X-ray image acquisition method, system, x-ray device, and storage medium

Abstract

The embodiment of the present application discloses an X-ray image acquisition method, system, X-ray machine and storage medium. The method comprises the following steps: acquiring a target image of a target region, and displaying the target image on a display; determining a region of interest in the target image based on a non-contact biometric identification technology; calculating the average gray value of the region of interest; determining the region of interest dose corresponding to the average gray value of the region of interest according to the relationship between the average gray value and the X-ray receiving dose of the X-ray receiver; adjusting the exposure parameters of the X-ray source according to the principle of making the region of interest dose reach a predetermined X-ray reference receiving dose, and acquiring the original X-ray image of the target region collected based on the adjusted exposure parameters. The technical scheme in the embodiment of the present application can acquire an image with imaging quality meeting the user's demand.

Description

Technical Field

[0001] This invention relates to the medical field, and in particular to a method, system, X-ray device, and computer-readable storage medium for acquiring X-ray images. Background Technology

[0002] X-ray imaging systems are widely used in the medical field and are important tools in clinical and diagnostic procedures. In X-ray equipment, the X-ray source and X-ray receiver (e.g., a flat panel detector) are mounted opposite each other, allowing the X-rays generated by the source to penetrate the object and strike the receiver for detection. X-ray equipment with sequential imaging and fluoroscopy modes, such as fluoroscopy, angiography systems, and surgical C-arm systems, acquires real-time images and displays them on a monitor. To obtain good image quality, appropriate exposure parameters are typically used to obtain a good raw image; then, image processing is performed on the raw image to further improve its quality.

[0003] Currently, these devices typically use automatic exposure control or dose adjustment for image acquisition. The exposure or dose is calculated for the entire image area, and image processing is also performed on the entire image. In most cases, the image quality is good. However, in certain specific situations, the image quality may not be good enough. For example, images with areas of varying density, images containing body parts not in the center of the field of view (FOV), or images containing large metal objects within the FOV may have insufficient image quality.

[0004] Therefore, those skilled in the art are also working to find other image acquisition solutions. Summary of the Invention

[0005] In view of this, this invention provides an X-ray image acquisition method, an X-ray image acquisition system, an X-ray machine, and a computer-readable storage medium to acquire images with imaging quality that meets user requirements.

[0006] An X-ray image acquisition method proposed in this embodiment of the invention includes: acquiring a target image of a target area and displaying the target image on a display; determining a region of interest (ROI) in the target image based on non-contact biometric identification technology; calculating the average grayscale value of the ROI; determining the ROI receiving dose corresponding to the average grayscale value of the ROI according to a predetermined relationship between the average grayscale value and the X-ray receiving dose of the X-ray receiver; adjusting the exposure parameters of the X-ray source according to the principle of making the ROI receiving dose reach a predetermined X-ray reference receiving dose; and acquiring the original X-ray image of the target area acquired based on the adjusted exposure parameters.

[0007] In one embodiment, the method further includes: performing image processing on the original X-ray image with the region of interest as the target optimization region to obtain an X-ray image of the target region.

[0008] In one embodiment, determining the region of interest (ROI) of a user in a target image based on non-contact biometric recognition technology includes: collecting eye-tracking data of the user's gaze at the target image using an eye tracker; determining the user's gaze position on the target image based on the eye-tracking data; using the gaze position as the center point of the ROI, and determining the ROI in the target image according to a set ROI size.

[0009] In one embodiment, determining the region of interest (ROI) of a user in a target image based on non-contact biometric recognition technology includes: using a gesture determination system to collect information on the user's gesture selection on the target image; determining the selection position corresponding to the gesture selection on the target image based on the gesture selection information; and determining the ROI in the target image based on the selection position.

[0010] In one embodiment, the region selection gesture includes: a click gesture toward a point on the target image; the selection location includes: a point location; and determining the user's region of interest in the target image based on the selection location is: taking the point location corresponding to the click gesture as the center point of the region of interest, and determining the region of interest in the target image according to a set region of interest size.

[0011] In one embodiment, the region selection gesture includes: a drawing gesture towards the target image; the selection position includes: a region outline position; and the determination of the user's region of interest in the target image based on the selection position is as follows: taking the region outline position as the initial region of interest, and standardizing the initial region of interest according to a set region shape standard to obtain the region of interest in the target image.

[0012] An X-ray image acquisition system proposed in this embodiment of the invention includes: a first unit for acquiring a target image of a target area and displaying the target image on a display; a second unit for determining a region of interest (ROI) in the target image based on non-contact biometric identification technology; a third unit for calculating the average grayscale value of the ROI; a fourth unit for determining the ROI receiving dose corresponding to the average grayscale value of the ROI based on a predetermined relationship between the average grayscale value and the X-ray receiving dose of the X-ray receiver; and a fifth unit for adjusting the exposure parameters of the X-ray source according to the principle of making the ROI receiving dose reach a predetermined X-ray reference receiving dose, and acquiring the original X-ray image of the target area based on the adjusted exposure parameters.

[0013] In one embodiment, it further includes: a sixth unit, configured to perform image processing on the original X-ray image of the target region, with the region of interest as the target optimization region, to obtain an X-ray image of the target region.

[0014] In one embodiment, the second unit includes: an eye tracker for collecting eye-tracking data of the user gazing at the target image; a first position determination module for determining the user's gaze position on the target image based on the eye-tracking data; and a first region determination module for determining the region of interest in the target image by using the gaze position as the center point of the region of interest and according to a set region of interest size.

[0015] In one embodiment, the second unit includes: a gesture determination system for acquiring information about a user's region selection gesture on the target image; a second position determination module for determining a selection position on the target image corresponding to the region selection gesture based on the information about the region selection gesture; and a second region determination module for determining a region of interest in the target image based on the selection position.

[0016] In one embodiment, the region selection gesture includes: a click gesture toward a point on the target image; the second position determination module is used to determine the point position corresponding to the click gesture on the target image; the second region determination module is used to use the point position as the center point of the region of interest, and determine the region of interest in the target image according to a set region of interest size.

[0017] In one embodiment, the region selection gesture includes: a frame-drawing gesture toward the target image; the second position determination module is used to determine the region outline position corresponding to the frame-drawing gesture on the target image; the second region determination module is used to take the region outline position as an initial region of interest, and to standardize the initial region of interest according to a set region shape standard to obtain the region of interest in the target image.

[0018] Another X-ray image acquisition system proposed in this embodiment of the invention includes: at least one memory and at least one processor, wherein: the at least one memory is used to store a computer program; the at least one processor is used to call the computer program stored in the at least one memory to execute the X-ray image acquisition method as described in any of the above embodiments.

[0019] An X-ray device proposed in this embodiment of the invention includes: an X-ray image acquisition system as described in any of the above embodiments.

[0020] The computer-readable storage medium proposed in this embodiment of the invention stores a computer program thereon; the computer program can be executed by a processor to implement the X-ray image acquisition method as described in any of the above embodiments.

[0021] As can be seen from the above scheme, in this embodiment of the invention, after acquiring the target image, the region of interest in the target image is determined based on non-contact biometric recognition technology. For the region of interest, the X-ray emission dose is adjusted according to the exposure parameters that make the region of interest meet the imaging quality requirements, and the optimized original X-ray image is obtained based on the adjusted exposure parameters.

[0022] Furthermore, the original X-ray image can be processed based on the region of interest to obtain an X-ray image that meets the imaging quality requirements of the region of interest. Attached Figure Description

[0023] Preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings, which will make the above and other features and advantages of the present invention more apparent to those skilled in the art. In the drawings:

[0024] Figure 1 This is an exemplary flowchart of an X-ray image acquisition method according to an embodiment of the present invention.

[0025] Figure 2 This is a schematic diagram illustrating the use of an eye tracker to collect eye-tracking data of a user's gaze at a target image in an example of the present invention.

[0026] Figure 3This is an exemplary structural diagram of an X-ray image acquisition system according to an embodiment of the present invention.

[0027] Figure 4 This is an exemplary structural diagram of another X-ray image acquisition system in an embodiment of the present invention.

[0028] The accompanying figure is labeled as follows:

[0029] label meaning S11~S16 step 21 Eye tracker 22 monitor 310 Unit 1 320 Unit 2 330 Unit 3 340 Unit 4 350 Unit 5 360 Unit 6 41 memory 42 processor 43 monitor 44 bus Detailed Implementation

[0030] In this embodiment of the invention, considering that in an X-ray image, the user may be more concerned with the image quality of the region of interest (ROI), the overall image quality obtained by calculating exposure parameters and processing the image based on the entire image region may not be good enough for images with different density areas, images with body parts not in the center of the field of view (FOV), or images with large metal objects in the FOV. However, if the exposure parameter calculation and image processing are based on the user's ROI, the image quality of the ROI can at least be guaranteed. Therefore, this embodiment considers calculating exposure parameters and processing the image based on the user's ROI.

[0031] Furthermore, to facilitate user operation, such as during interventional surgery, it is considered to determine the region of interest in the target image based on non-contact biometric recognition technology. For example, the region of interest can be determined by detecting the area of ​​the target image being gazed at by the human eye, or by detecting the center position of the area selected by the human hand on the target image, or by determining the outline position of the area selected by the movement trajectory.

[0032] To provide a clearer understanding of the objectives, technical solutions, and effects of this invention, specific embodiments of the invention are now described with reference to the accompanying drawings. In the drawings, the same reference numerals indicate components with the same or similar structures but the same function.

[0033] In this document, “exemplary” and “illustrative” mean “serving as an example, illustration or description”, and any illustration or implementation described herein as “exemplary” or “illustrative” should not be construed as a more preferred or more advantageous technical solution.

[0034] To keep the drawings simple, each drawing only schematically shows the parts related to the present invention, and they do not represent the actual structure of the product.

[0035] In this article, "one" can mean not only "only one" but also "more than one". In this article, "first", "second", etc., are used only to distinguish them from each other, not to indicate their importance or order.

[0036] Figure 1 This is an exemplary flowchart of an X-ray image acquisition method in an embodiment of the present invention. Figure 1 As shown, the method may include the following steps:

[0037] Step S11: Acquire the target image of the target area and display the target image on a monitor.

[0038] In this step, the target area can be the imaging area used by the user during clinical procedures. Furthermore, this target area can be changed according to the actual application, and the image acquired in step S11 will change accordingly when the target area changes.

[0039] In specific implementation, the scheme in this embodiment can be executed in real time, and correspondingly, step S11 is also executed in real time; it can also be executed periodically, and correspondingly, step S11 is also executed periodically; or it can be executed conditionally, and correspondingly, step S11 can be triggered when the target area is initially determined and when the target area changes.

[0040] Step S12: Determine the region of interest in the target image based on non-contact biometric recognition technology.

[0041] There are several ways to implement this step S12. Two of them are listed below.

[0042] The first type:

[0043] A1. Use an eye tracker to collect eye-tracking data of the user gazing at the target image.

[0044] like Figure 2 As shown, the eye tracker 21 can be mounted on a device displaying the target image, such as on the display 22 or at other locations on its edges. Figure 2 To highlight the eye tracker 21, it is shown outside the display 22. Through calibration, characteristics such as interpupillary distance of the human eye can be obtained. Infrared auxiliary light enables inverse calculations of the physiological structural scale of the human eye, thus determining the coordinate position of the eye as it sees the screen based on the direction and distance of the gaze. Furthermore, this could also be a portable eye tracker.

[0045] A2. Determine the user's gaze position on the target image based on the eye-tracking data.

[0046] A3. Using the gaze position as the center point of the region of interest, determine the region of interest in the target image according to a set region of interest size.

[0047] The second type:

[0048] B1. The gesture recognition system collects information about the user's gesture selection of the target image.

[0049] The region selection gesture can be any kind of gesture, such as a click gesture toward a point on the target image; or it can be a drawing gesture toward the target image, such as a one-stroke movement trajectory gesture, a multi-stroke movement trajectory gesture, or a gesture for measuring the length and width of a region, etc.

[0050] B2. Determine the selection position on the target image corresponding to the region selection gesture based on the information of the region selection gesture.

[0051] Among them, the selection location determined for a click gesture can be a point location; the selection location determined for a draw gesture can be the outline location of the region.

[0052] B3. Determine the region of interest in the target image based on the selected location.

[0053] When the selected location is a point location, the point location can be used as the center point of the region of interest, and the region of interest in the target image can be determined according to a set region of interest size.

[0054] When the selected location is a region outline, this region outline can be used as the initial region of interest (ROI). The initial ROI is then standardized according to a set region shape standard to obtain the ROI in the target image. The region shape standard can be a rectangular region with a set aspect ratio, a circular region, or a region consistent with the region outline location (i.e., the initial ROI is directly used as the user's ROI without further processing).

[0055] Step S13: Calculate the average grayscale value of the region of interest.

[0056] Step S14: Determine the region of interest receiving dose corresponding to the average gray value of the region of interest based on the predetermined relationship between the average gray value and the X-ray receiving dose of the X-ray receiver.

[0057] Step S15: Adjust the exposure parameters of the X-ray source according to the principle of making the received dose of the region of interest reach a predetermined X-ray reference received dose, and acquire the original X-ray image of the target region based on the adjusted exposure parameters.

[0058] In practice, in step S15, the received dose of the region of interest can be compared with the predetermined X-ray reference received dose that meets the imaging requirements, and the exposure parameters of the X-ray source can be adjusted according to the principle of making the received dose of the region of interest reach or approach the X-ray reference received dose to a preset extent.

[0059] In this embodiment, the X-ray reference receiving dose can be a range of values, such as A±10%, A±5%, etc., where A is a predetermined X-ray receiving dose that meets the imaging requirements, such as 100, etc.

[0060] The process of adjusting the X-ray source exposure parameters according to the principle of ensuring that the received dose in the region of interest (ROI) reaches the X-ray reference received dose can be a cyclical process, because a single adjustment may not guarantee that the corresponding X-ray received dose will reach the X-ray reference received dose. Therefore, after one adjustment, a current adjusted image of the target region based on the adjusted exposure parameters can be acquired. Then, the average pixel value of the ROI in the current adjusted image is calculated. Based on the relationship between the average pixel value and the X-ray received dose of the X-ray receiver, the ROI received dose corresponding to the average pixel value of the ROI is determined. It is then determined whether the ROI received dose reaches the X-ray reference received dose. If it does, the current adjusted image is used as the original X-ray image; otherwise, the X-ray source exposure parameters are adjusted again, and the process returns to the step of acquiring the current adjusted image of the target region based on the adjusted exposure parameters. The adjustment of the X-ray source exposure parameters can be achieved by adjusting parameters of the X-ray source such as voltage and current.

[0061] Step S16: Using the region of interest as the target optimization region, perform image processing on the original X-ray image to obtain the X-ray image of the target region.

[0062] Of course, in other embodiments, when processing the original X-ray image, the entire image region may be used as the target optimization region instead of the region of interest. The specific implementation can be determined according to the actual situation, and is not limited here.

[0063] The X-ray image acquisition method in the embodiments of the present invention has been described in detail above. The X-ray image acquisition system in the embodiments of the present invention will now be described in detail below. The X-ray image acquisition system in the embodiments of the present invention can be used to implement the X-ray image acquisition method in the embodiments of the present invention. For details not disclosed in detail in the system embodiments of the present invention, please refer to the corresponding descriptions in the method embodiments of the present invention, which will not be repeated here.

[0064] Figure 3This is an exemplary structural diagram of an X-ray image acquisition system in an embodiment of the present invention. Figure 3 As shown, the system may include: a first unit 310, a second unit 320, a third unit 330, a fourth unit 340, a fifth unit 350, and a sixth unit 360.

[0065] The first unit 310 is used to acquire a target image of the target area and display the target image on a display.

[0066] The second unit 320 is used to determine the region of interest in the target image based on non-contact biometric recognition technology.

[0067] The third unit 330 is used to calculate the average grayscale value of the region of interest.

[0068] The fourth unit 340 is used to determine the region of interest receiving dose corresponding to the average gray value of the region of interest based on the relationship between the pre-determined average gray value and the X-ray receiving dose of the X-ray receiver.

[0069] The fifth unit 350 is used to adjust the exposure parameters of the X-ray source according to the principle of making the received dose of the region of interest reach a predetermined X-ray reference received dose, and to acquire the original X-ray image of the target region based on the adjusted exposure parameters.

[0070] The sixth unit 360 is used to perform image processing on the original X-ray image of the target region, using the region of interest as the target optimization region, to obtain an X-ray image of the target region. In some embodiments, when performing image processing on the original optimized image of the target region, the entire image region may be used as the target optimization region instead of the region of interest. The specific implementation can be determined according to the actual situation, and is not limited here.

[0071] and Figure 1 Corresponding to the method shown, in one embodiment, the second unit 320 may include: an eye tracker ( Figure 3 (not shown in the image), first position determination module ( Figure 3 (not shown in the image) and the first region determination module ( Figure 3 (Not shown in the image).

[0072] The eye tracker is used to collect eye-tracking data of the user gazing at the target image.

[0073] The first position determination module is used to determine the user's gaze position on the target image based on the eye-tracking data.

[0074] The first region determination module is used to determine the region of interest in the target image by taking the gaze position as the center point of the region of interest and according to a set region of interest size.

[0075] In another embodiment, the second unit 320 may include: a gesture recognition system ( Figure 3 (not shown in the image), second position determination module ( Figure 3 (not shown in the image) and the second region determination module ( Figure 3 (Not shown in the image).

[0076] The gesture determination system is used to obtain information about the user's gesture for selecting a region of the target image.

[0077] The second position determination module is used to determine the selection position on the target image corresponding to the region selection gesture based on the information of the region selection gesture.

[0078] The second region determination module is used to determine the region of interest in the target image based on the selected location.

[0079] In one example, the region selection gesture may include a click gesture toward a point on the target image; correspondingly, the second position determination module may be used to determine the point position corresponding to the click gesture on the target image; the second region determination module may be used to use the point position as the center point of the region of interest, and determine the region of interest in the target image according to a set region of interest size.

[0080] In another example, the region selection gesture may include: a drawing gesture toward the target image; correspondingly, the second position determination module is used to determine the region outline position corresponding to the drawing gesture on the target image; the second region determination module is used to take the region outline position as the initial region of interest, and to standardize the initial region of interest according to a set region shape standard to obtain the region of interest in the target image.

[0081] Figure 4 This is a schematic diagram of the structure of another X-ray image acquisition system according to an embodiment of the present invention, such as... Figure 4 As shown, the system may include at least one memory 41, at least one processor 42, and at least one display 43. Additionally, it may include other components, such as communication ports. These components communicate via a bus 44.

[0082] At least one memory 41 is used to store a computer program. In one embodiment, the computer program can be understood to include... Figure 3The X-ray image acquisition system shown comprises various modules. In addition, at least one memory 41 may store an operating system, etc. The operating system includes, but is not limited to: Android, Symbian, Windows, Linux, etc.

[0083] At least one display 43 is used to display the acquired target image, the raw X-ray image, and the final X-ray image, etc.

[0084] At least one processor 42 is used to invoke a computer program stored in at least one memory 41 to execute the X-ray image acquisition method described in this embodiment of the invention. The processor 42 can be a CPU, processing unit / module, ASIC, logic module, or programmable gate array, etc. It can receive and transmit data through the communication port.

[0085] This invention also provides an X-ray device, which includes the X-ray image acquisition system described in any of the above embodiments.

[0086] It should be noted that not all steps and modules in the above processes and structural diagrams are mandatory; some steps or modules can be omitted as needed. The execution order of the steps is not fixed and can be adjusted as required. The division of modules is merely for the convenience of description and functional division. In actual implementation, a module can be implemented by multiple modules, and the functions of multiple modules can also be implemented by the same module. These modules can be located in the same device or in different devices.

[0087] It is understood that the hardware modules in the above embodiments can be implemented mechanically or electronically. For example, a hardware module may include specially designed permanent circuits or logic devices (such as dedicated processors, such as FPGAs or ASICs) to perform specific operations. A hardware module may also include programmable logic devices or circuits (such as general-purpose processors or other programmable processors) temporarily configured by software to perform specific operations. The specific method used to implement the hardware module—whether it is mechanical, a dedicated permanent circuit, or a temporarily configured circuit (such as one configured by software)—can be determined based on cost and time considerations.

[0088] Furthermore, this embodiment of the invention also provides a computer-readable storage medium storing a computer program that can be executed by a processor to implement the X-ray image acquisition method described in this embodiment. Specifically, a system or apparatus equipped with a storage medium can be provided, on which software program code implementing the functions of any of the above embodiments is stored, and the computer (or CPU or MPU) of the system or apparatus can read and execute the program code stored in the storage medium. Furthermore, the operating system or other devices operating on the computer can perform some or all of the actual operations through instructions based on the program code. The program code read from the storage medium can also be written to a memory located in an expansion board inserted into the computer or to a memory located in an expansion unit connected to the computer. Subsequently, the CPU or other devices installed on the expansion board or expansion unit can execute some or all of the actual operations based on the instructions of the program code, thereby implementing the functions of any of the above embodiments. Storage medium embodiments for providing program code include floppy disks, hard disks, magneto-optical disks, optical disks (such as CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD+RW), magnetic tapes, non-volatile memory cards, and ROMs. Alternatively, program code can be downloaded from a server computer via a communication network.

[0089] As can be seen from the above scheme, in this embodiment of the invention, after acquiring the target image, the region of interest in the target image is determined based on non-contact biometric recognition technology. For the region of interest, the X-ray emission dose is adjusted according to the exposure parameters that make the region of interest meet the imaging quality requirements, and the optimized original X-ray image is obtained based on the adjusted exposure parameters.

[0090] Furthermore, the original X-ray image can be processed based on the region of interest to obtain an X-ray image that meets the imaging quality requirements of the region of interest.

[0091] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for acquiring X-ray images, characterized in that, include: Acquire a target image of the target area and display the target image on a display (S11). The region of interest in the target image is determined based on non-contact biometric recognition technology (S12). Calculate the average grayscale value of the region of interest (S13); Based on the predetermined relationship between the average gray value and the X-ray receiving dose of the X-ray receiver, the receiving dose of the region of interest corresponding to the average gray value of the region of interest is determined (S14). The exposure parameters of the X-ray source are adjusted according to the principle of making the received dose of the region of interest reach a predetermined X-ray reference received dose, and the original X-ray image of the target region is acquired based on the adjusted exposure parameters (S15). Using the region of interest as the target optimization region, the original X-ray image is processed to obtain the X-ray image of the target region (S16). The X-ray image acquisition method is implemented using an X-ray device with a sequence photography mode and a fluoroscopic mode.

2. The X-ray image acquisition method according to claim 1, characterized in that, The step of determining the region of interest (S12) in the target image based on non-contact biometric recognition technology includes: An eye tracker is used to collect eye-tracking data of the user gazing at the target image; The user's gaze position on the target image is determined based on the eye-tracking data; Using the gaze position as the center point of the region of interest, and according to a set region of interest size, the region of interest in the target image is determined.

3. The X-ray image acquisition method according to claim 1, characterized in that, The step of determining the region of interest (S12) in the target image based on non-contact biometric recognition technology includes: The gesture recognition system collects information about the user's gestures when selecting a region in the target image. The selection position of the region selection gesture on the target image is determined based on the information of the region selection gesture. The region of interest in the target image is determined based on the selected location.

4. The X-ray image acquisition method according to claim 3, characterized in that, The region selection gesture includes: a tap gesture toward a point on the target image; the selection location includes: the point location; The step of determining the region of interest in the target image based on the selected position is as follows: taking the point position corresponding to the click gesture as the center point of the region of interest, and determining the region of interest in the target image according to a set region of interest size.

5. The X-ray image acquisition method according to claim 3, characterized in that, The region selection gesture includes: a bounding gesture towards the target image; the selection location includes: the region outline location; The step of determining the region of interest in the target image based on the selected location is as follows: taking the region outline position as the initial region of interest, and standardizing the initial region of interest according to the set region shape standard to obtain the region of interest in the target image.

6. An X-ray image acquisition system, characterized in that, include: The first unit (310) is used to acquire a target image of the target area and display the target image on a display screen; The second unit (320) is used to determine the region of interest in the target image based on non-contact biometric recognition technology; The third unit (330) is used to calculate the average gray value of the region of interest; The fourth unit (340) is used to determine the region of interest receiving dose corresponding to the average gray value of the region of interest based on the relationship between the pre-determined average gray value and the X-ray receiving dose of the X-ray receiver; The fifth unit (350) is used to adjust the exposure parameters of the X-ray source according to the principle of making the received dose of the region of interest reach a predetermined X-ray reference received dose, and to acquire the original X-ray image of the target region based on the adjusted exposure parameters. and The sixth unit (360) is used to perform image processing on the original X-ray image of the target region with the region of interest as the target optimization region, so as to obtain the X-ray image of the target region; The X-ray image acquisition system is set in an X-ray device with sequential imaging mode and fluoroscopic mode.

7. The X-ray image acquisition system according to claim 6, characterized in that, The second unit (320) includes: An eye tracker is used to collect eye-tracking data of a user gazing at the target image; The first position determination module is used to determine the user's gaze position on the target image based on the eye-tracking data; The first region determination module is used to determine the region of interest in the target image by taking the gaze position as the center point of the region of interest and according to a set region of interest size.

8. The X-ray image acquisition system according to claim 6, characterized in that, The second unit (320) includes: A gesture recognition system is used to acquire information about a user's gesture for selecting a region of the target image; The second position determination module is used to determine the selection position on the target image corresponding to the region selection gesture based on the information of the region selection gesture. The second region determination module is used to determine the region of interest in the target image based on the selected location.

9. The X-ray image acquisition system according to claim 8, characterized in that, The region selection gesture includes: a tap gesture toward a point on the target image; The second position determination module is used to determine the position of the point corresponding to the click gesture on the target image; The second region determination module is used to determine the region of interest in the target image by taking the point position as the center point of the region of interest and according to a set region of interest size.

10. The X-ray image acquisition system according to claim 8, characterized in that, The region selection gesture includes: a drawing gesture towards the target image; The second position determination module is used to determine the region outline position corresponding to the frame drawing gesture on the target image; The second region determination module is used to take the region contour position as the initial region of interest, and to standardize the initial region of interest according to the set region shape standard to obtain the region of interest in the target image.

11. An X-ray image acquisition system, characterized in that, include: At least one memory (41) and at least one processor (42), wherein: The at least one memory (41) is used to store computer programs; The at least one processor (42) is used to call a computer program stored in the at least one memory (41) to execute the X-ray image acquisition method as described in any one of claims 1 to 5.

12. An X-ray device, characterized in that, The X-ray image acquisition system includes any one of claims 6 to 11, wherein the X-ray device has a sequential imaging mode and a fluoroscopic mode.

13. A computer-readable storage medium having a computer program stored thereon; characterized in that, The computer program can be executed by a processor to implement the X-ray image acquisition method as described in any one of claims 1 to 5.

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