number of fractures is greater than or equal to 3 but less than 5, it indicates moderate; and if the number of fractures is greater than or equal to 5, it indicates severe. The fracture analysis results include: the counted number of fractures and / or the fracture risk level. Figure 11 As shown in (a), the fracture analysis results can be displayed in the labeled image. In addition to showing the fracture markers and location markers of the ribs, the labeled image also displays the fracture analysis results, namely the number of fractures counted as "7" and the severity as "critical"; or, as shown in (a)... Figure 11 As shown in (b), the fracture analysis results can be displayed next to the marked image. The fracture marks of the ribs are displayed in the marked image, and the fracture results are displayed next to the marked image. The fracture results include the rib location of each fracture and the specific segment of the rib where the fracture is located. The fracture results also include the fracture analysis results, namely, displaying the number of fractures "Number: 7" and the severity "Severity: Severe".

[0105] The display of the aforementioned radiographic and marker images takes place on the screen of the workstation where the technician working with the X-ray imaging device is located. The technician can view the displayed radiographic and marker images on the workstation screen and then, as needed, transmit the radiographic and / or marker images to the primary terminal operated by the doctor for diagnosis. Please refer to [link / reference needed]. Figure 12 In some embodiments, the X-ray imaging method may further include: Step 106: transmitting the radiographic image and / or marked image to a first terminal communicatively connected to the X-ray imaging device for display on the first terminal operated by a physician. It should be noted that a first image generated separately based on the radiographic image, after being automatically identified and / or manually edited and marked locally, is fused with the marked data and the first image into a single entity, i.e., a marked image. This radiographic image and / or marked image can be transmitted to a remote physician, and the radiographic image and marked image do not affect each other. For example, the radiographic image can be directly used by the local technician / remote physician to print films, while the marked image can be used to provide auxiliary information, facilitating the local technician / remote physician to quickly obtain information about fractures.

[0106] Please refer to Figure 13 In some embodiments, an X-ray imaging method is also provided, comprising the following steps:

[0107] Step 201: Acquire a radiographic image of the target area. In one embodiment, similar to the radiographic image of the chest, acquiring a radiographic image of the target area requires first determining the body position to be photographed based on the target area, and then taking a photograph based on the body position to acquire a radiographic image of the target area.

[0108] Step 202: Generate a first image based on the radiographic image of the target region. The first image has the same tissue structure as the radiographic image. In this embodiment, the first image for labeling is obtained by copying the radiographic image; this first image has the same tissue structure as the radiographic image.

[0109] Step 203: Mark the location of the lesion in the first image to obtain a marked image.

[0110] In some embodiments, the lesion includes fracture lesions, such as one or more of a rib fracture, a vertebral compression fracture, a clavicle fracture, and a limb fracture. In other embodiments, the lesion also includes lesions of diseases such as pneumonia lesions and / or pneumothorax lesions.

[0111] Similar to marking the location of rib fractures, marking the location of lesions in this embodiment may include: automatically identifying the location of the lesion in the first image and marking it at the identified lesion location; or, first automatically identifying the location of the lesion in the first image and marking it at the identified lesion location, and then, in response to a user's third marking operation on the first image, marking the location in the first image corresponding to the third marking operation; or, in response to a user's third marking operation on the first image, marking the location in the first image corresponding to the third marking operation. The above-described marking of the lesion location in the first image is the same as the method for marking the location of rib fractures in the above embodiments. The only difference lies in the different selection method of the target region when using machine learning methods to identify the lesion location, and the different features extracted when using the image feature method based on the first image to identify the lesion location. For specific implementation details, please refer to the description in the above embodiments.

[0112] Step 204: Display the radiographic image and the labeled image.

[0113] In addition, in some embodiments, the X-ray imaging method further includes one or all of the following steps:

[0114] Step 205: Based on the labeled image, analyze and process the lesion location markers in the labeled image to obtain and display the lesion analysis results. The analysis and processing of the lesion location markers may include statistical analysis of the number of lesions and analysis of the severity of the lesions.

[0115] Step 206: Transmit the radiographic image and / or the marked image to a first terminal on the physician's side that is communicatively connected to the X-ray imaging device for display on the first terminal to facilitate diagnosis by the physician.

[0116] Those skilled in the art will understand that all or part of the functions of the various methods in the above embodiments can be implemented by hardware or by computer programs. When all or part of the functions in the above embodiments are implemented by computer programs, the program can be stored in a computer-readable storage medium, which may include: read-only memory, random access memory, disk, optical disk, hard disk, etc., and the program is executed by a computer to achieve the above functions. For example, the program can be stored in the memory of a device, and when the program in the memory is executed by the processor, all or part of the above functions can be achieved. In addition, when all or part of the functions in the above embodiments are implemented by computer programs, the program can also be stored in a server, another computer, disk, optical disk, flash drive, or external hard drive, etc., and can be downloaded or copied to the memory of a local device, or the system of the local device can be updated. When the program in the memory is executed by the processor, all or part of the functions in the above embodiments can be achieved.

[0117] The above examples illustrate the present invention only to aid in understanding it and are not intended to limit the scope of the invention. Those skilled in the art can make various simple deductions, modifications, or substitutions based on the principles of this invention.

Claims

1. An X-ray imaging device, characterized in that, include: An X-ray source used to emit X-rays onto the chest of the person being examined; A detector is used to receive X-rays that pass through the chest and obtain X-ray signals; as well as, Processor, used for: Obtain a radiographic image of the chest based on the X-ray signal; A first image is generated based on the radiographic image of the chest; the first image has the same tissue structure as the radiographic image. The fracture locations of the ribs in the first image are marked, and / or at least the locations of one or more ribs with fractures in the first image are marked to obtain a marked image; The radiographic image and the marked image are displayed.

2. The apparatus as claimed in claim 1, characterized in that, Marking the fracture location of the ribs in the first image includes: The fracture location of the ribs in the first image is identified based on machine learning methods or image features of the first image, and the identified fracture location is marked. And / or, in response to a user's first marking operation on the first image, mark the position in the first image corresponding to the first marking operation.

3. The apparatus as described in claim 1, characterized in that, Marking the location of at least one or more ribs with fractures in the first image includes: Based on machine learning methods or image features of the first image, at least the location of one or more ribs with fractures in the first image is identified, and the location of the identified ribs is marked. And / or, in response to a user's second marking operation on the first image regarding the fracture location of a rib, mark one or more ribs in the first image corresponding to the second marking operation.

4. The apparatus as claimed in claim 1, characterized in that, Marking the location of at least one or more ribs with fractures in the first image includes: In the first image, at least one or more ribs with fractures are marked with serial numbers, letters or words to identify the ribs, or at least one or more ribs with fractures are marked with colors that can distinguish different ribs.

5. The apparatus as claimed in claim 1, characterized in that, Marking the fracture location of the ribs in the first image includes: Add a symbol or text to the fracture location in the first image to indicate the fracture.

6. The apparatus as claimed in any one of claims 1 to 5, characterized in that, The processor is also used for: The radiographic image and / or labeled image are transmitted to a first terminal that is communicatively connected to the X-ray imaging device for display on the first terminal.

7. The apparatus according to any one of claims 1 to 5, characterized in that, If the marked image includes fracture location markers, the processor is further configured to: Based on the marked image, the fracture location markers in the marked image are analyzed and processed to obtain and display the fracture analysis results; The fracture analysis results include: the number of fractures counted and / or the fracture risk level.

8. An X-ray imaging device, characterized in that, include: An X-ray source is used to emit X-rays onto the target area of ​​the person being examined. A detector is used to receive X-rays that pass through the target area and obtain X-ray signals; as well as, Processor, used for: Obtain a radiographic image of the target area based on the X-ray signal; A first image is generated based on the radiographic image of the target region; The first image has the same tissue structure as the radiographic image; The location of the lesion in the first image is marked to obtain a marked image; The radiographic image and the marked image are displayed.

9. The apparatus as claimed in claim 8, characterized in that, The lesions include one or more of the following: rib fractures, vertebral compression fractures, clavicle fractures, and limb fractures; and / or, the lesions also include: pneumonia lesion tissue and / or pneumothorax lesion tissue.

10. The apparatus as claimed in claim 8 or 9, characterized in that, The step of marking the location of the lesion in the first image includes: The location of lesions in the first image is automatically identified based on machine learning methods or image features of the first image, and the identified lesion locations are marked. And / or, in response to a user's third marking operation on the first image, mark the position in the first image corresponding to the third marking operation.

11. The apparatus as claimed in claim 8 or 9, characterized in that, The processor is also used for: Based on the marked image, the location markers of lesions in the marked image are analyzed and processed to obtain and display the lesion analysis results.

12. An X-ray imaging method, characterized in that, include: Obtain radiographic images of the subject's chest; A first image is generated based on the radiographic image of the chest; The first image has the same tissue structure as the radiographic image; The fracture locations of the ribs in the first image are marked, and / or at least the locations of one or more ribs with fractures in the first image are marked to obtain a marked image; The radiographic image and the marked image are displayed.

13. An X-ray imaging method, characterized in that, include: Acquire radiographic images of the target region of the subject; A first image is generated based on the radiographic image of the target region; The first image has the same tissue structure as the radiographic image; The location of the lesion in the first image is marked to obtain a marked image; The radiographic image and the marked image are displayed.

Images