Medical imaging subject positioning method, medical imaging equipment and computer readable storage medium
By performing positioning imaging on the examination table and utilizing image analysis, the problem of insufficient patient positioning accuracy is solved, achieving higher positioning accuracy and hardware cost savings, and is applicable to magnetic resonance imaging and other medical imaging equipment.
Patent Information
- Application Number
- CN202411127832.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-15
- Publication Date
- 2026-03-03
AI Technical Summary
Existing methods for locating examinees rely on doctors' visual observation, which leads to insufficient accuracy and requires hardware devices to input the location results, resulting in high costs.
By performing positioning imaging on the examination bed and using image analysis to determine the target position of the examination bed, the reliance on laser lights and position pressure sensors is avoided, and the position of the examination bed is adjusted directly based on the imaging results.
It improves the accuracy of subject positioning, saves hardware costs, and can be effectively applied in both real-time and non-real-time imaging devices, saving time.
Smart Images
Figure CN121587703A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of medical imaging, and more particularly to a method for locating a patient in medical imaging, and a medical imaging device and computer-readable storage medium for implementing the method. Background Technology
[0002] In magnetic resonance imaging (MRI), subject localization is crucial. Accurate subject localization allows the region of interest to be located at the isocenter of the MRI scanner, thereby improving image quality.
[0003] In current patient localization methods, doctors visually observe the patient on the examination table, determining the location of the region of interest (ROI) based on their experience. This determination is then input into the MRI machine's control system via hardware devices such as laser lights and position pressure sensors. The MRI machine's control system moves the examination table according to this determination, positioning the RPI area of interest, as determined by the doctor, at the ISO center of the MRI machine. Because doctors can only observe the patient's external features, the accuracy of this method cannot be guaranteed. Summary of the Invention
[0004] The purpose of this invention is to provide a method for locating a patient in medical imaging, which helps to improve the accuracy of patient location.
[0005] Another object of the present invention is to provide a medical imaging device that helps to improve the accuracy of patient positioning.
[0006] Another object of the present invention is to provide a computer-readable storage medium that facilitates improved accuracy in subject positioning.
[0007] This invention provides a patient positioning method for medical imaging, wherein the patient is positioned on an examination table of a medical imaging device. The examination table of the medical imaging device is movable to adjust the position of the patient's region of interest within the medical imaging device. The patient positioning method includes: S10: controlling the medical imaging device to perform imaging on the patient for patient positioning, referred to as positioning imaging; and S20: determining a target position of the examination table based on the image obtained from the positioning imaging, such that the position of the patient's region of interest on the examination table at the target position within the medical imaging device conforms to a set position condition, and controlling the examination table to position it at the target position.
[0008] Compared to determining the target position of the examination bed based on the external characteristics of the examinee obtained through the doctor's naked-eye observation, this medical imaging method for examinee localization determines the target position of the examination bed based on images obtained through localization imaging, which can improve the accuracy of examinee localization. Furthermore, this medical imaging method for examinee localization does not require hardware devices such as laser lights or position / pressure sensors to input the doctor's judgment of the location of the examinee's region of interest, thus saving hardware costs.
[0009] In another illustrative embodiment of the subject localization method for medical imaging, the medical imaging is magnetic resonance imaging.
[0010] In another illustrative embodiment of the patient localization method in medical imaging, in S10, localization imaging is real-time imaging during the movement of the examination bed along the bed-entry direction. Specifically, S20 involves: generating matching target data based on the type of the region of interest (ROI), where the matching target data is image feature data corresponding to that ROI; determining in real-time whether the image obtained from real-time imaging meets the set matching conditions; if the matching conditions are met, the position of the ROI of the patient within the medical imaging device matches the set position conditions; if the determination result is negative, real-time imaging continues; if the determination result is positive, the current position of the examination bed is set as the target position, and the examination bed is stopped to locate itself at the target position. This allows for simultaneous patient localization during real-time imaging, saving time.
[0011] In another illustrative embodiment of the patient localization method for medical imaging, S20 specifically involves: analyzing the image obtained from localization imaging to determine the position of the patient's region of interest in the medical imaging device during the localization imaging process; determining the target position of the examination bed based on the position of the patient's region of interest in the medical imaging device during the localization imaging process; and controlling the examination bed to position itself at the target position.
[0012] In another illustrative embodiment of the patient localization method for medical imaging, in S10, localization imaging is real-time imaging during the movement of the examination bed along the bed-entry direction. Specifically, S20 involves: analyzing the image obtained from real-time imaging to determine the position of the patient's region of interest (ROI) within the medical imaging device; and determining in real-time whether the position of the RIO meets the set position conditions. If the determination result is negative, real-time imaging continues; if the determination result is positive, the current position of the examination bed is set as the target position, and the examination bed is stopped to locate itself at the target position. This allows for simultaneous patient localization during real-time imaging, saving time.
[0013] In another illustrative embodiment of the patient positioning method for medical imaging, in S10, positioning imaging specifically involves: dividing the area of the examination bed used to support the patient into several sub-regions distributed along the bed entry direction; imaging each sub-region sequentially from front to back along the bed entry direction; wherein, during imaging of each sub-region, the examination bed stops at a stopping position; after imaging each sub-region, it is determined in real time whether the patient's region of interest is contained within the imaging area of the previously imaged region based on the image obtained from the imaging of the previously imaged region; if the determination result is no, imaging of the next sub-region continues; if the determination result is yes, imaging of the subsequent sub-regions stops. S20 specifically involves: analyzing the image obtained from the previously imaged region to determine the position of the patient's region of interest in the medical imaging device at the time of the last imaging; determining the target position of the examination bed based on the position of the patient's region of interest in the medical imaging device at the time of the last imaging and the stopping position of the examination bed corresponding to the last imaging; and controlling the examination bed to position itself at the target position. This method can be applied to magnetic resonance imaging products that do not support real-time imaging, thus expanding its applicability.
[0014] In another illustrative embodiment of the patient localization method for medical imaging, in S10, localization imaging specifically involves: analyzing the possible location range of the patient's region of interest (ROI) within the medical imaging device based on the patient's height and lying direction; determining the transition position of the examination bed based on the possible location range of the ROI within the medical imaging device; ensuring that the ROI of the patient on the examination bed at the transition position is within the field of view of the medical imaging device; and imaging the patient on the examination bed at the transition position, which is called transition imaging. S20 specifically involves: analyzing the image obtained from transition imaging to determine the position of the patient's ROI within the medical imaging device during transition imaging; determining the target position of the examination bed based on the position of the ROI within the medical imaging device during transition imaging and the transition position of the examination bed; and controlling the examination bed to position itself at the target position. Since only one transition imaging is needed on the patient on the examination bed at the transition position to determine the target position of the examination bed, this saves time and increases speed.
[0015] In another illustrative embodiment of the patient positioning method for medical imaging, S10 further includes: directly acquiring data on the patient's height and lying position by input; or controlling a camera to photograph the patient on the examination bed, and obtaining data on the patient's height and lying position by analyzing the images acquired by the camera; or controlling a medical imaging device to perform real-time imaging of the patient as the examination bed moves along the bed-entry direction, and obtaining data on the patient's height and lying position by analyzing the images obtained from the real-time imaging.
[0016] In another illustrative embodiment of the subject localization method for medical imaging, in S20, the position of the subject's region of interest in the medical imaging device is the position of the subject's region of interest in the bed-entry direction, or the position of a set point / set area within the subject's region of interest in the bed-entry direction.
[0017] In another illustrative embodiment of the subject localization method for medical imaging, the set position conditions are: the area occupied by the subject's region of interest in the direction of the main magnetic field includes the ISO center of the magnetic resonance imaging device; or the area occupied by a set region within the subject's region of interest in the direction of the main magnetic field includes the ISO center of the magnetic resonance imaging device; or the distance between a set point within the subject's region of interest and the ISO center of the magnetic resonance imaging device along the direction of the main magnetic field is within a set range.
[0018] This invention also provides a medical imaging device, including a storage and processing unit. The storage and processing unit includes a memory and a processor. The memory stores a computer program. When the processor executes the computer program, it can implement the steps of the above-described patient positioning method for medical imaging. Compared to determining the target position of the examination bed based on the external characteristics of the patient obtained through the doctor's naked-eye observation, this medical imaging device can determine the target position of the examination bed based on the image obtained through positioning imaging, which can improve the accuracy of patient positioning. Furthermore, this medical imaging device does not require hardware devices such as laser lights and position / pressure sensors to input the doctor's judgment results on the location of the patient's region of interest, thus saving hardware costs.
[0019] The present invention also provides a computer-readable storage medium storing a computer program thereon. When the computer program is executed by a processor, it can implement the steps of the above-described subject localization method for medical imaging. This improves the accuracy of subject localization and helps save hardware costs. Attached Figure Description
[0020] The following figures are for illustrative purposes only and do not limit the scope of the invention.
[0021] Figure 1 Used to display magnetic resonance imaging equipment and the patient on the examination table supported by the magnetic resonance imaging equipment.
[0022] Figure 2 A flowchart illustrating one implementation of a method for locating a subject in medical imaging.
[0023] Figure 3 The area of the examination bed used to display the patient is divided into several sub-areas.
[0024] Label Explanation
[0025] 100 Magnetic Resonance Imaging Equipment
[0026] 10 Examination Beds
[0027] The area of the 50 examination beds for carrying the examinee
[0028] 51 sub-regions
[0029] P Subject
[0030] G. Region of interest of the examinee
[0031] A. Bed entry direction Detailed Implementation
[0032] To provide a clearer understanding of the technical features, objectives, and effects of the 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, “illustrative” means “serving as an example, illustration or description”, and any illustration or implementation described herein as “illustrative” should not be construed as a more preferred or 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] This invention provides a method for patient localization in medical imaging, such as magnetic resonance imaging (MRI), but not limited to it; other types of medical imaging, such as computed tomography (CT), can also be used. This illustrative embodiment uses MRI as an example to specifically illustrate the method for patient localization in medical imaging.
[0036] like Figure 1 As shown, the magnetic resonance imaging (MRI) device 100 for magnetic resonance imaging includes an examination bed 10 for supporting a patient P. During MRI, the patient P lies on the examination bed 10. The examination bed 10 is movable to adjust the position of the patient P's region of interest within the MRI device. Regions of interest for the patient include, but are not limited to, the head, cervical spine, shoulders, heart, liver, and wrists. Specifically, the examination bed 10 can, for example, be moved by a motor along a bed-entry direction A parallel to the main magnetic field direction and in the opposite direction to bed-entry direction A to adjust the position of the patient's region of interest within the MRI device along bed-entry direction A.
[0037] Figure 2 A flowchart illustrating one implementation of a method for locating a subject in medical imaging. (e.g.) Figure 2 As shown, the subject localization methods include S10 and S20.
[0038] S10: Controlling the magnetic resonance imaging device to perform imaging for subject localization is called localization imaging. The imaging area of localization imaging may include, for example, the subject's region of interest.
[0039] While localization imaging may not provide sufficient diagnostic information, its resolution is high enough to distinguish the patient's region of interest (ROI) from surrounding anatomical structures. The imaging parameters for localization imaging are determined, for example, based on the patient's RIO, and the correspondence between these parameters and the RIO is preset in the control system of the MRI machine. The control system, for example, can automatically select the appropriate imaging parameters for localization imaging based on the RIO.
[0040] Specifically, in this illustrative embodiment, positioning imaging is real-time imaging during the movement of the examination bed along the bed-feeding direction. During real-time imaging, images are taken once at very short time intervals. Therefore, real-time imaging is actually composed of multiple single images combined. In Siemens MRI equipment, this real-time imaging is called "fast view," and the images obtained are displayed on a monitor and updated in real time, appearing more like a dynamic video. Real-time imaging is automatically triggered, for example, when the examination bed begins to move, thus saving the time required for manual initiation.
[0041] S20: Determine the target position of the examination bed based on the image obtained from the positioning imaging, so that the position of the region of interest of the examinee on the examination bed located at the target position in the magnetic resonance imaging device meets the set position conditions, and control the examination bed to position it at the target position.
[0042] In illustrative embodiments, the position of the patient's region of interest (ROI) within the MRI scanner is, for example, represented by its position in the bed-entry direction. However, this is not the limitation. In other illustrative embodiments, the position of the ROI within the MRI scanner may also be represented by the position of a set point / set area within the ROI in the bed-entry direction. The set point / set area can be manually defined as needed; for example, the set point may be the geometric center. The position of the ROI within the MRI scanner may be, for example, relative to the ISO center of the MRI scanner, but is not limited to this. During imaging of a patient's ROI, the field of view of the MRI scanner may not change relative to the ISO center. In this case, the position of the ROI within the MRI scanner may also be relative to the field of view of the MRI scanner. The patient's ROI may be derived from registration information entered by the physician, or automatically loaded from a PACS (Picture Archiving and Communication System).
[0043] In this illustrative embodiment, the setting position condition is, for example, that the region of interest occupied by the subject in the direction of the main magnetic field includes the ISO center of the magnetic resonance imaging (MRI) device, but is not limited thereto. In other illustrative embodiments, the setting position condition may also be, for example, that a set area within the subject's region of interest occupies a region in the direction of the main magnetic field that includes the ISO center of the MRI device, or that, for example, a set point within the subject's region of interest is within a set range from the ISO center of the MRI device along the direction of the main magnetic field. The set area, set point, and set range can all be specifically set as needed and are not limited here.
[0044] In this illustrative embodiment, S20 specifically involves: First, generating matching target data based on the type of the region of interest. The matching target data is image feature data corresponding to the region of interest. Image feature data includes, but is not limited to, data used to distinguish the region of interest from surrounding anatomical structures, such as the shape, size, internal structure, signal intensity, and texture of the image corresponding to the region of interest, as well as the positional data of the image corresponding to the region of interest. The matching target data is empirical data, which may be extracted, for example, from previous magnetic resonance images of the same region of interest.
[0045] Secondly, the system continuously determines whether the images acquired through real-time imaging meet the set matching conditions with the target data. Meeting the matching conditions corresponds to the location of the subject's region of interest within the magnetic resonance imaging (MRI) device conforming to the set position conditions. Therefore, the matching conditions should be set accordingly based on the set position conditions. If the determination result is negative, real-time imaging continues. If the determination result is positive, the current position of the examination table is set as the target position, and the examination table is stopped to locate itself at the target position. The images acquired through real-time imaging used for real-time determination are, for example, images of one or more slices acquired through real-time imaging, and the selected slices should contain the subject's region of interest.
[0046] Compared to determining the target position of the examination bed based on the external characteristics of the examinee obtained through the doctor's naked-eye observation, this medical imaging method for examinee localization determines the target position of the examination bed based on images obtained through localization imaging, which can improve the accuracy of examinee localization. Furthermore, this medical imaging method for examinee localization does not require hardware devices such as laser lights or position / pressure sensors to input the doctor's judgment of the location of the examinee's region of interest, thus saving hardware costs.
[0047] Besides using matching target data to obtain the target position of the examination bed, in other illustrative embodiments, S20 may also be: based on the image obtained from the positioning imaging, analyze the position of the patient's region of interest in the magnetic resonance imaging device during the positioning imaging process, determine the target position of the examination bed based on the position of the patient's region of interest in the magnetic resonance imaging device during the positioning imaging process, and control the examination bed to position it at the target position. Three specific embodiments for this situation are illustrated below.
[0048] In the first specific implementation, the positioning imaging is real-time imaging during the movement of the inspection bed along the bed entry direction.
[0049] S20 of the first specific implementation method is as follows: First, the position of the subject's region of interest in the magnetic resonance imaging device is obtained in real time based on the image obtained by real-time imaging; then, it is determined in real time whether the position of the subject's region of interest in the magnetic resonance imaging device meets the set position conditions. If the determination result is negative, real-time imaging continues. If the determination result is positive, the current position of the examination bed is set as the target position, and the examination bed is controlled to stop moving in order to be positioned at the target position.
[0050] In the second specific implementation, the positioning imaging specifically includes: Figure 3 As shown, the area 50 of the examination bed used to support the examinee P is divided into several sub-areas 51 distributed along the bed entry direction A (three sub-areas 51 are shown as an example in the figure), arranged in order from front to back along the bed entry direction (i.e., Figure 3The examination bed is stopped at a fixed position while imaging each sub-region 51 in a top-to-bottom order. After imaging each sub-region, the system continuously determines whether the patient's region of interest (ROI) is contained within the imaging area of the previously imaged region. If the determination is negative, imaging continues with the next sub-region; if the determination is positive, imaging of subsequent sub-regions stops. If two sub-regions have already been imaged, the "images obtained from the previously imaged regions" are, for example, the set of images obtained from those two sub-regions. This approach can handle situations where the patient's ROI spans several sub-regions. Figure 3 Taking the region of interest G as an example, when considering the first and second sub-regions 51 (i.e. Figure 3 After performing region imaging on the upper two sub-regions 51, it is determined that the subject's region of interest is contained within the already performed region imaging area, and the imaging of the third sub-region 51 (i.e., Figure 3 The lowermost sub-region 51) is used for regional imaging.
[0051] In the second specific implementation, S20 specifically involves: analyzing the image obtained from the previously performed regional imaging to determine the position of the subject's region of interest in the magnetic resonance imaging device during the last regional imaging; determining the target position of the examination bed based on the position of the subject's region of interest in the magnetic resonance imaging device during the last regional imaging and the stopping position of the examination bed corresponding to the last regional imaging; and controlling the examination bed to position it at the target position.
[0052] The second specific implementation is applicable, for example, to a type of magnetic resonance imaging product on the market that does not support real-time imaging, because such products cannot solve the electromagnetic interference that may be generated by the motor when the examination table moves.
[0053] In the third specific implementation, positioning imaging specifically involves: analyzing the patient's height and lying position (feet-first or head-first) to determine the possible location range of the patient's region of interest (ROI) within the magnetic resonance imaging (MRI) device. This possible location range can be, for example, a set of ROI locations within the MRI device for patients of roughly the same height and lying position, extracted from previous MRI data. Based on the possible location range of the patient's ROI within the MRI device, a transition position of the examination bed is determined, ensuring that the patient's ROI is within the MRI device's field of view when positioned on the examination bed at the transition position. Imaging the patient on the examination bed at the transition position is called transition imaging.
[0054] In the third specific implementation, S20 specifically involves: analyzing the position of the subject's region of interest in the magnetic resonance imaging device during transition imaging based on the image obtained from the transition imaging; determining the target position of the examination bed based on the position of the subject's region of interest in the magnetic resonance imaging device during transition imaging and the transition position of the examination bed; and controlling the examination bed to position it at the target position.
[0055] To obtain the subject's height and lying position data, in the illustrative embodiment, S10 further includes: directly acquiring the subject's height and lying position data via input; or controlling a camera (e.g., a 3D camera) to capture images of the subject on the examination bed, and analyzing the images acquired by the camera to obtain the subject's height and lying position data. Both methods can quickly acquire the subject's height and lying position data. Based on this, the transition position of the examination bed is determined, and a transition image is performed on the subject on the examination bed at the transition position to determine the target position of the examination bed. This saves time and increases speed.
[0056] In other illustrative embodiments, the data on the subject's height and lying position can also be obtained by controlling the magnetic resonance imaging device to perform real-time imaging of the subject as the subject moves along the edge of the examination bed, and then analyzing the images obtained in real time to obtain the subject's height and lying position data. Of course, other methods can also be used to obtain the subject's height and lying position data.
[0057] In the three illustrative embodiments described above, the position of the subject's region of interest (ROI) within the magnetic resonance imaging (MRI) device during the localization imaging process is determined by analyzing the image obtained from the localization imaging. Specifically, the method is as follows: First, the position of the subject's ROI within the image obtained from the localization imaging is analyzed; then, the position of the subject's ROI within the MRI device during the localization imaging process is determined based on the position of the subject's ROI within the image obtained from the localization imaging. The determination of the position of the subject's ROI within the image obtained from the localization imaging can be achieved using existing artificial intelligence techniques, specifically, for example, existing mathematical models, which will not be elaborated upon here. This approach assumes that the imaging area of the localization imaging includes the subject's ROI.
[0058] The present invention also provides a medical imaging device, in one illustrative embodiment of which the medical imaging device includes a storage processing unit. The storage processing unit is, for example, part of the control system of the medical imaging device. The storage processing unit includes a memory and a processor. The memory stores a computer program. When the processor executes the computer program, it can implement the steps of the above-described patient localization method for medical imaging. The medical imaging device is, for example, but not limited to, a magnetic resonance imaging device or a computed tomography (CT) scanner. Compared to determining the target position of the examination bed based on the external characteristics of the patient obtained by the doctor's naked eye observation, this medical imaging device can determine the target position of the examination bed based on the image obtained by localization imaging, which can improve the accuracy of patient localization. Furthermore, this medical imaging device does not require hardware devices such as laser lights and position pressure sensors to input the doctor's judgment result on the location of the patient's region of interest, thus saving hardware costs.
[0059] The present invention also provides a computer-readable storage medium, in one illustrative embodiment of which a computer program is stored on the storage medium. When executed by a processor, the computer program can implement the steps of the above-described subject localization method for medical imaging. This improves the accuracy of subject localization and helps save hardware costs.
[0060] The image recognition involved in this invention can all be achieved through existing artificial intelligence technologies, and will not be elaborated here.
[0061] It should be understood that although this specification is described according to various embodiments, not every embodiment contains only one independent technical solution. This way of describing the specification is only for clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment can also be appropriately combined to form other implementation methods that can be understood by those skilled in the art.
[0062] The detailed descriptions listed above are merely specific descriptions of feasible embodiments of the present invention and are not intended to limit the scope of protection of the present invention. All equivalent implementation schemes or modifications made without departing from the spirit of the present invention, such as combinations, divisions or repetitions of features, should be included within the scope of protection of the present invention.
Claims
1. A method for patient localization in medical imaging, wherein the patient is positioned on an examination table of a medical imaging device, the examination table of the medical imaging device being movable to adjust the position of the patient's region of interest within the medical imaging device, characterized in that, The subject localization method includes: S10: Controlling medical imaging equipment to perform imaging on the subject for subject positioning, referred to as positioning imaging; and S20: Determine the target position of the examination bed based on the image obtained by the positioning imaging, so that the position of the region of interest of the examinee on the examination bed located at the target position in the medical imaging device meets the set position conditions, and control the examination bed to position it at the target position.
2. The subject localization method for medical imaging as described in claim 1, characterized in that, The medical imaging is magnetic resonance imaging.
3. The subject localization method for medical imaging as described in claim 1, characterized in that, In S10, the positioning imaging is real-time imaging during the process of the inspection bed moving along the bed entry direction. S20 specifically involves: generating matching target data based on the type of region of interest, wherein the matching target data is image feature data corresponding to the region of interest; determining in real time whether the image obtained by real-time imaging and the matching target data meet the set matching conditions; if the matching conditions are met, the position of the region of interest of the examinee in the medical imaging device meets the set position conditions; if the determination result is negative, continuing real-time imaging; if the determination result is positive, setting the current position of the examination bed as the target position and controlling the examination bed to stop moving to position itself at the target position.
4. The subject localization method for medical imaging as described in claim 1, characterized in that, S20 specifically involves: analyzing the image obtained from the positioning imaging to determine the position of the subject's region of interest in the medical imaging device during the positioning imaging process; determining the target position of the examination bed based on the position of the subject's region of interest in the medical imaging device during the positioning imaging process; and controlling the examination bed to position itself at the target position.
5. The subject localization method for medical imaging as described in claim 4, characterized in that, In S10, the positioning imaging is real-time imaging during the process of the inspection bed moving along the bed entry direction. S20 specifically involves: analyzing the image obtained from the real-time imaging to determine the position of the subject's region of interest in the medical imaging device in real time, and determining in real time whether the position of the subject's region of interest in the medical imaging device meets the set position conditions. If the determination result is negative, the real-time imaging continues. If the determination result is positive, the current position of the examination bed is set as the target position, and the examination bed is controlled to stop moving in order to be positioned at the target position.
6. The subject localization method for medical imaging as described in claim 4, characterized in that, In step S10, the positioning imaging specifically involves: dividing the area of the examination bed used to support the examinee into several sub-regions distributed along the bed entry direction; performing area imaging on each sub-region in the order from front to back along the bed entry direction; wherein, when performing area imaging on each sub-region, the examination bed stops at a stopping position; after performing area imaging on each sub-region, determining in real time whether the examinee's region of interest is contained within the imaging area of the previously performed area imaging based on the image obtained from the area imaging; if the determination result is no, continuing to perform area imaging on the next sub-region; if the determination result is yes, stopping the area imaging on the subsequent sub-regions. S20 specifically involves: analyzing the image obtained from the previously performed regional imaging to determine the position of the subject's region of interest in the medical imaging device during the last regional imaging; determining the target position of the examination bed based on the position of the subject's region of interest in the medical imaging device during the last regional imaging and the stopping position of the examination bed corresponding to the last regional imaging; and controlling the examination bed to position itself at the target position.
7. The subject localization method for medical imaging as described in claim 4, characterized in that, In step S10, the positioning imaging specifically involves: analyzing the possible location range of the subject's region of interest (ROI) in the medical imaging device based on the subject's height and lying direction; determining the transition position of the examination bed based on the possible location range of the subject's ROI in the medical imaging device; ensuring that the subject's ROI on the examination bed at the transition position is within the field of view of the medical imaging device; and imaging the subject on the examination bed at the transition position, which is called transition imaging. Step S20 specifically involves: analyzing the image obtained from the transition imaging to determine the position of the subject's ROI in the medical imaging device during the transition imaging; determining the target position of the examination bed based on the position of the subject's ROI in the medical imaging device during the transition imaging and the transition position of the examination bed; and controlling the examination bed to position itself at the target position.
8. The subject localization method for medical imaging as described in claim 7, characterized in that, S10 further includes: The subject's height and lying position data can be obtained directly through input; or The camera is controlled to capture images of the patient lying on the examination bed, and the patient's height and lying position are obtained by analyzing the images acquired by the camera; or The medical imaging equipment is controlled to perform real-time imaging of the examinee as the examinee moves along the edge of the examination bed. Data on the examinee's height and lying position are obtained by analyzing the images obtained in real time.
9. The subject localization method for medical imaging as described in claim 4, characterized in that, In S20, the position of the subject's region of interest in the medical imaging device is either the position of the subject's region of interest in the direction of bed entry, or the position of a set point / set region within the subject's region of interest in the direction of bed entry.
10. The subject localization method for medical imaging as described in claim 2, characterized in that, The set position conditions are as follows: the area occupied by the subject's region of interest in the direction of the main magnetic field includes the ISO center of the magnetic resonance imaging device; or a set area within the subject's region of interest in the direction of the main magnetic field includes the ISO center of the magnetic resonance imaging device; or the distance between a set point within the subject's region of interest and the ISO center of the magnetic resonance imaging device along the direction of the main magnetic field is within a set range.
11. A medical imaging device, characterized in that, The device includes a storage processing unit, which comprises a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it can implement the steps of the subject localization method for medical imaging as described in any one of claims 1 to 10.
12. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it can implement the steps of the subject localization method for medical imaging as described in any one of claims 1 to 10.