Parameter optimization method and device, medical equipment, medium and product

Abstract

The invention relates to a parameter optimization method and device, medical equipment, a medium and a product. The parameter optimization method comprises the following steps: acquiring an initial exposure parameter to be used by the medical equipment for exposure; obtaining contour information of a to-be-detected object and initial relative position information of the to-be-detected object relative to the inspection part; at least based on the initial relative position information and the contour information of the to-be-detected object and the real-time position information of the inspection part, the estimated attenuation amount of rays penetrating through the to-be-detected object is determined, and the estimated attenuation amount is used for representing the attenuation degree of the rays from the ray source after penetrating through the to-be-detected object. The real-time position information of the inspection component is the position information of the inspection component acquired in real time; and updating the initial exposure parameter based on the estimated attenuation amount. According to the embodiment of the invention, the exposure frequency can be reduced, and the operation process and efficiency are improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of medical devices, and in particular to a parameter optimization method and parameter optimization device for medical equipment, medical equipment, a computer-readable storage medium, and a computer program product. Background Art

[0002] Exposure parameter adjustment is one of the important links in the workflow of medical equipment, such as medical X-ray imaging equipment. This is because the exposure parameters will affect, for example, the radiation dose and image quality of the medical X-ray imaging equipment. Selecting appropriate exposure parameters is not only conducive to optimizing image quality for diagnosis, but also can prevent the object to be tested from being exposed to excessive X-ray radiation.

[0003] However, in some cases, the medical equipment cannot obtain the attenuation of the object to be tested in the exposure path, resulting in the inability to adjust the preset exposure curve to the exposure parameters that can achieve the diagnosis purpose. In this case, the operator has to perform multiple exposures to obtain multiple medical images, and adjust the previously set exposure parameters based on experience according to the image quality of the multiple medical images actually obtained. This not only increases the number of invalid exposures, resulting in a waste of resources, but also causes the object to be tested to be exposed to excessive X-ray radiation.

[0004] The methods described in this section are not necessarily methods that have been previously conceived or employed. Unless otherwise indicated, it should not be assumed that any method described in this section is considered to be prior art simply because it is included in this section. Similarly, unless otherwise indicated, the issues mentioned in this section should not be considered to have been recognized in any prior art. Summary of the invention

[0005] According to a first aspect of the present disclosure, a parameter optimization method for a medical device is proposed, wherein the medical device includes an inspection component, the inspection component includes a radiation source and a detector for receiving radiation emitted by the radiation source, and the parameter optimization method includes: obtaining initial exposure parameters to be used by the medical device for exposure; obtaining contour information of an object to be measured and initial relative position information of the object to be measured relative to the inspection component; determining an estimated attenuation of radiation passing through the object to be measured based at least on the initial relative position information and contour information of the object to be measured and the real-time position information of the inspection component, the estimated attenuation being used to characterize the degree of attenuation of radiation from the radiation source after passing through the object to be measured, the real-time position information of the inspection component being the position information of the inspection component obtained in real time; and updating the initial exposure parameters based on the estimated attenuation.

[0006] According to a second aspect of the present disclosure, a parameter optimization device for a medical device is proposed, wherein the medical device includes an inspection component, the inspection component includes a radiation source and a detector for receiving radiation emitted by the radiation source, and the parameter optimization method includes: a first acquisition module, the first acquisition module is configured to acquire initial exposure parameters to be used by the medical device for exposure; a second acquisition module, the second acquisition module is configured to acquire contour information of an object to be measured and initial relative position information of the object to be measured relative to the inspection component; a determination module, the determination module is configured to determine an estimated attenuation amount of radiation passing through the object to be measured based on at least the initial relative position information and contour information of the object to be measured and the real-time position information of the inspection component, the estimated attenuation amount being used to characterize the attenuation degree of radiation from the radiation source after passing through the object to be measured, and the real-time position information of the inspection component is the position information of the inspection component acquired in real time; and an update module, the update module is configured to update the initial exposure parameters based on the estimated attenuation amount.

[0007] According to a third aspect of the present disclosure, a medical device is proposed, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program, and the computer program implements the parameter optimization method according to the present disclosure when executed by the at least one processor.

[0008] According to a fourth aspect of the present disclosure, a non-transitory computer-readable storage medium storing a computer program is proposed, wherein the computer program implements the parameter optimization method according to the present disclosure when executed by a processor.

[0009] According to a fifth aspect of the present disclosure, a computer program product is proposed, comprising a computer program, wherein the computer program implements the parameter optimization method according to the present disclosure when executed by a processor.

[0010] According to one or more embodiments of the present disclosure, the estimated attenuation of the object to be tested for the rays passing through it is determined based on the contour information of the object to be tested, the initial relative position relative to the inspection component, and the real-time position of the inspection component, so as to update the initial exposure parameters. On the one hand, more accurate initial exposure parameters can be determined based on the actual situation of the object to be tested in the medical device, so as to reduce the number and time of invalid shooting performed by the operator in order to adjust the exposure parameters, thereby improving the process and efficiency of operating the medical device. On the other hand, the possibility of multiple exposures for patients can be reduced, so as to avoid excessive exposure of patients to radioactive rays. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] The embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings, so that those skilled in the art can better understand the above and other features and advantages of the present disclosure. In the accompanying drawings:

[0012] Figure 1 is a flow chart of a parameter optimization method for a medical device according to some exemplary embodiments of the present disclosure;

[0013] Figure 2a and Figure 2b Schematic diagrams of virtual system models according to some exemplary embodiments of the present disclosure are shown from different angles respectively;

[0014] Figure 3 is a schematic block diagram of a parameter optimization apparatus for a medical device according to some exemplary embodiments of the present disclosure; and

[0015] Figure 4 An example configuration of an electronic device is shown that may be used to implement the methods described herein. DETAILED DESCRIPTION

[0016] In order to have a clearer understanding of the technical features, purposes and effects of the present disclosure, specific embodiments of the present disclosure are now described with reference to the accompanying drawings, in which the same reference numerals represent the same parts.

[0017] In this document, “exemplary” means “serving as an example, instance or illustration”, and any diagram or implementation described in this document as “exemplary” should not be interpreted as a more preferred or more advantageous technical solution.

[0018] In order to simplify the drawings, only the parts related to the present disclosure are schematically shown in each figure, and they do not represent the actual structure of the product. In addition, in order to simplify the drawings and facilitate understanding, in some figures, only one of the parts with the same structure or function is schematically drawn or marked.

[0019] In this article, "one" not only means "only one", but also means "more than one". In this article, "first", "second", etc. are only used to distinguish each other, rather than to indicate their importance and order, or the premise of each other's existence.

[0020] As a kind of medical equipment, X-ray imaging equipment uses an X-ray generator to emit X-rays. The X-ray generator includes an X-ray tube (such as a bulb) and a high-voltage generator. The X-ray tube usually includes an anode target and a cathode. The cathode filament can be energized to generate thermal electrons. Driven by the high voltage between the cathode and the anode, the electrons move at high speed and hit the anode target surface, radiating and generating X-rays, which are emitted through the window. When the X-ray tube is running, the object to be tested is exposed to X-rays. Using X-rays, the operator can irradiate any part to be examined, and then generate an image through film or imaging devices. X-rays penetrate the target or human body and attenuate during the whole process. "Dose" is used to measure the amount of relevant radiation at a certain measurement point, and its unit is Gray (Gy) or micro Gray μGy. "Incident dose" refers to the dose of the ray reaching the surface of the object (the surface of the object to be tested). "Exit dose" refers to the dose of the ray leaving the surface of the object (the surface of the object to be tested) directly close to the surface. "Absorbed dose" refers to the dose absorbed by an object (such as the object to be tested) after the ray passes through it, and represents the attenuation degree of the ray passing through the object. "Water value" simulates the object (such as the object to be tested) as a virtual water column, which is used to represent the degree of absorption (i.e. attenuation degree) of the ray passing through the object, and can be determined based on the thickness or extension of the part of the object in the ray path.

[0021] Exposure parameters may include, for example, tube voltage (or exposure voltage, unit kV), tube current (or exposure current, unit mA), exposure time (or expressed as exposure pulse width, unit s or ms), and exposure milliampere seconds (i.e., the product of tube current and exposure time, unit mAs). Tube voltage may refer to the voltage output by a high-voltage generator to the X-ray tube, which characterizes the penetrating power of X-rays emitted by the X-ray tube. The higher the tube voltage, the greater the kinetic energy obtained by the electrons emitted by the cathode of the X-ray tube, and the greater the energy (i.e., penetrating power) of the generated X-rays. Tube current may refer to the current output by a high-voltage generator to the X-ray tube, which characterizes the number of X-rays emitted by the X-ray tube. The greater the tube current, the more electrons are emitted by the cathode of the X-ray tube, the more electrons hit the anode target surface per second, and thus the more X-rays are generated. Exposure pulse width is used to describe the pulse width of X-rays emitted by the X-ray tube.

[0022] The exposure curve is used to describe the exposure parameters of each exposure point used by the X-ray tube during operation, wherein the exposure point corresponds to the exposure dose of the X-ray tube, and the exposure dose is related to the tube voltage, tube current, and exposure time of the X-ray tube. The exposure curve includes one or more of the following curves: voltage curve, current curve, time curve (or pulse width curve), and milliampere-second curve. The horizontal axis of the voltage curve, current curve, time curve, and milliampere-second curve represents different exposure points, and the vertical axis is used to describe the voltage value, current value, time value, or milliampere-second value of the exposure, respectively. The exposure curve is usually a curve calibrated before the medical device leaves the factory.

[0023] Exposure parameter adjustment is one of the important links in the workflow of, for example, an X-ray imaging device. Selecting reasonable and appropriate exposure parameters is not only conducive to image quality optimization diagnosis, but also can avoid patients from being exposed to excessive X-ray radiation. In the related art, dose adjustment according to a preset exposure curve is the main method to prompt medical equipment (e.g., X-ray imaging equipment) to find suitable exposure parameters (e.g., enabling the average grayscale value of the image to reach the target value). Specifically, in the actual use of medical equipment, there are many different interventional imaging technologies, patients with different conditions, and various different parts of the patient to be measured. In order to obtain the best image quality during the image shooting of the patient, an imaging protocol is usually preset for the user in the medical imaging system, and the user can manually select the imaging protocol. There are multiple imaging protocols predefined for different imaging parts, patient sizes, and patient positions. These imaging protocols are usually related to the operating parameters to be implemented by the control device of the medical imaging system, such as the frame rate of the X-ray generator, radiation dose, noise processing, and signal post-processing, so that the user can provide the clearest image shooting mode based on the target part of the patient that needs to be shot at present. This imaging protocol is also called "Organ Program (OGP)" in medical imaging systems. In actual use, generally, the medical equipment operator can select the corresponding organ program (OGP) according to the organ / part to be detected, the patient's body shape and body position (such as frontal or lateral position) through a human-computer interaction device (such as a touch screen, keyboard, mouse, etc.), so that the medical equipment can automatically determine the expected X-ray dose corresponding to the organ / part based on the preset exposure curve corresponding to the organ program, and determine the tube voltage value, tube current value, exposure time length, etc. of the X-ray tube. Then, the X-ray imaging device can usually adjust the exposure parameters through a double exposure method. For example, first, a short pre-exposure is performed to adjust the dose according to the preset exposure curve to obtain a more suitable exposure parameter, and then the exposure is performed using the exposure parameter. Alternatively, the patient can be exposed multiple times, and the accurate absorbed dose of the part to be detected can be determined based on the quality of the images obtained by the multiple exposures, so as to update the exposure parameters.

[0024] However, the above situation may cause the operator to perform multiple re-exposures, spend more operation time, and cause the object to be tested to suffer excessive radiation dose.

[0025] The present disclosure determines the estimated attenuation of the object to be tested for the rays passing through it based on the contour information of the object to be tested, its initial relative position relative to the inspection component, and the real-time position of the inspection component, so as to update the initial exposure parameters. On the one hand, more accurate initial exposure parameters can be determined according to the actual situation of the object to be tested in the medical device, so as to reduce the number and time of invalid shooting performed by the operator in order to adjust the exposure parameters, thereby improving the process and efficiency of operating the medical device. On the other hand, the possibility of multiple exposures for patients can be reduced, so as to avoid excessive exposure of patients to radioactive rays.

[0026] Exemplary embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.

[0027] Figure 1 Flowchart of parameter optimization method 1000 for medical equipment according to some exemplary embodiments of the present disclosure. The medical equipment may be an X-ray imaging device (e.g., a C-arm X-ray imaging device, etc.). The medical equipment may include an inspection component. The inspection component may include a radiation source (e.g., an X-ray tube), a detector for receiving radiation emitted by the radiation source, or an inspection bed, etc. The object to be measured may be located on the inspection bed, and the radiation from the radiation source will pass through the object to be measured and the inspection bed to reach the detector and be received by the detector. The radiation source, the detector, and the inspection bed may be moved during actual use so as to be adjusted to a suitable position so that the radiation from the radiation source can pass through the target part to be measured of the object to be measured. Figure 1 As shown, the parameter optimization method 1000 may include:

[0028] Step S101, obtaining initial exposure parameters to be used by the medical device for exposure;

[0029] Step S102, obtaining contour information of the object to be measured and initial relative position information of the object to be measured relative to the inspection component;

[0030] Step S103, determining an estimated attenuation of the ray passing through the object to be measured based at least on the initial relative position information and contour information of the object to be measured and the real-time position information of the inspection component; and

[0031] Step S104: Update initial exposure parameters based on the estimated attenuation.

[0032] In step S101, initial exposure parameters to be used by the medical device for exposure are obtained.

[0033] Among them, "exposure" can refer to any exposure performed by a medical device. For example, "exposure" can be an exposure performed on a patient based on a selected organ program, in which case the exposure parameters determined according to a preset exposure curve selected for the organ program are the initial exposure parameters. For another example, "exposure" can also be the second exposure after the first exposure, in which case the exposure parameters at the end of the first exposure are the initial exposure parameters. In some examples, the initial exposure parameters may include one or more of an initial exposure voltage, an initial exposure current, an initial exposure pulse width, and the like.

[0034] In step S102, the contour information of the object to be measured and the initial relative position information of the object to be measured relative to the inspection component are obtained.

[0035] Among them, the object to be tested is, for example, a human body. The part to be tested of the object to be tested may refer to the part of the human body to be subjected to radiographic examination, such as a hand, a leg, a chest, etc. For example, an image including an inspection component and an object to be tested may be collected by a sensor attached to a ray source (e.g., a camera such as a 3D camera or a depth camera, or a laser scanner) or an additional sensor placed independently of the ray source (e.g., arranged on the wall of the inspection room) so as to obtain contour information of the object to be tested and the initial relative position information of the object to be tested relative to the inspection component from the image. The initial relative position information of the object to be tested relative to the inspection component may also be measured by other sensors, such as sensors arranged on the inspection component. The initial relative position of the object to be tested relative to the inspection component refers to the relative position information of the object to be tested relative to the inspection component at the beginning (i.e., after the object to be tested lies in an appropriate position on the inspection bed and no longer moves, i.e., after the fixed position) obtained. In some examples, the initial relative position information of the object to be measured relative to the inspection component may be the relative position information of the object to be measured relative to the radiation source and / or the detector (for example, relative position coordinates or other relative position relationships), or may be the relative position information of the object to be measured relative to the inspection bed. The above relative position relationships can all reflect the relative position relationship of the object to be measured relative to each inspection component (because the position of each inspection component itself will also be acquired).

[0036] After obtaining the initial relative position information of the object to be measured relative to the inspection component, the relative position of the object to be measured and the inspection component in, for example, a virtual system model (described in detail below) can be updated based on the initial position information of the inspection component (i.e., corresponding to the initial relative position information of the object to be measured relative to the inspection component) and / or the real-time position information after movement, so that the virtual system model can reflect the actual relative position of the two, so as to facilitate the determination of the estimated attenuation amount.

[0037] In step S103, the estimated attenuation of the ray passing through the object to be measured is determined based on at least the initial relative position information and contour information of the object to be measured and the real-time position information of the inspection component.

[0038] The real-time position information of the inspection component is the position information of the inspection component obtained in real time. Since the inspection component can adjust its own position as needed, the medical device needs to obtain the position information of the inspection component in real time, so as to update the position of each virtual component model in, for example, the virtual system model, thereby ensuring that the relative position relationship between the object to be tested and the inspection component in the virtual system model is accurate. The real-time position information of the inspection component can be the position information of the inspection component obtained at the time of executing step S103, or it can be the position information of the inspection component obtained at the same time as executing step S102. In short, the real-time position information of the inspection component can reflect the latest position information of the inspection component at the time of executing step S103 (it may change based on the initial position of the inspection component, or it may remain consistent with the initial position), so that, for example, the virtual system model can reflect the actual relative position of the object to be tested and the inspection component, that is, the relative position fixed for exposure.

[0039] The estimated attenuation is used to characterize the attenuation degree of the radiation from the radiation source after passing through the object to be measured, which is related to, for example, the thickness of the part of the object to be measured in the ray path (and the absorption characteristics of the part for the radiation). The ray path is the path that the radiation must pass from the ray source to the detector. Figure 2a and Figure 2b The ray path 230 shown. The estimated attenuation can be expressed by the equivalent water value of the portion of the object to be measured in the ray path, or it can be directly expressed by parameters such as the size information (for example, thickness or volume, etc.) of the portion of the object to be measured in the ray path. It should be understood here that the estimated attenuation can also refer to other quantities used to characterize the degree of attenuation of the rays from the ray source after passing through the object to be measured. Therefore, the size information (specifically, thickness) of the portion of the object to be measured in the ray path can be determined through the initial relative position information and contour information of the object to be measured and the real-time position information of the inspection component, which can be directly used as the estimated attenuation or converted into an equivalent water value to serve as the estimated attenuation.

[0040] In some examples, a corresponding mathematical model (e.g., formula) or geometric model (two-dimensional model or three-dimensional model) can be constructed based on the initial relative position information and contour information of the object to be tested and the real-time position information of the inspection component, and the size information of the part of the object to be tested in the ray path can be determined from the relative position relationship between the part to be tested of the object to be tested and the ray path reflected by the above model. The size information can be directly used as the estimated attenuation, or at least the estimated water value can be determined based on the size information.

[0041] In step S104, the initial exposure parameters are updated based on the estimated attenuation amount.

[0042] The estimated attenuation is used to characterize the attenuation degree of the radiation from the radiation source after passing through the object to be measured, which can reflect the degree of absorption of the radiation after passing through the object to be measured, that is, it is associated with the absorbed dose. Therefore, the estimated exposure dose can be determined based on the estimated attenuation, and then the initial exposure parameters can be updated based on the estimated exposure dose, for example, according to a preset exposure curve.

[0043] On the one hand, the above-mentioned implementation can determine relatively accurate initial exposure parameters according to the actual situation of the object to be tested in the medical device, so as to reduce the number and time of invalid shooting performed by the operator in order to adjust the exposure parameters, thereby improving the process and efficiency of operating the medical device. On the other hand, it can reduce the possibility of multiple exposures for patients, so as to avoid excessive exposure of patients to radioactive rays. The parameter optimization method disclosed in the present invention is particularly suitable for DR fluoroscopy processes that only perform a single exposure. It is easy to understand that the parameter optimization method disclosed in the present invention is also applicable to application scenarios that require continuous exposure.

[0044] In some embodiments, step S102 may include: obtaining an initial image of the object to be tested located in the medical device; and determining contour information of the object to be tested and initial relative position information relative to the inspection device based on the initial image. This makes it easier to obtain contour information of the object to be tested and initial relative position information relative to the inspection device.

[0045] In some embodiments, when the estimated attenuation is an estimated water value, etc., step S103 may include: determining the size information of the portion of the object to be tested in the ray path based at least on the initial relative position information and contour information of the object to be tested and the real-time position information of the inspection component; and determining the estimated attenuation of the object to be tested based at least on the size information. Figure 2a and Figure 2b As shown, the ray path 230 is the path that the ray will take from the ray source 211 to the detector 212. The above embodiment can simply, effectively and accurately determine the size information (e.g., volume / thickness) of the part of the object to be measured in the ray path based on the above position information, so as to accurately estimate the exposure dose in order to obtain appropriate exposure parameters. Alternatively, if the estimated attenuation is size information, the estimated attenuation can be directly determined based on the initial relative position information and contour information of the object to be measured and the real-time position information of the inspection component.

[0046] In some embodiments, based on at least the initial relative position information and contour information of the object to be measured and the real-time position information of the inspection component, determining the size information of the portion of the object to be measured in the ray path may include: determining a virtual system model (such as a virtual system model of a medical device) of the medical device based on at least the initial relative position information and contour information of the object to be measured and the real-time position information of the inspection component. Figure 2a and Figure 2b and determining at least the size information of the portion of the object to be measured in the ray path based on the virtual system model. Figure 2a and Figure 2bAs shown, the virtual system model 2000 may include a virtual object model 220 corresponding to the object to be measured and a virtual component model 210 corresponding to the inspection component. The virtual component model 210 corresponding to the inspection component may include a virtual ray source model 211 corresponding to the ray source and a virtual detector model 212 corresponding to the detector. Additionally, the virtual component model 210 corresponding to the inspection component may also include a virtual inspection bed model 213 corresponding to the inspection bed. In some examples, the size information of the part of the object to be measured in the ray path 230 may be determined based on the relative position relationship between the part to be measured of the object to be measured and the ray path 230 reflected in the virtual system model 2000. Alternatively, the size information of the part of the object to be measured in the ray path 230 may also be directly measured from the virtual system model 2000. The above virtual system model can be used to determine the size information of the part of the object to be measured in the ray path in a relatively simple, efficient and accurate manner, thereby facilitating the determination of the water value and even the exposure parameter. In some embodiments, the above parameter optimization method is performed when the position of the object to be measured has been determined and is no longer moved, but the position of the inspection component may be adjusted or may not be adjusted. At this time, based at least on the initial relative position information and contour information of the object to be tested and the real-time position information of the inspection component, determining the virtual system model of the medical device may include: constructing a virtual object model relative to the virtual component model based at least on the initial relative position information and contour information of the object to be tested, the virtual component model being a virtual model pre-stored in the medical device; and updating the virtual component model based on the real-time position information of the inspection component. That is, for example, in the case where a virtual component model of the inspection component is pre-stored in the medical device, the positions of each part in the pre-stored virtual component model correspond to the initial positions of each component in the inspection component. At this time, based on the contour information of the object to be tested, a virtual object model corresponding to the contour of the object to be tested may be constructed, and based on the initial relative position of the object to be tested relative to the inspection component, the virtual object model may be placed in a corresponding position in the virtual component model (relative to the corresponding position of one or more component models in the virtual component model). It should be understood that in order to construct a virtual system model including a virtual object model, the initial relative position information of the object to be tested relative to the inspection component can be the relative position information of the object to be tested relative to at least one of the detector, the radiation source, or the inspection bed, and the above initial relative position information can satisfy the requirement of placing the virtual object model in a position corresponding to the actual situation of the virtual component model. Then, Figure 2a and Figure 2bAs shown, after the virtual object model 213 is placed in the virtual component model 210, the virtual component model 210 can be updated based on the real-time position information of the inspection component. This ensures that the relative position relationship between the virtual object model 213 and the virtual component model 210 in the virtual system model 2000 is consistent with the relative position relationship between the actual object to be tested and the inspection component, regardless of whether the inspection component moves relative to its initial position.

[0047] In particular, the initial relative position information of the object to be tested relative to the inspection component may include the initial relative position information of the object to be tested relative to the inspection bed. Since the object to be tested is lying on the inspection bed, the position of the object to be tested relative to the inspection bed is unchanged. Obtaining the initial relative position information of the object to be tested relative to the inspection bed can facilitate positioning of the virtual object model in the virtual system model, and facilitate simple and rapid updating of the virtual system model including the virtual object model when the positions of the detector and the radiation source change.

[0048] In some other embodiments, the above parameter optimization method is performed when the positions of the object to be tested and the inspection component have been determined and no subsequent adjustment is performed. At this time, determining the virtual system model of the medical device based on at least the initial relative position information and contour information of the object to be tested and the real-time position information of the inspection component may include: updating the virtual component model based on the real-time position information of the inspection component; and constructing a virtual object model relative to the updated virtual component model based on at least the initial relative position information and contour information of the object to be tested. That is, when the positions of the object to be tested and the inspection component have been adjusted to a suitable position and no subsequent adjustment is performed, the relative position relationship of the object to be tested relative to the inspection component will not change, that is, the real-time position information of the inspection component and the initial position information corresponding to the initial relative position information of the object to be tested are consistent. In this case, the pre-stored virtual component model can be updated based on the real-time position information of the inspection component, and then the virtual object model can be constructed relative to the updated virtual component model based on the initial relative position information and contour information of the object to be tested (the virtual object model constructed based on the contour information of the object to be tested is placed at a corresponding position relative to one or more component models in the virtual component model). In this way, it can still be ensured that the relative position relationship between the virtual object model and the virtual component model in the virtual system model is consistent with the relative position relationship between the actual object to be tested and the inspection component.

[0049] It should be understood here that the virtual object model may also be a model pre-stored in the medical device, in which case the contour of the pre-stored virtual object model may be updated based on the contour information of the object to be measured.

[0050] In some embodiments, at least based on the initial relative position information and contour information of the object to be measured, constructing a virtual object model relative to the virtual component model may include: based on the initial relative position information and contour information of the object to be measured and the virtual organ model, constructing a virtual object model relative to the virtual component model, the virtual organ model being a virtual model pre-stored in the medical device and used to determine the absorption characteristics of the part of the object to be measured in the ray path (specifically, the internal organ structure) for the radiation, and wherein, based on the virtual system model, at least determining the size information of the part of the object to be measured in the ray path includes: based on the virtual system model, determining the size information of the object to be measured in the ray path and the absorption characteristics for the radiation, so as to determine the estimated attenuation. The above embodiment is particularly suitable for the case where the estimated attenuation is a water value. By constructing a virtual object model based on the contour information of the object to be measured and the virtual organ model, it is possible to consider the size of the part to be measured and the absorption characteristics of the internal organ structure for the radiation in the virtual object model, so that the determined equivalent water value of the object to be measured is more accurate.

[0051] In some embodiments, step S104 may include: updating the initial exposure parameters according to the exposure curve based on the estimated attenuation. Since the estimated attenuation (can be converted into an estimated exposure dose), a new exposure point can be determined according to the exposure curve based on the estimated attenuation to update the initial exposure parameters.

[0052] In some embodiments, the parameter optimization method 1000 may further include: causing the medical device to perform exposure using the updated initial exposure parameters to obtain a medical image; determining the actual attenuation of the object to be measured based on the image parameters of the medical image; and determining whether to update the updated initial exposure parameters again based on the estimated attenuation and the actual attenuation. The image parameters may be grayscale values, contrast-to-noise ratios (CNRs), signal-to-noise ratios (SNRs), etc. Determining whether to update the updated initial exposure parameters again based on the estimated attenuation and the actual attenuation may include: determining the difference or ratio between the estimated attenuation and the actual attenuation; in response to the difference or ratio between the estimated attenuation and the actual attenuation being greater than a preset threshold range, determining to update the updated initial exposure parameters again; and in response to the difference or ratio between the estimated attenuation and the actual attenuation being less than or equal to the preset threshold range, determining not to update the updated initial exposure parameters again, that is, continuing to use the updated initial exposure parameters. The above embodiments can realize the verification of the estimated attenuation. If the estimated attenuation is inconsistent with the actual attenuation determined based on the estimated attenuation or exceeds the tolerance range, it can be determined that the estimated attenuation may make it impossible for the medical image obtained by the exposure parameters determined thereby to achieve the target dose. At this time, the dose can continue to be adjusted according to the exposure curve using, for example, a pre-exposure program in the medical device.

[0053] Figure 3 FIG. 3 is a schematic block diagram of a parameter optimization apparatus 3000 for medical equipment according to some exemplary embodiments of the present disclosure. Figure 3 As shown, the parameter optimization device 3000 may include: a first acquisition module 301, a second acquisition module 302, a determination module 303, and an update module 304. The first acquisition module 301 is configured to acquire the initial exposure parameters to be used by the medical device for exposure. The second acquisition module 302 is configured to acquire the contour information of the object to be measured and the initial relative position information of the object to be measured relative to the inspection component. The determination module 303 is configured to determine the estimated attenuation of the ray passing through the object to be measured based on at least the initial relative position information and contour information of the object to be measured and the real-time position information of the inspection component. The estimated attenuation is used to characterize the attenuation degree of the ray from the ray source after passing through the object to be measured. The real-time position information of the inspection component is the position information of the inspection component acquired in real time.

[0054] It should be understood that Figure 3 The various modules of the device 3000 shown in FIG. Figure 1 The steps in the method 1000 described above correspond to each other. Therefore, the operations, features and advantages described above for the method 1000 are also applicable to the apparatus 3000 and the modules included therein. For the sake of brevity, some operations, features and advantages are not described in detail here.

[0055] According to another aspect of the present disclosure, a medical device is provided, comprising: at least one processor; and a memory in communication with the at least one processor; wherein the memory stores a computer program, and when the computer program is executed by the at least one processor, the steps in the method 1000 described above are implemented. The medical device may be an X-ray imaging device, etc.

[0056] According to another aspect of the present disclosure, an electronic device is provided, comprising: at least one processor; and a memory connected to the at least one processor in communication; wherein the memory stores a computer program, and when the computer program is executed by the at least one processor, the steps in the method 1000 described above are implemented. An X-ray imaging device comprises such an electronic device.

[0057] According to yet another aspect of the present disclosure, a non-transitory computer-readable storage medium storing a computer program is provided, wherein the computer program implements the steps in the method 1000 described above when executed by a processor.

[0058] According to yet another aspect of the present disclosure, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the method 1000 described above are implemented.

[0059] In the following, combined Figure 4 Illustrative examples of such electronic devices, non-transitory computer-readable storage media, and computer program products are described.

[0060] Figure 4 An example configuration of an electronic device 4000 that can be used to implement the methods described herein is shown. The electronic device 4000 can be a variety of different types of devices, such as a server of a service provider, a device associated with a client (e.g., a client device), a system on a chip, and / or any other suitable computer device or computing system. Examples of electronic devices 4000 include, but are not limited to, desktop computers, server computers, laptop or netbook computers, mobile devices (e.g., tablet computers, cellular or other wireless phones (e.g., smart phones), notepad computers, mobile stations, etc.

[0061] The electronic device 4000 may include at least one processor 402, memory 404, communication interface(s) 406, a display device 408, other input / output (I / O) devices 410, and one or more mass storage devices 412 that can communicate with each other, such as via a system bus 414 or other appropriate connection.

[0062] Processor 402 may be a single processing unit or multiple processing units, all of which may include a single or multiple computing units or multiple cores. Processor 402 may be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, state machines, logic circuits, and / or any device that manipulates signals based on operating instructions. Among other capabilities, processor 402 may be configured to obtain and execute computer-readable instructions stored in memory 404, mass storage device 412, or other computer-readable media, such as program code for operating system 416, program code for application program 418, program code for other programs 420, and the like.

[0063] The memory 404 and the mass storage device 412 are examples of computer-readable storage media for storing instructions that are executed by the processor 402 to implement the various functions described above. For example, the memory 404 may generally include both volatile memory and non-volatile memory (e.g., RAM, ROM, etc.). In addition, the mass storage device 412 may generally include a hard drive, a solid-state drive, removable media, including external and removable drives, memory cards, flash memory, floppy disks, optical disks (e.g., CDs, DVDs), storage arrays, network attached storage, storage area networks, etc. The memory 404 and the mass storage device 412 may all be collectively referred to herein as memory or computer-readable storage media, and may be non-transitory media capable of storing computer-readable, processor-executable program instructions as computer program code, which may be executed by the processor 402 as a specific machine configured to implement the operations and functions described in the examples herein.

[0064] A plurality of program modules may be stored on the mass storage device 412. These programs include an operating system 416, one or more application programs 418, other programs 420, and program data 422, and they may be loaded into the memory 404 for execution. Examples of such application programs or program modules may include, for example, computer program logic (e.g., computer program code or instructions) for implementing the following components / functions: the apparatus 3000 (including the first acquisition module 301, the second acquisition module 302, the determination module 303, and the update module 304), the method 1000 (including any suitable steps of the method 1000), and / or other embodiments described herein.

[0065] Although in Figure 4 4000, but modules 416, 418, 420, and 422, or portions thereof, may be implemented using any form of computer-readable media accessible by computer device 4000. As used herein, "computer-readable media" includes at least two types of computer-readable media, namely, computer storage media and communication media.

[0066] Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented by any method or technology for storage of information, such as computer readable instructions, data structures, program modules or other data. Computer storage media includes but is not limited to RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disk (DVD), or other optical storage devices, magnetic cassettes, magnetic tapes, magnetic disk storage devices or other magnetic storage devices, or any other non-transmission media that can be used to store information for access by a computer device.

[0067] In contrast, communication media may embody computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism. Computer storage media as defined herein does not include communication media.

[0068] The electronic device 4000 may also include one or more communication interfaces 406 for exchanging data with other devices, such as through a network, direct connection, etc., as discussed above. Such communication interfaces may be one or more of the following: any type of network interface (e.g., a network interface card (NIC)), a wired or wireless (such as IEEE802.11 wireless LAN (WLAN)) wireless interface, a Worldwide Interoperability for Microwave Access (Wi-MAX) interface, an Ethernet interface, a Universal Serial Bus (USB) interface, a cellular network interface, a Bluetooth™ interface, a Near Field Communication (NFC) interface, etc. The communication interface 406 may facilitate communication within a variety of network and protocol types, including wired networks (e.g., LAN, cable, etc.) and wireless networks (e.g., WLAN, cellular, satellite, etc.), the Internet, etc. The communication interface 406 may also provide communication with an external storage device (not shown) such as a storage array, a network attached storage, a storage area network, etc.

[0069] In some examples, a display device 408 such as a monitor may be included for displaying information and images to the user. Other I / O devices 410 may be devices that receive various inputs from the user and provide various outputs to the user, and may include touch input devices, gesture input devices, cameras, keyboards, remote controls, mice, printers, audio input / output devices, and the like.

[0070] The above are merely embodiments of the present disclosure and are not intended to limit the present disclosure. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present disclosure should be included in the protection scope of the present disclosure.

Claims

1. A parameter optimization method for a medical device, the medical device comprising an inspection component, the inspection component comprising a radiation source and a detector for receiving radiation emitted by the radiation source, and the parameter optimization method comprising: Obtaining initial exposure parameters to be used by the medical device for exposure; Acquiring contour information of the object to be measured and initial relative position information of the object to be measured relative to the inspection component; Determine an estimated attenuation of radiation passing through the object to be measured based at least on the initial relative position information and contour information of the object to be measured and the real-time position information of the inspection component, wherein the estimated attenuation is used to characterize the attenuation degree of radiation from the radiation source after passing through the object to be measured, and the real-time position information of the inspection component is the position information of the inspection component acquired in real time; as well as Based on the estimated attenuation, the initial exposure parameter is updated.

2. The parameter optimization method according to claim 1, wherein: Determining the estimated attenuation of the object to be measured based at least on the initial relative position information and contour information of the object to be measured and the real-time position information of the inspection component includes: Determining the size information of the portion of the object to be measured in the ray path based at least on the initial relative position information and contour information of the object to be measured and the real-time position information of the inspection component, wherein the ray path is the path that the ray will pass through from the ray source to the detector; and Based at least on the size information, an estimated attenuation of the object to be measured is determined.

3. The parameter optimization method according to claim 2, wherein: Determining the size information of a portion of the object to be measured in the ray path based at least on the initial relative position information and contour information of the object to be measured and the real-time position information of the inspection component comprises: Determining a virtual system model of the medical device based at least on the initial relative position information and contour information of the object to be tested and the real-time position information of the inspection component, the virtual system model comprising a virtual object model corresponding to the object to be tested and a virtual component model corresponding to the inspection component; and Based on the virtual system model, dimension information of the portion of the object to be measured is determined.

4. The parameter optimization method according to claim 3, wherein: Determining the virtual system model of the medical device based at least on the initial relative position information and contour information of the object to be tested and the real-time position information of the inspection component includes: constructing the virtual object model relative to the virtual component model based at least on the initial relative position information and contour information of the object to be measured, the virtual component model being a virtual model pre-stored in the medical device; and The virtual component model is updated based on the real-time position information of the inspected component.

5. The parameter optimization method according to claim 4, wherein: Based at least on the initial relative position information and contour information of the object to be measured, constructing the virtual object model relative to the virtual component model comprises: Based on the initial relative position information and contour information of the object to be measured and the virtual organ model, the virtual object model is constructed relative to the virtual component model, wherein the virtual organ model is a virtual model pre-stored in the medical device and is used to determine the absorption characteristics of the part of the object to be measured in the ray path for the ray, and Determining the size information of the portion of the object to be measured based on the virtual system model includes: Based on the virtual system model, the size information of the part of the object to be measured and the absorption characteristics of the part for the rays are determined to determine the estimated attenuation.

6. The parameter optimization method according to any one of claims 1 to 5, wherein: The inspection component further includes an inspection bed, and the initial relative position information of the object to be inspected relative to the inspection component includes the initial relative position information of the object to be inspected relative to the inspection bed.

7. The parameter optimization method according to any one of claims 1 to 5, wherein: Acquiring contour information of the object to be measured and initial relative position information of the object to be measured relative to the inspection component includes: Acquiring an initial image of the object to be tested located in the medical device; and Based on the initial image, contour information of the object to be measured and initial relative position information relative to the inspection device are determined.

8. The parameter optimization method according to any one of claims 1 to 5, further comprising: causing the medical device to perform exposure using the updated initial exposure parameters to obtain a medical image; Determining an actual attenuation amount of the object to be measured based on image parameters of the medical image; as well as Based on the estimated attenuation amount and the actual attenuation amount, it is determined whether to update the updated initial exposure parameter again.

9. The parameter optimization method according to any one of claims 1 to 5, wherein: The initial exposure parameters to be used by the medical device for exposure are determined according to a preset exposure curve, where the exposure curve is used to describe the exposure parameters of each exposure point used by the medical device during operation, and based on the estimated attenuation, updating the initial exposure parameters includes: Based on the estimated attenuation, the initial exposure parameter is updated according to the exposure curve.

10. A parameter optimization device for a medical device, the medical device comprising an inspection component, the inspection component comprising a ray source and a detector for receiving rays emitted by the ray source, and the parameter optimization method comprising: A first acquisition module, wherein the first acquisition module is configured to acquire initial exposure parameters to be used by the medical device for exposure; A second acquisition module, the second acquisition module is configured to acquire contour information of the object to be measured and initial relative position information of the object to be measured relative to the inspection component; a determination module, the determination module being configured to determine an estimated attenuation of the ray passing through the object to be measured based at least on the initial relative position information and contour information of the object to be measured and the real-time position information of the inspection component, the estimated attenuation being used to characterize the attenuation degree of the ray from the ray source after passing through the object to be measured, the real-time position information of the inspection component being the position information of the inspection component acquired in real time; as well as An updating module is configured to update the initial exposure parameter based on the estimated attenuation.

11. A medical device comprising: at least one processor; as well as a memory communicatively coupled to the at least one processor; in The memory stores a computer program, which, when executed by the at least one processor, implements the parameter optimization method according to any one of claims 1 to 9.

12. A non-transitory computer-readable storage medium storing a computer program, wherein: When the computer program is executed by a processor, the computer program implements the parameter optimization method according to any one of claims 1 to 9.

13. A computer program product comprising a computer program, wherein: When the computer program is executed by a processor, the computer program implements the parameter optimization method according to any one of claims 1 to 9.

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