Medical membrane, method and system for automatic correction of a membrane, storage medium
By setting multiple membrane segments of different thicknesses on the medical membrane and utilizing the relative movement between the imaging device and the examination bed, the calibration of the medical membrane is automated, solving the problem of low efficiency of manual calibration in the prior art, improving calibration efficiency and reducing human intervention.
Patent Information
- Application Number
- CN202310870049.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-07-14
- Publication Date
- 2026-02-24
- Estimated Expiration
- 2043-07-14
AI Technical Summary
The existing medical membrane calibration process requires manual intervention, which is cumbersome, time-consuming, and inefficient. Furthermore, operators need to frequently enter and exit the shielded room, affecting the calibration efficiency.
The medical membrane body is equipped with multiple membrane segments of different thicknesses along its extension direction. By using the relative movement between the imaging equipment and the examination table, the mapping relationship between the membrane segments and the X-ray exposure parameters is automatically obtained, thereby realizing automated membrane body calibration.
This reduces manual operation, improves calibration efficiency, avoids frequent entry and exit from the shielded room, and shortens calibration time.
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Figure CN116784871B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of medical imaging, in particular to a medical film body, a film body automatic correction method, a film body automatic correction system and a storage medium. BACKGROUND
[0002] In a medical imaging device (such as a digital subtraction angiography device), in order to reduce the patient's radiation dose as much as possible and obtain high-quality images, a set of optimal exposure parameters can be obtained by setting parameters of a medical film body according to the body thickness of the patient, and the medical film body usually adopts a water film. Specifically, in order to realize the water film parameter setting mode, water film correction needs to be performed first, so that the mapping relationship between the water film thickness and the loading parameters of the rays (such as X-rays) needs to be obtained.
[0003] At present, the correction of the water film is usually performed by means of manual participation, which requires manual replacement of the medical film body multiple times, manual positioning of the medical film body multiple times, and manual adjustment of the loading parameters of the rays multiple times. In the work of replacing the medical film body multiple times, the operator needs to frequently enter and exit the shielded room.
[0004] In summary, the current medical film body correction process needs manual participation, and the process is repetitive, tedious, time-consuming, and has low correction efficiency of the medical film body. SUMMARY
[0005] The present application provides a medical film body, a film body automatic correction method and system, and a storage medium, which can make the medical film body correction process automatic and improve the correction efficiency of the medical film body.
[0006] To solve the above technical problems, based on the first aspect of the present application, the present application provides a medical film body, which comprises a plurality of film segments along the extension direction of the medical film body, and the thickness of each film segment is different, and the film segments are used in an imaging device for ray imaging.
[0007] Optionally, the medical film body comprises a water film.
[0008] Optionally, the thickness of each film segment increases in turn along the extension direction of the medical film body.
[0009] Optionally, the thickness difference between each adjacent two film segments is equal.
[0010] Based on the second aspect of the present application, the present application further provides a film body automatic correction method, which is applied to a medical imaging system comprising an imaging device and an examination bed, and the film body automatic correction method comprises:
[0011] Position the medical film on the surface of the examination bed, and make the extension direction of the medical film parallel to the length direction of the examination bed.
[0012] Control the imaging device and the examination bed to generate relative motion, so that the imaging device is aligned with the film segments of different thicknesses each time;
[0013] After the imaging device is aligned with the film segments each time, control the imaging device to emit rays to pass through the aligned film segments, so as to obtain the mapping relationship between the thickness of the film segment and the exposure parameter of the rays based on the imaging of the rays.
[0014] Optionally, the film automatic correction method further comprises:
[0015] Capture the medical film to obtain an image signal, which reflects the position of the medical film relative to the imaging device and the thickness of the film segment;
[0016] Control the imaging device and the examination bed to generate relative motion according to the image signal.
[0017] Optionally, the film automatic correction method further comprises:
[0018] Correct the exposure parameter of the rays according to the mapping relationship corresponding to all the film segments, so as to obtain the optimal value of the exposure parameter of the rays.
[0019] Optionally, when the imaging device is configured based on the principle of digital subtraction angiography, the step of driving the imaging device and the examination bed to generate relative motion is to control at least one of the imaging device and the examination bed to move.
[0020] When the imaging device is configured based on the principle of computed tomography, the step of driving the imaging device and the examination bed to generate relative motion is to control the examination bed to move.
[0021] Optionally, the film automatic correction method further comprises:
[0022] Position at least two medical films on the surface of the examination bed, and arrange the at least two medical films along the width direction of the examination bed, and the thicknesses of the medical films are different.
[0023] Obtain the mapping relationship corresponding to each film segment in all the medical films along the width direction of the examination bed in sequence.
[0024] Based on the third aspect of the present application, the present application further provides a film body automatic correction system applied to a medical imaging system, wherein the medical imaging system comprises an imaging device and a couch, and the film body automatic correction system comprises:
[0025] a medical film body for positioning on a surface of the couch, wherein the medical film body comprises a plurality of film segments along a length direction of the couch, and each of the film segments has a different thickness;
[0026] a motion robot for connecting the imaging device and / or the couch;
[0027] a controller for controlling the motion robot to drive the imaging device and / or the couch to move so that the imaging device is aligned with different film segments each time, and controlling the imaging device to emit rays to pass through the aligned film segment;
[0028] a calculation unit for obtaining a mapping relationship between the thickness of the film segment and an exposure parameter of the rays according to the radiography of the rays.
[0029] Optionally, the film body automatic correction system further comprises a shooting unit for shooting the medical film body to form an image signal, wherein the image signal reflects the position of the medical film body relative to the imaging device and the thickness of the film segment.
[0030] The controller is configured to control the motion robot according to the image signal so that the motion robot drives the imaging device and / or the couch to move.
[0031] Optionally, the film body automatic correction system further comprises a correction unit configured to correct the exposure parameter of the rays according to the mapping relationship corresponding to all the film segments, so as to obtain an optimal value of the exposure parameter of the rays.
[0032] Optionally, the thickness of each film segment in the medical film body increases along the length direction of the couch in sequence, and the film segment with the smallest thickness is closer to the imaging device.
[0033] Based on the fourth aspect of the present application, the present application further provides a storage medium having a readable and writable program stored thereon, and the program is executed to implement the above-mentioned film body automatic correction method.
[0034] In this way, the medical film body is configured by multiple film segments, so that the thickness of each part of the medical film body is different, thereby obtaining a mapping relationship between the thickness of different film segments and the parameters of the rays, and further obtaining the optimal value of the loading parameters of the rays. The film body automatic correction method of the present application can generate relative movement between the imaging device and the examination bed, so that the imaging device and the previous film segment perform ray imaging to obtain the corresponding mapping relationship, and then the imaging device and the next film segment with different thicknesses can perform ray imaging to obtain the corresponding mapping relationship through the relative movement of the imaging device and the examination bed. The film body automatic correction method of the present application can automate the correction process of the medical film body, without the need for manual replacement of medical film bodies with different thicknesses, reducing the involvement of human labor, eliminating the need for human labor to frequently enter and exit the shielding room, avoiding the need for human labor to frequently replace and position the medical film body, reducing the correction time, and improving the correction efficiency.
[0035] It should be noted that the film body automatic correction system and the film body automatic correction method of the present application are based on the same inventive concept, and therefore have the beneficial technical effects brought by the film body automatic correction method, which will not be repeated here. BRIEF DESCRIPTION OF DRAWINGS
[0036] Those skilled in the art will understand that the provided drawings are for better understanding of the present application, and do not constitute any limitation on the scope of the present application. Among them:
[0037] Figure 1 is a schematic diagram of an existing medical imaging system;
[0038] Figure 2 is a schematic diagram of a medical film body according to an embodiment of the present application;
[0039] Figure 3 is a schematic diagram of a film body automatic correction method according to an embodiment of the present application.
[0040] In the drawings:
[0041] 10 - imaging device; 11 - C-arm; 12 - ray source; 13 - detector;
[0042] 20 - examination bed;
[0043] 30 - medical robot; 31 - mechanical arm;
[0044] 40 - medical film body; 41 - film segment. DETAILED DESCRIPTION
[0045] In order to make the objects, advantages and features of the present application more clearly, the following further describes the present application in conjunction with the drawings and specific embodiments. It should be noted that the drawings are very simplified and not drawn in proportion, and are only used to facilitate and clearly assist the purpose of describing the embodiments of the present application. In addition, the structures shown in the drawings are often a part of the actual structures. In particular, the emphasis shown in each drawing is different, and sometimes different proportions are used.
[0046] As used in the present application, the singular forms "a", "an" and "the" include plural referents unless the context clearly dictates otherwise. The term "or" is generally employed in its sense including "and / or" unless the context clearly dictates otherwise. The term "plurality" is generally employed in its sense including "at least one" unless the context clearly dictates otherwise. The term "at least two" is generally employed in its sense including "two or more" unless the context clearly dictates otherwise. In addition, the terms "first", "second", "third", etc. are used only for the purpose of description and should not be understood as indicating or implying relative importance or implying the number of the technical features indicated. Therefore, the features defined as "first", "second", "third" can explicitly or implicitly include one or at least two of the features. "One end" and "the other end" and "proximal end" and "distal end" generally refer to two parts corresponding to each other, which not only includes the end points, and the terms "mounting", "connecting", "connecting" should be understood broadly, for example, it can be fixedly connected, or detachably connected, or integrated; it can be mechanically connected, or electrically connected; it can be directly connected, or indirectly connected through an intermediate medium; it can be the internal connection of two elements or the interaction relationship between two elements. In addition, as used in the present application, a component disposed in another component generally only indicates that there is a connection, coupling, cooperation or transmission relationship between the two components, and the two components can be directly or indirectly connected, coupled, cooperated or transmitted through an intermediate component, and cannot be understood as indicating or implying the spatial positional relationship between the two components, i.e. one component can be in any orientation inside, outside, above, below or one side of another component, unless the content clearly indicates otherwise. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.
[0047] Figure 1 is a schematic view of the existing medical imaging system. Referring to Figure 1The medical imaging system includes an imaging device 10 and an examination bed 20. The examination bed 20 is generally placed horizontally and serves as a carrier for the patient. The imaging device 10 emits radiation to the lesion site of the patient located on the examination bed 20. The radiation passes through the patient, and imaging processing is performed based on the radiation to obtain an image of the lesion site for the doctor to diagnose and treat. The imaging device 10 in this embodiment is not limited, and can be, for example, a digital subtraction angiography (DSA) device, a CT device, a PET-CT device, or an RT device.
[0048] For example, see further. Figure 1 The imaging device 10 is a DSA device, which can be used in angiography, cardiology, and neurology. The DSA device includes a C-arm 11 and radiation sources 12 and detectors 13 located at opposite ends of the C-arm 11, with the radiation sources 12 and detectors 13 aligned. Understandably, the radiation source 12 is a device capable of emitting X-rays, gamma rays, or electron beams, and the detector 13 is a device capable of receiving the radiation emitted by the radiation source 12. The cooperation of the radiation source 12 and detector 13 enables medical examinations or treatments. In one embodiment, the radiation source 12 includes an X-ray tube capable of emitting radiation (such as X-rays), and the detector 13 can be a flat panel detector 13. The radiation emitted by the X-ray tube passes through the patient located on the examination table 20 and is received by the detector 13 for imaging processing.
[0049] Furthermore, the medical imaging system also includes a medical robot 30. The C-arm 11 is connected to the robotic arm 31 of the medical robot 30. Under the action of the robotic arm 31, the C-arm 11 can move and rotate within a spatial range, giving the imaging device 10 a higher degree of freedom. In one embodiment, the medical robot 30 is a six-axis robot.
[0050] Typically, medical imaging systems need to adjust the exposure parameters of X-rays to optimal values before scanning a patient to obtain better quality images of lesions. This adjustment is usually achieved using a medical membrane 40. The medical membrane 40 can be made of polymethyl methacrylate (PMMA) and can be equivalent to the thickness of different parts of the patient's body. Preferably, the medical membrane 40 is made of water, which is closer to the density of the human body. Based on this, this embodiment proposes an automatic membrane correction method based on the principle of using a medical membrane to correct the exposure parameters of X-rays, which is applied to a medical imaging system. Figure 2 This is a schematic diagram of a medical membrane according to an embodiment of the present invention. (See attached diagram.) Figure 2 In this embodiment, the medical membrane 40 includes multiple membrane segments 41 along its extension direction, and each membrane segment 41 has a different thickness. The membrane segments 41 are used for medical examinations involving X-ray imaging. (See also...)Figure 1 and Figure 2 The medical membrane 40 is positioned on the surface of the examination bed 20 of the medical imaging system, and the extension direction of the medical membrane 40 is parallel to the length direction of the examination bed 20. It can also be understood that the medical membrane 40 includes multiple membrane segments 41 along the length direction of the examination bed 20, and the thickness of each membrane segment 41 is different. It can be understood that the length direction of the examination bed 20 is also the direction in which the examination bed 20 and the imaging device 10 move, and the thickness of the membrane segment 41 is also the dimension of the membrane segment 41 in the direction perpendicular to the examination bed 20. Figure 3 This is a schematic diagram of an embodiment of the automatic membrane correction method of the present invention, see reference. Figure 2 The automatic membrane correction method includes steps S0, S1, S2 and S3, and S1, S2 and S3 are described in detail below.
[0051] S0: The medical membrane 40 is positioned on the surface of the examination bed 20, and the extension direction of the medical membrane 40 is parallel to the length direction of the examination bed 20, so that the various membrane segments 41 of the medical membrane 40 are arranged sequentially along the length direction of the examination bed 20.
[0052] It should be noted that the process of placing the medical membrane 40 on the surface of the examination bed 20 can be done manually or by controlling a robot.
[0053] S1: Control the imaging device 10 and the examination bed 20 to generate relative movement along the length direction of the examination bed 20, so that the imaging device 10 is aligned with the film segment 41 of different thicknesses each time.
[0054] For example, see Figure 1 and Figure 2 The imaging device 10 and the examination bed 20 are controlled to generate relative motion, so that the examination bed 20 gradually enters the C-shaped arm 11, and the upper membrane segment 41 of the examination bed 20 is located exactly in the direction of the line connecting the two ends of the C-shaped arm 11, so that the rays emitted by the X-ray source 12 can be received by the detector 13 after passing through the membrane segment 41. The relative motion between the imaging device 10 and the examination bed 20 can be achieved by a robot, with the robot connected to at least one of the imaging device 10 and the examination bed 20, so that the robot can drive at least one of the imaging device 10 and the examination bed 20 to move.
[0055] It should be noted that the method of controlling the relative movement of the imaging device 10 and the examination table 20 may differ depending on the imaging device 10. For example, when the imaging device 10 is configured based on the principle of digital subtraction angiography (i.e., the imaging device 10 is a DSA device), the step of driving the relative movement between the imaging device 10 and the examination table 20 is: controlling the movement of at least one of the imaging device 10 and the examination table 20; when the imaging device 10 is configured based on the principle of computed tomography (i.e., the imaging device is a CT device or a PET-CT device), considering that the gantry of the CT device is heavy and large, the step of driving the relative movement between the imaging device 10 and the examination table 20 in this embodiment is: controlling the movement of the examination table 20.
[0056] Preferably, the step of controlling the relative motion between the imaging device 10 and the examination table 20 in the automatic membrane correction method is as follows:
[0057] An image signal is obtained by photographing the medical membrane 40. The image signal reflects the position of the medical membrane 40 relative to the imaging device 10 and the thickness of the membrane segment 41. For example, a camera can be set to photograph the medical membrane 40.
[0058] The imaging device 10 and the examination bed 20 are controlled to generate relative motion based on the image signal.
[0059] In this way, the position of the medical membrane 40 relative to the examination bed 20 and the thickness of each membrane segment 41 in the medical membrane 40 can be obtained from the image of the medical membrane 40, so as to precisely move the examination bed 20 so that the membrane segments 41 of different thicknesses are exactly located between the line connecting the radiation source 12 and the detector 13.
[0060] S2: After each alignment of the imaging device 10 with the film segment 41, the imaging device 10 is controlled to emit rays to pass through the aligned film segment 41, thereby obtaining the mapping relationship between the thickness of the film segment 41 and the exposure parameters of the rays based on the ray imaging.
[0061] For example, after the upper membrane segment 41 of the examination bed 20 is positioned exactly in the direction of the line connecting the two ends of the C-shaped arm 11, the X-ray source 12 is controlled to emit X-rays that pass through the membrane segment 41. The X-rays are then received by the detector 13 and imaged, allowing the mapping relationship between the thickness of the membrane segment 41 and the exposure parameters of the X-rays to be calculated. After each membrane segment 41 is scanned and imaged, the mapping relationship between each membrane segment 41 and the exposure parameters is obtained.
[0062] S3: The exposure parameters of the X-ray are corrected according to the mapping relationship corresponding to all membrane segments 41, thereby obtaining the optimal value of the X-ray exposure parameters. In this way, the patient can be subjected to X-ray loading using the optimal exposure parameters obtained after correction of the exposure parameters by the medical membrane 40, thereby obtaining high-quality medical images and facilitating clinical diagnosis by doctors.
[0063] Based on the above-described automatic membrane correction method, this embodiment also provides a storage medium storing a readable and writable program that, when executed, enables the automatic membrane correction method described above. Specifically, the automatic membrane correction method provided by this invention can be programmed or software and stored on the readable storage medium. In practical use, the program stored on the readable storage medium is used to execute each step of the automatic membrane correction method. This readable storage medium can be integrated into a medical imaging system or independently installed in other hardware. For example, the program can be stored in a motion robot, driving the robot to move the imaging device 10 and the examination table 20 relative to each other, and can also be used to control the radiation source 12's radiation delivery operation.
[0064] The thickness of the medical membrane 40 can be equivalent to the thickness of the patient's body, and the thickness of the medical membrane 40 can be defined as the equivalent thickness of the patient's body. In the prior art, the process of correcting exposure parameters using the medical membrane 40 is roughly as follows: Keeping the examination bed 20 and the imaging device 10 relatively stationary, a medical membrane 40 is placed on the examination bed 20, and after correcting its position and adjusting the X-ray exposure parameters, an X-ray imaging operation is performed to obtain the first mapping relationship between the equivalent thickness and the exposure parameters; then, a second medical membrane 40 is superimposed to obtain the second mapping relationship between the equivalent thickness (i.e., the sum of the thicknesses of the two medical membranes 40) and the exposure parameters; then, a third medical membrane 40 is superimposed to obtain the third mapping relationship between the equivalent thickness (i.e., the sum of the thicknesses of the three medical membranes 40) and the exposure parameters; and so on. Several medical membranes 40 are superimposed in this manner to obtain different mapping relationships between the equivalent thickness and the exposure parameters, and finally, the exposure parameters are corrected to obtain the optimal value. In existing technologies, the calibration of the medical membrane 40 is usually performed manually, requiring multiple manual replacements of the superimposed medical membrane 40, multiple manual repositioning of the medical membrane 40, and multiple manual adjustments to the radiation exposure parameters. The frequent replacements of the medical membrane 40 necessitate operators to frequently enter and exit the shielding room, consuming significant manpower and time, resulting in low calibration efficiency.
[0065] In this invention, the medical membrane 40, through the configuration of multiple membrane segments 41, allows for different thicknesses in different parts of the medical membrane 40, i.e., different equivalent thicknesses for the patient. Relative movement can occur between the imaging device 10 and the examination bed 20. This allows the imaging device 10 to obtain a corresponding mapping relationship with the previous membrane segment 41 through X-ray imaging, and subsequently, through the relative movement of the imaging device 10 and the examination bed 20, to obtain a corresponding mapping relationship with the next membrane segment 41 of different thicknesses through X-ray imaging. The automatic membrane calibration method of this invention automates the calibration process of the medical membrane 40, eliminating the need for manual replacement of medical membranes 40 of different thicknesses, manual layering of the medical membrane 40 thickness, reducing manual intervention, and eliminating the need for frequent manual entry and exit from the shielding room. This avoids frequent manual replacement and repositioning of the medical membrane 40, reduces calibration time, and improves calibration efficiency.
[0066] Preferably, the thickness of each membrane segment 41 in the medical membrane body 40 increases sequentially along the length of the examination bed 20. Figure 2 As shown, for example, the thickness increases by h each time, so the medical membrane 40 is stepped along the length of the examination bed 20, and the membrane segment 41 with the smallest thickness is closer to the imaging device 10. Preferably, the thickness difference between any two adjacent membrane segments 41 along the length of the examination bed 20 is equal (i.e., the thickness difference is h).
[0067] In the prior art, the dimensions of the medical membrane 40 are generally 40cm*40cm*3cm. Each time a medical membrane 40 is stacked, the equivalent thickness of the patient's body increases by 3cm. For example, in this embodiment, the medical membrane 40 has a length of 100cm along the examination bed 20 and a width of 40cm. The medical membrane 40 is divided into five membrane segments 41 along the length of the examination bed 20, each segment 41 being 20cm long. Figure 2 As shown, that is, L is 20cm), the thickness difference between two adjacent membrane segments 41 is 3cm. Figure 2 As shown, that is, h is 3cm), for every 20cm relative movement between the imaging device 10 and the examination bed 20, the equivalent thickness increases by 3cm.
[0068] Preferably, before step S3, the automatic membrane calibration method further includes:
[0069] At least two medical membranes 40 are positioned on the surface of the examination bed 20, and the at least two medical membranes 40 are arranged along the width direction of the examination bed 20, and the thickness of each medical membrane 40 is different (that is, the thickness of the membrane segment 41 of each medical membrane 40 is different).
[0070] The mapping relationship corresponding to each membrane segment 41 in all medical membrane bodies 40 is obtained sequentially along the width direction of the examination bed 20. Preferably, each medical membrane body 40 is stepped, and the thickness difference between the thinnest membrane segment 41 in the later scan and the thickest membrane segment 41 in the previous scan is the thickness that needs to be superimposed between adjacent membrane segments 41. For example, if the thickness of each superimposed membrane segment 41 in the same medical membrane body 40 is 3cm, then the thickness difference between the thinnest membrane segment 41 in the later scan and the thickest membrane segment 41 in the previous scan is 3cm.
[0071] Specifically, the imaging device 10 and the examination bed 20 first acquire the mapping relationship of each membrane segment 41 in the first medical membrane 40 along the length direction of the examination bed 20. Then, the imaging device 10 and the examination bed 20 move relative to each other along the width direction, so that the second medical membrane 40 is located in the direction of the X-ray source 12 and the detector 13. Then, the imaging device 10 and the examination bed 20 move relative to each other along the length direction to acquire the mapping relationship of each membrane segment 41 in the second medical membrane 40. This process is repeated for the third, fourth, and all medical membranes 40. On the one hand, this allows for the acquisition of a large amount of data on the mapping relationship, resulting in more accurate optimal values for the corrected exposure parameters. On the other hand, once a medical membrane 40 has been scanned, the operator does not need to enter the shielded room to replace another medical membrane 40. The operator only needs to position each medical membrane 40 on the examination bed 20 at the beginning of the scan, without needing to replace the medical membrane 40 midway. Understandably, given the limitations of the scanning bed width and the number of medical membranes 40, the width of the medical membrane 40 will be reduced.
[0072] Based on the same inventive concept as the automatic membrane correction method, this embodiment also provides an automatic membrane correction system applied to a medical imaging system. The medical imaging system includes an imaging device 10 and an examination bed 20. The automatic membrane correction system includes a medical membrane 40 (e.g., a water membrane), a motion robot, a controller, and a computing unit. The medical membrane 40 is positioned on the surface of the examination bed 20. The medical membrane 40 includes multiple membrane segments 41 along the length of the examination bed 20, and each membrane segment 41 has a different thickness. The motion robot is used to connect at least one of the imaging device 10 and the examination bed 20. The controller is used to control the motion robot to drive at least one of the imaging device 10 and the examination bed 20 to move, so that the imaging device 10 aligns with different membrane segments 41 each time, and controls the imaging device 10 to emit rays to pass through the aligned membrane segments 41. The computing unit is used to obtain the mapping relationship between the thickness of the membrane segment 41 and the exposure parameters of the rays based on the ray imaging.
[0073] Furthermore, the automatic membrane alignment system also includes an imaging unit, which is used to capture images of the medical membrane 40 to form an image signal. The image signal reflects the position of the medical membrane 40 relative to the imaging device 10 and the thickness of the membrane segment 41. The controller controls the motion robot according to the image signal so that the motion robot drives the imaging device 10 and the examination bed 20 to move, thereby aligning the imaging device 10 with the membrane segment 41.
[0074] Furthermore, the automatic membrane correction system also includes a correction unit, which is configured to correct the exposure parameters of the X-rays according to the mapping relationship corresponding to all membrane segments 41, thereby obtaining the optimal value of the exposure parameters of the X-rays. Subsequently, the imaging device 10 is controlled to perform the X-ray laying operation with the optimal exposure parameters, thereby performing X-ray imaging processing on the lesion site of the patient.
[0075] It should be noted that those skilled in the art can understand the automatic membrane calibration system described above based on the description of the automatic membrane calibration method, and will not be described in detail here.
[0076] While the present invention has been disclosed above with reference to preferred embodiments, these embodiments are not intended to limit the invention. For any person skilled in the art, many possible variations and modifications can be made to the technical solutions of the present invention based on the disclosed technical content, or equivalent embodiments can be modified accordingly, without departing from the scope of the present invention. Therefore, any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention, without departing from the content of the present invention, shall still fall within the scope of protection of the present invention.
Claims
1. An automatic membrane correction method, applied to a medical imaging system, the medical imaging system comprising an imaging device and an examination table, characterized in that, The automatic membrane correction method includes: The medical membrane is positioned on the surface of the examination bed, with the extension direction of the medical membrane parallel to the length direction of the examination bed. The medical membrane includes multiple membrane segments along its extension direction, and each membrane segment has a different thickness. The membrane segments are used for imaging equipment to perform X-ray imaging. The imaging device and the examination bed are controlled to generate relative movement so that the imaging device is aligned with the membrane segment of different thicknesses each time; Each time the imaging device is aligned with the film segment, it controls the imaging device to emit rays to pass through the aligned film segment, and controls the imaging device to receive the rays passing through the film segment for imaging processing, thereby obtaining the mapping relationship between the thickness of the film segment and the exposure parameters of the rays.
2. The automatic membrane calibration method according to claim 1, characterized in that, The automatic membrane correction method further includes: An image signal is obtained by photographing the medical membrane, the image signal reflecting the position of the medical membrane relative to the imaging device and the thickness of the membrane segment; The imaging device and the examination bed are controlled to generate relative motion based on the image signal.
3. The automatic membrane calibration method according to claim 1, characterized in that, The automatic membrane correction method further includes: The exposure parameters of the ray are corrected according to the mapping relationship corresponding to all the film segments, so as to obtain the optimal value of the exposure parameters of the ray.
4. The automatic membrane calibration method according to claim 1, characterized in that, The automatic membrane correction method further includes: At least two medical membranes are positioned on the surface of the examination bed, and the at least two medical membranes are arranged along the width direction of the examination bed, and the thickness of any segment of each medical membrane is different from the thickness of any segment of the other medical membranes. The mapping relationship corresponding to each membrane segment in all the medical membranes is obtained sequentially along the width direction of the examination bed.
5. An automatic membrane correction system, applied to a medical imaging system, the medical imaging system comprising an imaging device and an examination table, characterized in that, The automatic membrane correction system includes: A medical membrane body is used to be placed on the surface of the examination bed, and the medical membrane body includes multiple membrane segments along the length direction of the examination bed, and each membrane segment has a different thickness. A motion robot for connecting the imaging device and / or the examination bed; A controller is used to control the motion robot to drive the imaging device and / or the examination bed to move so that the imaging device is aligned with a different membrane segment each time, and to control the imaging device to emit rays to pass through the aligned membrane segment; A calculation unit is used to obtain a mapping relationship between the thickness of the film segment and the exposure parameters of the rays based on the ray imaging.
6. The automatic membrane correction system according to claim 5, characterized in that, The medical membrane includes an aqueous membrane.
7. The automatic membrane correction system according to claim 5, characterized in that, The thickness of each membrane segment increases sequentially along the extension direction of the medical membrane body, which is parallel to the length direction of the examination bed.
8. The automatic membrane correction system according to claim 7, characterized in that, The thickness difference between any two adjacent membrane segments is equal.
9. A storage medium having a readable and writable program stored thereon, characterized in that, When the program is executed, it implements the automatic membrane correction method as described in any one of claims 1-4.
Citation Information
Patent Citations
Phantom applied to bone mineral density measurement of X-ray imaging equipment and X-ray imaging equipment
CN111481225A
Bone mineral density correction and measurement method based on DR system
CN113491526A
X-ray diagnostic imaging apparatus
JP2010075555A
Methods and apparatus for Determining Proportions of Body Materials
US20090076382A1