Method, device, computer equipment and program product for determining contrast scanning plan

Abstract

The present application relates to a method, device, computer equipment and computer program product for determining an angiography scanning scheme, and relates to the field of medical angiography technology, and can efficiently obtain an angiography scheme adapted to a scanned object. The method comprises: obtaining a target scanning object physiological model of a target scanning object, inputting the target scanning object physiological model and a plurality of pre-acquired candidate angiography scanning schemes into a trained angiography simulation model, and obtaining enhancement effect parameters of a plurality of candidate angiography scanning schemes; wherein the angiography simulation model simulates the flow characteristics of the contrast agent in the target scanning object and the enhancement of the target scanning part of the target scanning object under the current scanning parameters, and outputs the enhancement effect parameters according to the simulation results; and determining a recommended angiography scanning scheme from a plurality of candidate angiography scanning schemes according to the respective enhancement effect parameters of the plurality of candidate angiography scanning schemes.

Description

Technical Field

[0001] The present application relates to the field of medical imaging technology, and in particular to a method, device, computer equipment, computer-readable storage medium and computer program product for determining an imaging scan plan. Background Art

[0002] When scanning an object and obtaining its corresponding medical image, if the density of the diseased tissue is close to that of the normal tissue, the diseased tissue is not easy to be displayed in the medical image. For this purpose, contrast agents can be introduced and a matching contrast scheme can be set.

[0003] In the related art, the content of the angiography plan is mainly set manually by the physician based on past experience; or, the angiography plan of the target scan object is calculated according to preset rules, for example, the contrast agent injection plan is searched from the database through parameters such as the scan object's weight, or the contrast agent injection parameters are calculated based on parameters such as the scan object's height, weight and other parameters and fixed calculation rules or formulas.

[0004] However, the accuracy of the manually set angiography scheme is affected by the physician's professional level and experience; at the same time, the actual effect of the angiography scheme is affected by many individual factors, and the angiography scheme calculated according to fixed rules may not be suitable for the scanned object. It can be seen that the relevant technology cannot efficiently and accurately obtain an angiography scheme that is suitable for the scanned object. Summary of the invention

[0005] Based on this, it is necessary to provide a method, device, computer equipment, computer-readable storage medium and computer program product for determining an angiography scanning scheme in response to the above-mentioned technical problems.

[0006] In a first aspect, the present application provides a method for determining an angiography scanning scheme, comprising:

[0007] Acquire a target scanning object physiological model of the target scanning object, input the target scanning object physiological model and a plurality of pre-acquired candidate angiography scanning schemes into a trained angiography simulation model, and obtain enhancement effect parameters of the plurality of candidate angiography scanning schemes;

[0008] The angiography simulation model simulates the flow characteristics of the contrast agent in the target scanning object and the enhancement of the target scanning part of the target scanning object under the current scanning parameters, and outputs the enhancement effect parameters according to the simulation results;

[0009] According to the enhancement effect parameters of each of the plurality of candidate contrast scanning schemes, a recommended contrast scanning scheme is determined from the plurality of candidate contrast scanning schemes.

[0010] In one embodiment, acquiring a target scanning object physiological model of the target scanning object includes:

[0011] Determine the target scanning part information and the target injection part information of the target scanning object, and acquire the corresponding universal physiological model from a preset model library according to the target scanning part information and the target injection part information; the universal physiological model represents the physiological structure information between the target scanning part and the target injection part;

[0012] The general physiological model is adjusted to obtain a target scanning object physiological model corresponding to the target scanning object.

[0013] In one embodiment, the adjusting the general physiological model to obtain a target scanning object physiological model corresponding to the target scanning object includes:

[0014] Extracting vital sign information of the target scanned object; the vital sign information includes: physiological parameters that affect changes in fluid flow characteristics in the target scanned part, and / or medical information of the target scanned object;

[0015] The universal physiological model is adjusted according to the extracted vital sign information to obtain a target scanning object physiological model corresponding to the target scanning object.

[0016] In one embodiment, before inputting the target scan object physiological model and a plurality of pre-acquired candidate angiography scanning schemes into the trained angiography simulation model, the candidate angiography scanning schemes are acquired by the following steps:

[0017] Determine the contrast injection parameter setting range and the contrast scanning parameter setting range;

[0018] Determining a plurality of injection parameters within the contrast injection parameter setting range, and determining a plurality of scan parameters within the contrast scan parameter setting range;

[0019] A plurality of candidate angiography scanning plans are obtained according to the combination results of the plurality of injection parameters and the plurality of scanning parameters.

[0020] In one embodiment, determining a recommended contrast scanning scheme from a plurality of candidate contrast scanning schemes according to the enhancement effect parameters of each of the plurality of candidate contrast scanning schemes comprises:

[0021] Determining a preset target enhancement effect parameter, and obtaining a similarity between the enhancement effect parameter of the candidate angiography scanning scheme and the target enhancement effect parameter;

[0022] The candidate angiography scanning schemes whose similarities meet the preset similarity conditions are used as recommended angiography scanning schemes.

[0023] In one embodiment, determining the preset target enhancement effect parameters includes:

[0024] Determine a target enhancement effect parameter according to at least one of an imaging enhancement value, image quality evaluation information, and an image signal-to-noise ratio corresponding to a target medical image; the target medical image is a medical image expected to be obtained after angiography based on a candidate angiography scanning scheme corresponding to the target medical image.

[0025] In one embodiment, the training method of the angiography simulation model is:

[0026] Acquire a sample scan object physiological model of the sample scan object, and acquire actual enhancement effect parameters corresponding to the medical image obtained by the sample scan object according to the sample angiography scheme;

[0027] Inputting the sample angiography scheme and the sample scanned object physiological model into the angiography simulation model to be trained, and obtaining the predicted enhancement effect parameters output by the angiography simulation model;

[0028] According to the difference between the predicted enhancement effect parameter and the actual enhancement effect parameter, the angiography simulation model is adjusted until a training end condition is met to obtain a trained angiography simulation model.

[0029] In one embodiment, before the step of obtaining the target scan object physiological model corresponding to the target scan object, the angiography simulation model is obtained by the following steps:

[0030] Acquire a sample scan object physiological model of the sample scan object, and acquire an actual enhancement effect corresponding to a medical image obtained according to a sample angiography scheme of the sample scan object;

[0031] Inputting the sample angiography scheme and the sample scanned object physiological model into the angiography simulation model to be trained to obtain the predicted enhancement effect output by the angiography simulation model;

[0032] According to the difference between the predicted enhancement effect and the actual enhancement effect, the angiography simulation model is adjusted until a training end condition is met to obtain a trained angiography simulation model.

[0033] In a second aspect, the present application further provides a device for determining an angiography scanning scheme, comprising:

[0034] A simulation module, used for acquiring a target scanning object physiological model of a target scanning object, inputting the target scanning object physiological model and a plurality of pre-acquired candidate angiography scanning schemes into a trained angiography simulation model, and obtaining enhancement effect parameters of the plurality of candidate angiography scanning schemes;

[0035] The angiography simulation model simulates the flow characteristics of the contrast agent in the target scanning object and the enhancement of the target scanning part of the target scanning object under the current scanning parameters, and outputs the enhancement effect parameters according to the simulation results;

[0036] The recommendation module is used to determine a recommended contrast scanning scheme from the plurality of candidate contrast scanning schemes according to the enhancement effect parameters of the plurality of candidate contrast scanning schemes.

[0037] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0038] Acquire a target scanning object physiological model of the target scanning object, input the target scanning object physiological model and a plurality of pre-acquired candidate angiography scanning schemes into a trained angiography simulation model, and obtain enhancement effect parameters of the plurality of candidate angiography scanning schemes;

[0039] The angiography simulation model simulates the flow characteristics of the contrast agent in the target scanning object and the enhancement of the target scanning part of the target scanning object under the current scanning parameters, and outputs the enhancement effect parameters according to the simulation results;

[0040] According to the enhancement effect parameters of each of the plurality of candidate contrast scanning schemes, a recommended contrast scanning scheme is determined from the plurality of candidate contrast scanning schemes.

[0041] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0042] Acquire a target scanning object physiological model of the target scanning object, input the target scanning object physiological model and a plurality of pre-acquired candidate angiography scanning schemes into a trained angiography simulation model, and obtain enhancement effect parameters of the plurality of candidate angiography scanning schemes;

[0043] The angiography simulation model simulates the flow characteristics of the contrast agent in the target scanning object and the enhancement of the target scanning part of the target scanning object under the current scanning parameters, and outputs the enhancement effect parameters according to the simulation results;

[0044] According to the enhancement effect parameters of each of the plurality of candidate contrast scanning schemes, a recommended contrast scanning scheme is determined from the plurality of candidate contrast scanning schemes.

[0045] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0046] Acquire a target scanning object physiological model of the target scanning object, input the target scanning object physiological model and a plurality of pre-acquired candidate angiography scanning schemes into a trained angiography simulation model, and obtain enhancement effect parameters of the plurality of candidate angiography scanning schemes;

[0047] The angiography simulation model simulates the flow characteristics of the contrast agent in the target scanning object and the enhancement of the target scanning part of the target scanning object under the current scanning parameters, and outputs the enhancement effect parameters according to the simulation results;

[0048] According to the enhancement effect parameters of each of the plurality of candidate contrast scanning schemes, a recommended contrast scanning scheme is determined from the plurality of candidate contrast scanning schemes.

[0049] The above-mentioned method, device, computer equipment, computer-readable storage medium and computer program product for determining the contrast scanning scheme can obtain a target scanning object physiological model of the target scanning object, input the target scanning object physiological model and multiple pre-acquired candidate contrast scanning schemes into a trained contrast simulation model, and obtain enhancement effect parameters of multiple candidate contrast scanning schemes; wherein the contrast simulation model simulates the flow characteristics of the contrast agent in the target scanning object and the enhancement of the target scanning part of the target scanning object under the current scanning parameters, and outputs the enhancement effect parameters according to the simulation results; and then, according to the enhancement effect parameters of each of the multiple candidate contrast scanning schemes, a recommended contrast scanning scheme is determined from the multiple candidate contrast scanning schemes. In this embodiment, the physiological model of the target scanning object can be used to fully describe the physiological information of the target scanning object itself. By inputting the physiological model of the target scanning object and the candidate contrast scanning schemes into the contrast simulation model, it is possible to simulate the flow of contrast agents and the enhancement of the target scanning part on the basis of considering multiple individual influencing factors of the target scanning object, and accurately and effectively predict the contrast effects of various candidate contrast scanning schemes when applied to the target scanning object. Therefore, when generating multiple candidate contrast agent schemes, it is possible to efficiently and personally provide the target scanning object with an adaptive contrast scheme to achieve a better enhanced scanning effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0051] Figure 1A schematic flow chart of a method for determining an angiography scanning scheme in one embodiment;

[0052] Figure 2 is a schematic diagram of an input parameter panel in one embodiment;

[0053] Figure 3 A schematic flow chart of a step of constructing a physiological model of a target scan object in one embodiment;

[0054] Figure 4 is a schematic diagram of an output parameter panel in an embodiment;

[0055] Figure 5 is a schematic structural diagram of an enhanced contrast scanning system in one embodiment;

[0056] Figure 6 A schematic flow chart of another method for determining an angiography scanning scheme in one embodiment;

[0057] Figure 7 is a structural block diagram of a device for determining an angiography scanning scheme in one embodiment;

[0058] Figure 8 is an internal structure diagram of a computer device in one embodiment;

[0059] Fig. 9 The figure is a diagram of the internal structure of another computer device in one embodiment. DETAILED DESCRIPTION

[0060] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0061] In order to enable those skilled in the art to better understand the present application, the relevant technology is first introduced below.

[0062] When scanning the target scan object and obtaining its corresponding medical image, if the density of the diseased tissue is close to that of the normal tissue, the diseased tissue is not easy to be displayed in medicine. For this, enhanced scanning can be performed and contrast agents can be injected into the scanned object. After the contrast agent is introduced, due to different tissue structures or different lesion properties, the amount of contrast agent absorbed (such as the iodine content of tissues and organs) and distribution (iodine distribution in tissues and organs) have their own characteristics and rules. Therefore, not only the contrast of medical images is increased, the boundary between diseased tissues and normal tissues is clear, but also the density, shape, size, etc. of the diseased tissue are more prominent. In this way, the contrast between tissues and organs can be improved, and the relationship between lesions and the surroundings and the size, shape, and range of lesions can be more clearly displayed. In practical applications, this method can be used for enhanced development of blood vessels, organs, and tissues.

[0063] When contrast agents are introduced, a matching contrast scheme is often set, and then contrast agents are used for contrast imaging according to the contrast scheme. In related technologies, the content of the contrast scheme is manually set by the physician based on past experience. Alternatively, the contrast scheme of the target scan object is calculated according to preset rules, for example, the corresponding scanning protocol is searched from the database through parameters such as the weight of the scan object and the contrast agent parameter injection scheme paired with it is extracted. The contrast agent injection parameters can also be calculated based on parameters such as the height and weight of the scan object and fixed calculation rules or formulas.

[0064] However, although the method of manually setting the angiography plan by the physician based on experience is simple and direct, due to the differences in the level and experience of the physicians, there is a lack of unified consensus on the setting of the angiography plan, which may lead to unreasonable contrast agent injection parameters, resulting in poor image enhancement effects or artifacts of medical images, and reducing the accuracy and effectiveness of the angiography plan.

[0065] Although calculating the angiography plan according to preset rules can improve the configuration efficiency of the angiography plan, considering the effectiveness of the database and the large number of individual factors that affect the actual effect of the angiography plan, there may be complex interactions between the factors, such as cardiac function, medical history, etc., using only fixed rules to calculate the angiography plan may cause the actual enhancement effect to deviate from the expected situation. The final angiography plan cannot fully adapt to the specific conditions of each scanned object, reducing the adaptability between the final angiography plan and the scanned object.

[0066] It can be seen that the related technology cannot efficiently and accurately determine the imaging scheme that is compatible with the scanned object.

[0067] Based on this, the present application provides a method, apparatus, computer device, computer-readable storage medium and computer program product for determining an angiography scanning scheme to at least solve the above-mentioned technical problems.

[0068] In one embodiment, Figure 1As shown, a method for determining an angiography scanning scheme is provided. This embodiment uses the method applied to a terminal device as an example. In some examples, the terminal device may be a medical imaging device, such as a computed tomography (CT) device and / or a magnetic resonance imaging (MRI) device. It is understandable that the method may also be applied to a server, and may also be applied to a system including a terminal and a server, and may be implemented through the interaction between the terminal and the server. In this embodiment, the method includes the following steps:

[0069] S101, obtaining a target scanning object physiological model of the target scanning object, inputting the target scanning object physiological model and a plurality of pre-acquired candidate contrast scanning schemes into a trained contrast simulation model, and obtaining enhancement effects of the plurality of candidate contrast scanning schemes; the contrast simulation model simulates the flow characteristics of the contrast agent in the target scanning object and the enhancement of the target scanning part of the target scanning object under the current scanning parameters, and outputs enhancement effect parameters according to the simulation results.

[0070] The target scanning object may be any object to be scanned by injecting contrast agent, and the target scanning part is a part or region on the target scanning object where a corresponding medical image is to be acquired by contrast.

[0071] In a specific implementation, a corresponding physiological model may be constructed for the target scanning object to obtain the target scanning object physiological model. The target scanning object physiological model may be a physiological model for modeling and simulating the target scanning object's physiological process. The physiological model may describe and simulate the functions and interactions of various tissues, organ structures or systems in the target scanning object's body through methods such as mathematical equations, statistical models or computer simulation. For example, mathematical equations, formulas and algorithms may be used to describe the blood flow process in the target scanning object's body. In the step, the target scanning object physiological model may be constructed for the specified target scanning object.

[0072] After obtaining the target scanning object physiological model, the target scanning object physiological model and a plurality of pre-acquired candidate angiography scanning schemes can be input into the trained angiography simulation model to obtain the angiography simulation model outputting corresponding enhancement effect parameters for each candidate angiography scanning scheme.

[0073] Among them, the enhancement effect can indicate the degree of difference between the lesion tissue and the normal tissue on the target medical image that is expected to be obtained after the target scanning object is enhanced scanned using the candidate contrast scanning scheme. The enhancement effect can also be understood as the degree of prominence of the lesion tissue image effect. The stronger the enhancement effect, the clearer the boundary between the lesion tissue and the normal tissue can be, and the density, shape, size, etc. of the lesion tissue can be displayed more prominently. In this embodiment, the enhancement effect parameter can be used to specifically characterize the enhancement effect of the target medical image that is expected to be obtained. The enhancement effect parameter is used as an indicator for quantitatively evaluating the enhancement scanning effect. It can be quantitative information, such as the degree of difference between the lesion tissue and the normal tissue that can be characterized by specific image parameters, or it can be qualitative information, such as the degree of prominence of the lesion tissue relative to the normal tissue by level.

[0074] The contrast simulation model can receive the input candidate contrast scanning scheme and the target scan object physiological model, and then output the enhancement effect parameters expected when the candidate contrast scanning scheme is applied to the target scan object. In some exemplary embodiments, the contrast simulation model can be obtained based on the training of the neural network model, for example, the contrast simulation model can be obtained by training a neural network model such as a deep neural network or a multi-layer perceptron through supervised training.

[0075] In the related art, in some optional implementations, an angiography scheme can be output by constructing a model, specifically by constructing a three-dimensional volume model to model the region of interest (such as the scanning area) and perform fluid dynamics simulation to simulate the flow of contrast agent in the area. However, this method requires first obtaining image data of the vascular system through preliminary research of imaging systems such as CT systems or magnetic resonance systems, and does not consider the impact of other vital signs of the scanned object on the fluid dynamic parameters of the region. When there are individual differences in the scanned objects, this may lead to a large difference between the simulation results and the actual contrast agent flow conditions.

[0076] In this regard, in this embodiment, a target scanning object physiological model that characterizes the systematic physiological process of the target scanning object can be obtained. Then, the pre-acquired candidate contrast scanning scheme and the target scanning object physiological model are input into the trained contrast simulation model. For the input target scanning object physiological model and each candidate contrast scanning scheme, the contrast simulation model can simulate the flow characteristics of the contrast agent in the target scanning object according to the candidate contrast scanning scheme and the target scanning object physiological model, and on the other hand, simulate the enhancement of the target scanning part of the target scanning object under the current scanning parameters of the candidate contrast scheme, so that the enhancement effect parameters can be output in combination with various simulation results.

[0077] In some exemplary embodiments, the contrast simulation model may simulate one or more of the following flow characteristics of the contrast agent: the time-varying distribution of the contrast agent, the time it takes for the contrast agent to arrive at the scanning site, and the time it takes for the contrast agent to flow out of the scanning site.

[0078] S102, determining a recommended contrast scanning scheme from a plurality of candidate contrast scanning schemes according to the enhancement effect parameters of each of the plurality of candidate contrast scanning schemes.

[0079] In this step, after the enhancement effect parameters of the plurality of candidate contrast scanning schemes are obtained, the enhancement effect parameters of the plurality of candidate contrast scanning schemes may be compared, and a recommended contrast scanning scheme may be determined from the plurality of candidate contrast scanning schemes according to the comparison result.

[0080] Specifically, due to differences in scheme parameters included in different candidate contrast scan schemes, such as different injection parameters or scanning parameters, the enhancement effect parameters that may be ultimately obtained are also different. Taking multiple candidate contrast scan schemes including candidate contrast scan scheme 1 and candidate contrast scan scheme 2 as an example, the enhancement effect parameters predicted based on candidate contrast scan scheme 1 indicate that the boundary between the lesion tissue and the normal tissue in the target medical image obtained by candidate contrast scan scheme 1 is the clearest, while the enhancement effect parameters predicted based on candidate contrast scan scheme 2 indicate that the boundary between the lesion tissue and the normal tissue in the target medical image obtained by candidate contrast scan scheme 2 is blurred, and the image signal difference between the lesion tissue and the normal tissue is small. In this regard, by comparing the enhancement effect parameters of each of the multiple candidate contrast scan schemes, a candidate contrast scan scheme that can obtain a better enhancement effect can be selected as a recommended contrast scan scheme.

[0081] In one embodiment, the operating user can set priorities for multiple enhancement effect parameters, for example, set the imaging enhancement value to the first priority, set the image quality score to the second priority, and set the image signal-to-noise ratio to the third priority; and then for each of the multiple candidate contrast scanning schemes, the model can output the index evaluation value under each enhancement effect parameter, such as outputting the three index evaluation values ​​of the imaging enhancement value, image quality score, and image signal-to-noise ratio of each candidate contrast scanning scheme. Subsequently, the multiple candidate contrast scanning schemes can be sorted according to the priority of the enhancement effect parameter and the specific index evaluation value of the candidate contrast scanning scheme under the enhancement effect parameter to determine the recommended contrast scanning scheme. Continuing to illustrate with the example that the priorities of the imaging enhancement value, image quality score, and image signal-to-noise ratio are the first priority, the second priority, and the third priority, respectively, when sorting, the candidate contrast scanning scheme with the best imaging enhancement value can be determined as the first recommended contrast scanning scheme. When the imaging enhancement values ​​of multiple candidate contrast scanning schemes are the same, the candidate contrast scanning scheme with the best image quality score can be further determined as the first recommended contrast scanning scheme, and so on, until the recommended contrast scanning scheme is obtained.

[0082] In another embodiment, a recommended contrast scanning scheme can also be generated based on the weighted values ​​of multiple enhancement effect parameters. For example, for each candidate contrast scanning scheme, a comprehensive score of the candidate contrast scanning scheme is calculated according to the specific index evaluation values ​​of the multiple enhancement effect parameters of the scheme and the respective weights of the multiple enhancement effect parameters. Then, a recommended contrast scanning scheme is determined based on the comprehensive scores of each candidate contrast scanning scheme.

[0083] In the above-mentioned method for determining the contrast scanning scheme, a target scanning object physiological model of the target scanning object can be obtained, and the target scanning object physiological model and multiple pre-acquired candidate contrast scanning schemes are input into a trained contrast simulation model to obtain enhancement effect parameters of multiple candidate contrast scanning schemes; wherein the contrast simulation model simulates the flow characteristics of the contrast agent in the target scanning object and the enhancement of the target scanning part of the target scanning object under the current scanning parameters, and outputs the enhancement effect parameters according to the simulation results; and then, according to the respective enhancement effect parameters of the multiple candidate contrast scanning schemes, a recommended contrast scanning scheme is determined from the multiple candidate contrast scanning schemes. In this embodiment, the physiological model of the target scanning object can be used to fully describe the physiological information of the target scanning object itself. By inputting the physiological model of the target scanning object and the candidate contrast scanning schemes into the contrast simulation model, it is possible to simulate the flow of contrast agents and the enhancement of the target scanning part on the basis of considering multiple individual influencing factors of the target scanning object, and accurately and effectively predict the contrast effects of various candidate contrast scanning schemes when applied to the target scanning object. Therefore, when generating multiple candidate contrast agent schemes, it is possible to efficiently and personally provide the target scanning object with an adaptive contrast scheme to achieve a better enhanced scanning effect.

[0084] In an exemplary embodiment, before step S101, the angiography simulation model may be obtained by the following steps:

[0085] S201, obtaining a sample scan object physiological model of the sample scan object, and obtaining actual enhancement effect parameters corresponding to the medical image of the sample scan object obtained according to the sample angiography scheme.

[0086] The sample scanning object physiological model may be a physiological model for modeling and simulating the physiological process of the sample scanning object.

[0087] In a specific implementation, a sample scanning object may be determined, wherein the sample scanning object refers to any scanning object that has been imaged and scanned according to a sample imaging scheme actually executed, wherein the sample imaging scheme includes injection parameters and scanning parameters.

[0088] After determining the sample scanning object, a corresponding physiological model can be constructed for the sample scanning object to obtain the sample scanning object physiological model. The construction method of the model can refer to the construction method of the target scanning object physiological model, which will not be repeated here.

[0089] On the other hand, since the sample scanning object has been scanned and contrasted according to its corresponding sample contrast scheme, that is, a medical image corresponding to the sample contrast scheme scan has been obtained, such as a medical image obtained after scanning, contrasting and reconstructing according to the sample contrast scheme, the enhancement effect parameters of the sample contrast scheme, that is, the actual enhancement effect parameters, can also be determined based on the medical image.

[0090] S202, inputting the sample angiography scheme and the sample scanning object physiological model into the angiography simulation model to be trained, and obtaining the predicted enhancement effect parameters output by the angiography simulation model.

[0091] In this step, the sample contrast agent scheme and the physiological model of the sample scanning object can be input into the contrast agent simulation model to be trained. The contrast agent flow characteristics in the sample scanning object and the enhancement of the target scanning part of the sample scanning object under the current scanning parameters are simulated by the contrast agent simulation model according to the sample contrast agent scheme and the physiological model of the sample scanning object, and the predicted enhancement effect parameters of the sample contrast agent scheme are output according to the simulation results.

[0092] S203, adjusting the angiography simulation model according to the difference between the predicted enhancement effect and the actual enhancement effect until a training end condition is met to obtain a trained angiography simulation model.

[0093] In this embodiment, the angiography simulation model can be trained by supervised learning. Specifically, a data set can be constructed, and each sample in the data set includes the physical sign information of the sample scan object, the sample angiography scheme actually executed, and the corresponding medical image, wherein, on the one hand, the physical sign information of the sample scan object is used to construct the sample scan object physiological model, and on the other hand, the label value of the sample is obtained according to the medical image. After obtaining the predicted enhancement effect output by the angiography simulation model, the difference between the predicted enhancement effect and the actual enhancement effect can be determined, and then the model parameters of the angiography simulation model can be adjusted according to the difference. When the training end condition is not met, other samples in the data set can be used to repeat the above steps and iteratively adjust the model parameters until the training end condition is met. For example, when the difference between the predicted enhancement effect and the actual enhancement effect is less than the difference threshold, it can be determined that the training end condition is met. Then the current angiography simulation model can be determined as a trained angiography simulation model.

[0094] In this embodiment, by inputting the sample angiography scheme and the physiological model of the sample scanned object into the angiography simulation model to be trained, the angiography simulation model is adjusted according to the difference between the predicted enhancement effect parameters and the actual enhancement effect parameters output by the model. Through supervised learning, the model can learn how to accurately simulate the application of the angiography scheme on the scanned object, thereby providing a data basis for predicting reliable and accurate enhancement effects.

[0095] In an exemplary embodiment, in step S101, obtaining a target scanning object physiological model of a target scanning object may include the following steps:

[0096] Determine the target scanning site information and the target injection site information of the target scanning object, obtain the corresponding universal physiological model from the preset model library according to the target scanning site information and the target injection site information; adjust the universal physiological model to obtain the target scanning object physiological model corresponding to the target scanning object.

[0097] Among them, the general physiological model represents the physiological structure information between the target scanning site and the target injection site.

[0098] In a specific implementation, target scanning site information and target injection site information may be obtained, wherein the target scanning site information is information indicating a target scanning site on a target scanning object, and the target injection site information is information indicating a target injection site on a target scanning object for injecting contrast drugs. In some examples, the target scanning site information may be a specific scanning site or a scanning protocol, for example, the target scanning site information may include a scanning site "chest" and a scanning protocol "coronary imaging", and the target injection site information is "right antecubital vein".

[0099] After the target scanning site information and the target injection site information are determined, the corresponding general physiological model can be called from a preset model library according to the target scanning site information and the target injection site information.

[0100] Specifically, due to the differences in physiological structures of different scanning sites, different scanning protocols may bring different imaging effects, and different injection sites may cause different drug distributions. Therefore, it is possible to pre-build respective universal physiological models for different combinations of at least two types of information in different scanning sites, scanning protocols, and injection sites, that is, the universal physiological model can be built based on at least one of the scanning sites and scanning protocols and the injection site. The universal physiological model can be understood as a physiological model obtained based on data statistics (such as a large amount of clinical data or experimental data statistics) and stored in a model library. In some exemplary embodiments, the universal physiological model may include one or more information in the length of the blood vessels between the scanning site and the injection site, the vascular morphology, the blood flow velocity, and the organ model, and may also include the size information and / or fat content of the scanning site. Then, after determining the target scanning site information and the target injection site information of the target scanning object, the corresponding universal physiological model is called from the model library.

[0101] Since the general physiological model is universal, it can roughly characterize the common physiological processes of multiple scan objects, but its correlation or correspondence with specific scan objects is low. The flow of contrast agents in the body and the actual contrast effect are affected by many individual factors. If the general physiological model is directly input into the contrast simulation model to simulate the flow of contrast agents and the enhancement of the target scan site, the actual enhancement effect may deviate from the expected situation if individual factors are ignored. In this regard, further adjustments can be made on the basis of the general physiological model, and the target scan object physiological model corresponding to the target scan object can be obtained according to the adjustment results, so that the target scan object physiological model can reflect individual characteristic information in a targeted and differentiated manner.

[0102] In this embodiment, on the one hand, the physiological model of the target object can be adjusted on the basis of the general physiological model to avoid regenerating the physiological model of the target object each time, thereby improving the efficiency of obtaining the physiological model of the target object; on the other hand, by obtaining the physiological model of the target scanning object corresponding to the target scanning object, the angiography simulation model can predict the simulation effect according to multiple individual physiological factors personalized for the target scanning object, which is conducive to improving the prediction accuracy of the enhancement effect.

[0103] In an exemplary embodiment, adjusting the general physiological model to obtain a target scanning object physiological model corresponding to the target scanning object may include the following steps:

[0104] Extracting physical sign information of the target scan object; adjusting the general physiological model according to the extracted physical sign information to obtain a target scan object physiological model corresponding to the target scan object.

[0105] The vital sign information may include at least one of the following: physiological parameters that affect changes in fluid flow characteristics in the target scanning area, and medical information of the target scanning object.

[0106] In practical applications, a variety of vital signs information of the target scanned object can be obtained. In some embodiments, the flow characteristics of the contrast agent in the target scanned part are affected by the fluid dynamics parameters of the region, and the fluid dynamics parameters of the region may be related to the physiological parameters of the target scanned object. In this regard, the extracted vital signs information may include individual physiological parameters that affect the change of fluid flow characteristics in the target scanned part, such as one or more of heart rate, blood pressure, cardiac function, and ejection fraction. Of course, other physiological parameters may also be included, so that the target scanned object physiological model obtained subsequently can more comprehensively and accurately characterize the physiological characteristics of the target scanned object. For example, the physiological parameters may also include one or more physiological parameters such as age, gender, height, weight, lean body mass, and body surface area.

[0107] On the other hand, the abnormality of the target scan object itself will also affect the flow of contrast agent on the target scan object and the actual contrast effect. For example, a target scan object with abnormal heart function may cause uneven distribution of contrast agent in the body or excessive metabolism. Arteriosclerosis may cause thickening of the inner wall of the blood vessel and narrowing of the lumen, thereby affecting the flow rate and distribution of the contrast agent. In this regard, medical information of the target scan object can also be obtained as physical sign information. In some examples, the medical information can include one or more of the diagnosis conclusion, disease information, treatment records, and CT scan images.

[0108] In some optional embodiments, the vital sign information extraction results corresponding to the target scan object can be obtained through the vital sign monitoring system arranged in the scanning room. For example, the individual physiological parameters of the target scan object can be detected by using one or more cameras, pressure sensors, wearable devices, etc. arranged in the scanning room, combined with intelligent recognition algorithms, to obtain the height and weight parameters of the target scan object; in addition, the medical information related to the scan can be extracted based on the medical records of the target scan object, such as obtaining the age, gender, height, weight and other parameters of the target scan object from the information system, and automatically extracting the lesion information related to the scan site, ejection fraction and other information from the medical information records. Of course, in other embodiments, it can also be provided as follows Figure 2 The control interface shown in the figure asks the target scan object to obtain information such as cardiac function status and medical records, and provides the target scan object's vital signs information to the device in a manual input manner. It should be emphasized that the various target scan object vital signs information obtained in this application is obtained after obtaining full authorization from the target scan object.

[0109] Depending on the scanning part and the scanning protocol, the required vital sign parameters are also different. In some embodiments, the vital sign information of the target scanning object can be extracted based on the target scanning part information to obtain the vital sign information affecting the fluid flow characteristics in the target scanning part.

[0110] Then, if Figure 3 As shown, the physical sign information extraction result can be used to modify the parameters of the general physiological model to obtain the physiological model of the target scan object. For example, if the scan site is the chest and the scan protocol is a coronary scan, the physical sign information extraction result containing key physical sign information can be obtained by extracting heart function related records from the medical information of the target scan object, or by the currently scanned calcification integral image, or by manually inputting the heart function status after the technician asks. Among them, the blood flow velocity at the scan site in the general physiological model is affected by factors such as ejection fraction and heart rate. For example, the general physiological model includes R(x), which is expressed as follows:

[0111] R(x)= C(x,EF)+ Q(x,HR)+……

[0112] Among them, R(x) is used to characterize the blood flow velocity corresponding to different vascular positions between the injection site and the scanning site, C(x,EF) is a function related to the vascular position and the ejection fraction, and Q(x,HR) is a function of the vascular position and the heart rate. After obtaining the vital sign information extraction result, the blood flow velocity in the general physiological model can be adjusted based on the actual ejection fraction and heart rate of the target scan object contained in the vital sign information extraction result to obtain the physiological model of the target scan object.

[0113] In some possible implementations, obtaining the contrast agent scheme also involves obtaining individual information of the scanned object, for example, according to some CT scan parameters, the weight of the scanned object, combined with a fixed formula to calculate the contrast agent dose required for the imaging examination, or according to the fat-free body mass to determine the reference index of contrast agent injection, and adjust it based on age. However, this method of calculating the contrast agent dose and determining the contrast agent scheme based on the formula mainly refers to weight, height, body fat percentage or fat-free body mass, and individual schemes also consider age and gender for coefficient adjustment, but the contrast agent schemes obtained by these methods fail to effectively adapt to the scanned object, and the final contrast agent effect is often poor. In this embodiment, by obtaining the physical sign information of the target scanned object and adjusting the general physiological model based on the physical sign information, it is possible to fully consider a variety of individual factors that affect the flow of contrast agents in the body, such as the heart rate, cardiac function, ejection fraction and medical history of the target scanned object, and effectively improve the simulation accuracy of the contrast agent simulation model.

[0114] In an exemplary embodiment, before step S101, candidate angiography scanning plans may be obtained by the following steps:

[0115] Determine a contrast injection parameter setting range and a contrast scan parameter setting range; determine multiple injection parameters within the contrast injection parameter setting range, and determine multiple scan parameters within the contrast scan parameter setting range; and obtain multiple candidate contrast scan plans based on the combination results of the multiple injection parameters and the multiple scan parameters.

[0116] In actual applications, the operator can set the contrast injection parameter setting range and the contrast scanning parameter setting range according to actual contrast scanning requirements.

[0117] Among them, the contrast injection parameter setting range can be used to limit the range of variation of the injection parameter. The injection parameter can be one or more parameters related to the injection of the drug during the contrast process, and the injection parameter can be used to control the drug injection method during the contrast process. In some exemplary embodiments, the injection parameter may include one or more of the following: contrast agent injection rate, contrast agent injection duration, contrast agent injection volume, follower agent identification, follower agent type, follower agent injection rate, follower agent injection duration, and follower agent injection volume.

[0118] The contrast scanning parameter setting range can be used to limit the range of variation of the scanning parameters. The scanning parameters can be one or more parameters used to control the scanning mode of the medical imaging device during the contrast process, and the through-contrast scanning parameters can control the scanning mode of the target scanning object during the contrast process. In some exemplary embodiments, the scanning parameters may include one or more of the following parameters related to the enhancement effect: tube voltage, tube current; in addition, the scanning parameters may also include parameters such as monitoring threshold and scanning delay value. In some exemplary embodiments, several relevant scanning parameters can be provided to the user according to the scanning device selected by the user, and then the contrast scanning parameter setting range entered by the user for each scanning parameter is obtained. For example, when the scan is triggered by Bolus-Tracking after the contrast agent is injected, the recommended scanning parameter type may include some or all parameters in the monitoring threshold, post-injection delay time, post-threshold delay time, Tracker interval time and scanning voltage.

[0119] After obtaining the contrast injection parameter setting range and the contrast scan parameter setting range, multiple injection parameters and multiple scan parameters can be generated within the setting range. By combining the multiple injection parameters and multiple scan parameters, a series of candidate contrast scan plans can be generated. Subsequently, by comparing the enhancement effects of each candidate contrast scan plan, a recommended contrast scan plan can be output, showing the contrast injection parameters and contrast scan parameters in the recommended contrast scan plan, for example Figure 4 A schematic diagram of an angiography scheme recommendation interface is provided, through which the content of the recommended angiography scanning scheme can be displayed.

[0120] In this embodiment, on the one hand, candidate contrast scanning schemes can be generated according to the contrast injection parameter setting range and the contrast scanning parameter setting range input by the user, so that the user can set the recommended range of each parameter in the contrast scheme in advance, and efficiently generate a variety of candidate contrast scanning schemes while ensuring that the obtained candidate contrast scanning schemes and recommended contrast scanning schemes meet the user's usage needs, reduce the possibility of abnormal parameters in the contrast scanning scheme, and increase the practicality and safety of the contrast scanning scheme; on the other hand, compared with the related art that only considers the recommended contrast agent injection parameters, this embodiment can comprehensively consider the effect of the coordinated use of injection parameters and scanning parameters by generating candidate contrast scanning schemes including injection parameters and scanning parameters, effectively improve and ensure the consistency of the expected enhancement effect and the target enhancement effect, and can personalize and recommend reasonable contrast parameters and scanning parameters, wherein reasonable injection parameters that match the target scan object can minimize the contrast agent dose while ensuring the enhancement effect, reduce the patient's renal metabolic burden, and reasonable scanning parameters can obtain higher quality enhanced images while reducing the radiation dose.

[0121] In one embodiment, in step S102, determining a recommended contrast scanning scheme from a plurality of candidate contrast scanning schemes according to the enhancement effect parameters of the plurality of candidate contrast scanning schemes may include the following steps:

[0122] Determine the preset target enhancement effect parameters, obtain the similarity between the enhancement effect parameters of the candidate contrast scanning scheme and the target enhancement effect parameters; and use the candidate contrast scanning scheme whose similarity meets the preset similarity condition as the recommended contrast scanning scheme.

[0123] In a specific implementation, the operating user may pre-set the target enhancement effect parameters, and the target enhancement effect parameters may represent the image enhancement effect that the operator expects to obtain on the target medical image after contrast imaging.

[0124] After obtaining the enhancement effect parameters of the plurality of candidate contrast scanning schemes, the enhancement effect parameters of each candidate contrast scanning scheme may be compared with the target enhancement effect parameters to obtain the similarity between the enhancement effect parameters of each candidate contrast scanning scheme and the target enhancement effect parameters.

[0125] Then, among the multiple candidate angiography scanning schemes, the candidate angiography scanning schemes whose corresponding similarities meet the preset similarity condition may be used as the recommended angiography scanning scheme.

[0126] In some exemplary embodiments, the preset similarity condition may be the highest similarity. For example, a candidate contrast scan scheme whose enhancement effect parameters are most similar to the target enhancement effect parameters may be determined from multiple candidate contrast scan schemes as the recommended contrast scan scheme. For another example, the preset similarity condition may be to have the highest similarity while exceeding a similarity threshold, wherein the similarity threshold may be determined based on an empirical value or based on the presentation of the expected enhancement effect by the operating user. If the operating user needs to obtain an enhancement effect that is highly consistent with the expectation, a higher similarity threshold may be set. If the operating user needs to obtain an enhancement effect with a larger margin of error, a lower similarity threshold may be set.

[0127] In some exemplary embodiments, if there are enhancement effect parameters in multiple dimensions, the key enhancement effect parameter selected by the user among the target enhancement effect parameters in multiple dimensions can be determined, and then among multiple candidate contrast scanning schemes, the candidate contrast scanning scheme whose enhancement effect parameter in the corresponding dimension is closest to the key enhancement effect parameter can be determined as the recommended contrast scanning scheme; or, for each candidate contrast scanning scheme, the first comprehensive enhancement effect parameter of the candidate contrast scanning scheme can be determined based on the enhancement effect parameters in multiple dimensions, and on the other hand, the second comprehensive enhancement effect parameter can be determined based on the target enhancement effect parameter in the dimension, and then the scheme among the multiple candidate contrast scanning schemes whose second comprehensive enhancement effect parameter is closest to the first comprehensive enhancement effect parameter can be used as the recommended contrast scanning scheme.

[0128] In this embodiment, by comparing the enhancement effects of each candidate contrast scanning scheme with the target enhancement effect, and screening out the candidate contrast scanning schemes whose similarity meets the preset similarity conditions as recommended contrast scanning schemes, it is possible to make personalized contrast scanning scheme recommendations based on the individual conditions of the scanned objects while meeting the operator's requirements for the enhancement effect, and taking into account the adaptability and practicality of the recommended contrast scanning scheme.

[0129] In one embodiment, determining the target enhancement effect parameter may include the following steps:

[0130] The target enhancement effect parameter is determined according to at least one of an imaging enhancement value, image quality evaluation information and an image signal-to-noise ratio corresponding to the target medical image; the target medical image is a medical image obtained after angiography based on a candidate angiography scanning scheme corresponding to the target medical image.

[0131] In practical applications, the operator can set the target enhancement effect parameters to be obtained. For example, the target enhancement effect parameters to be obtained can be obtained by setting one or more of the following information of the target medical image: imaging enhancement value, image quality evaluation information, and image signal-to-noise ratio.

[0132] The image quality evaluation information may be information used to evaluate medical images from one or more dimensions. For example, the image quality evaluation information may be at least one image quality evaluation parameter, such as one or more of resolution and image contrast. The image quality evaluation information may also be determined based on a single dimension or multiple comprehensive dimensions as an image quality evaluation score or an image quality evaluation grade. Of course, it may also be other natural language statements used to evaluate image quality.

[0133] In some exemplary embodiments, the user may input specific values ​​of the imaging enhancement value (also referred to as the image HU value), the image quality score, and the image signal-to-noise ratio. For example, the user may be provided with the following information: Figure 2 In the interface shown, the user can enter the imaging enhancement value as A, the image quality score as B and the image signal-to-noise ratio as C in the interface. It is understandable that the user can enter all or part of the above information in the interface. Then, the device can obtain the target enhancement effect parameter according to the information entered by the user.

[0134] In this embodiment, by providing at least one of the imaging enhancement value, image quality evaluation information and image signal-to-noise ratio of the target medical image, it is helpful to more accurately identify whether the enhancement effect of each candidate contrast scanning scheme can meet the requirements through quantifiable information, reduce the influence of human subjective factors, and improve the acquisition efficiency and effectiveness of the recommended contrast scanning scheme.

[0135] In order to enable those skilled in the art to better understand the above steps, the embodiment of the present application is illustrated below by using an example, but it should be understood that the embodiment of the present application is not limited to this.

[0136] like Figure 5 As shown in FIG. 1 , a schematic diagram of the structure of an enhanced contrast scanning system is provided, which includes a vital sign parameter acquisition system, a processor, a CT scanning device, and a contrast agent injection device. In this example, the vital sign parameter acquisition system can automatically measure, automatically read, or manually input the vital sign parameters of the target scan object and provide them to the processor. The processor can Figure 6 The flowchart shown builds a target scanning object physiological model based on the physical sign parameters, then inputs the target scanning object physiological model and a series of candidate contrast scanning schemes that meet the user's preset parameter range into the contrast simulation model, obtains the enhancement effect of each candidate contrast scanning scheme, and takes the candidate contrast scanning scheme closest to the target enhancement effect as the recommended contrast scanning scheme. Then, the processor can transmit the injection parameters in the recommended contrast scanning scheme to the contrast agent injection device, and transmit the scanning parameters in the recommended contrast scanning scheme to the CT scanning device. The contrast agent injection device receives the injection parameters sent by the processor to set the injection parameters and execute the contrast agent injection process. The CT scanning device receives and sets the scanning parameters and executes the CT scanning process.

[0137] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0138] Based on the same inventive concept, the embodiment of the present application also provides a device for determining a contrast scanning scheme for implementing the method for determining a contrast scanning scheme involved above. The implementation solution provided by the device for solving the problem is similar to the implementation solution recorded in the above method, so the specific limitations in the embodiments of one or more contrast scanning scheme determination devices provided below can refer to the limitations of the contrast scanning scheme determination method above, and will not be repeated here.

[0139] In an exemplary embodiment, Figure 7 As shown, a device for determining an angiography scanning scheme is provided, comprising:

[0140] A simulation module 701 is used to obtain a target scanning object physiological model of a target scanning object, input the target scanning object physiological model and a plurality of pre-acquired candidate angiography scanning schemes into a trained angiography simulation model, and obtain enhancement effect parameters of the plurality of candidate angiography scanning schemes;

[0141] The angiography simulation model simulates the flow characteristics of the contrast agent in the target scanning object and the enhancement of the target scanning part of the target scanning object under the current scanning parameters, and outputs the enhancement effect parameters according to the simulation results;

[0142] The recommendation module 702 is used to determine a recommended contrast scanning scheme from the plurality of candidate contrast scanning schemes according to the enhancement effect parameters of the plurality of candidate contrast scanning schemes.

[0143] In one embodiment, the simulation module 701 is used to:

[0144] Determine the scanning site information and injection site information of the target scanning object, and acquire a corresponding universal physiological model from a preset model library according to the scanning site information and the injection site information; the universal physiological model represents the physiological structure information between the scanning site and the injection site;

[0145] The general physiological model is adjusted to obtain a target scanning object physiological model corresponding to the target scanning object.

[0146] In one embodiment, the simulation module 701 is used to:

[0147] Determine the target scanning part information and the target injection part information of the target scanning object, and acquire the corresponding universal physiological model from a preset model library according to the target scanning part information and the target injection part information; the universal physiological model represents the physiological structure information between the target scanning part and the target injection part;

[0148] The general physiological model is adjusted to obtain a target scanning object physiological model corresponding to the target scanning object.

[0149] In one embodiment, the simulation module 701 is used to:

[0150] Extracting vital sign information of the target scanned object; the vital sign information includes: physiological parameters that affect changes in fluid flow characteristics in the target scanned part, and / or medical information of the target scanned object;

[0151] The universal physiological model is adjusted according to the extracted vital sign information to obtain a target scanning object physiological model corresponding to the target scanning object.

[0152] In one embodiment, the simulation module 701 is used to:

[0153] Determine the contrast injection parameter setting range and the contrast scanning parameter setting range;

[0154] Determining a plurality of injection parameters within the contrast injection parameter setting range, and determining a plurality of scan parameters within the contrast scan parameter setting range;

[0155] A plurality of candidate angiography scanning plans are obtained according to the combination results of the plurality of injection parameters and the plurality of scanning parameters.

[0156] In one embodiment, the recommendation module 702 is used to:

[0157] Determining a preset target enhancement effect parameter, and obtaining a similarity between the enhancement effect parameter of the candidate angiography scanning scheme and the target enhancement effect parameter;

[0158] The candidate angiography scanning schemes whose similarities meet the preset similarity conditions are used as recommended angiography scanning schemes.

[0159] In one embodiment, the recommendation module 702 is used to:

[0160] Determine a target enhancement effect parameter according to at least one of an imaging enhancement value, image quality evaluation information, and an image signal-to-noise ratio corresponding to a target medical image; the target medical image is a medical image expected to be obtained after angiography based on a candidate angiography scanning scheme corresponding to the target medical image.

[0161] In one embodiment, the apparatus comprises a model training module, wherein the model training module is configured to:

[0162] Acquire a sample scan object physiological model of the sample scan object, and acquire actual enhancement effect parameters corresponding to the medical image obtained by the sample scan object according to the sample angiography scheme;

[0163] Inputting the sample angiography scheme and the sample scanned object physiological model into the angiography simulation model to be trained, and obtaining the predicted enhancement effect parameters output by the angiography simulation model;

[0164] According to the difference between the predicted enhancement effect parameter and the actual enhancement effect parameter, the angiography simulation model is adjusted until a training end condition is met to obtain a trained angiography simulation model.

[0165] Each module in the above-mentioned device for determining the imaging scanning scheme can be implemented in whole or in part by software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module.

[0166] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 8As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store the vital signs information of the scanned object and a general physiological model. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for determining an angiography scanning scheme is implemented.

[0167] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Fig. 9 As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, near field communication (NFC) or other technologies. When the computer program is executed by the processor, a method for determining an imaging scanning scheme is implemented. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0168] Those skilled in the art will understand that Figure 8 and Fig. 9The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0169] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0170] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0171] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0172] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0173] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0174] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0175] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for determining a contrast scanning plan, characterized in that: The method comprises: Acquire a target scanning object physiological model of the target scanning object, input the target scanning object physiological model and a plurality of pre-acquired candidate angiography scanning schemes into a trained angiography simulation model, and obtain enhancement effect parameters of the plurality of candidate angiography scanning schemes; The angiography simulation model simulates the flow characteristics of the contrast agent in the target scanning object and the enhancement of the target scanning part of the target scanning object under the current scanning parameters, and outputs the enhancement effect parameters according to the simulation results; According to the enhancement effect parameters of each of the plurality of candidate contrast scanning schemes, a recommended contrast scanning scheme is determined from the plurality of candidate contrast scanning schemes.

2. The method according to claim 1, characterized in that: The step of acquiring a target scanning object physiological model of the target scanning object comprises: Determine the target scanning part information and the target injection part information of the target scanning object, and acquire the corresponding universal physiological model from a preset model library according to the target scanning part information and the target injection part information; the universal physiological model represents the physiological structure information between the target scanning part and the target injection part; The general physiological model is adjusted to obtain a target scanning object physiological model corresponding to the target scanning object.

3. The method according to claim 2, characterized in that The adjusting the general physiological model to obtain a target scanning object physiological model corresponding to the target scanning object includes: Extracting vital sign information of the target scanned object; the vital sign information includes: physiological parameters that affect changes in fluid flow characteristics in the target scanned part, and / or medical information of the target scanned object; The universal physiological model is adjusted according to the extracted vital sign information to obtain a target scanning object physiological model corresponding to the target scanning object.

4. The method according to claim 1, characterized in that: Before inputting the target scan object physiological model and a plurality of pre-acquired candidate angiography scanning schemes into the trained angiography simulation model, the candidate angiography scanning schemes are acquired by the following steps: Determine the contrast injection parameter setting range and the contrast scanning parameter setting range; Determining a plurality of injection parameters within the contrast injection parameter setting range, and determining a plurality of scan parameters within the contrast scan parameter setting range; A plurality of candidate angiography scanning plans are obtained according to the combination results of the plurality of injection parameters and the plurality of scanning parameters.

5. The method according to claim 1, characterized in that The step of determining a recommended contrast scanning scheme from the plurality of candidate contrast scanning schemes according to the enhancement effect parameters of the plurality of candidate contrast scanning schemes comprises: Determining a preset target enhancement effect parameter, and obtaining a similarity between the enhancement effect parameter of the candidate angiography scanning scheme and the target enhancement effect parameter; The candidate angiography scanning schemes whose similarities meet the preset similarity conditions are used as recommended angiography scanning schemes.

6. The method according to claim 5, characterized in that The step of determining the preset target enhancement effect parameters includes: Determine a target enhancement effect parameter according to at least one of an imaging enhancement value, image quality evaluation information, and an image signal-to-noise ratio corresponding to a target medical image; the target medical image is a medical image expected to be obtained after angiography based on a candidate angiography scanning scheme corresponding to the target medical image.

7. The method according to any one of claims 1 to 6, characterized in that The training method of the angiography simulation model is: Acquire a sample scan object physiological model of the sample scan object, and acquire actual enhancement effect parameters corresponding to the medical image obtained by the sample scan object according to the sample angiography scheme; Inputting the sample angiography scheme and the sample scanned object physiological model into the angiography simulation model to be trained, and obtaining the predicted enhancement effect parameters output by the angiography simulation model; According to the difference between the predicted enhancement effect parameter and the actual enhancement effect parameter, the angiography simulation model is adjusted until a training end condition is met to obtain a trained angiography simulation model.

8. A device for determining an angiography scanning plan, characterized in that: The device comprises: A simulation module, used for acquiring a target scanning object physiological model of a target scanning object, inputting the target scanning object physiological model and a plurality of pre-acquired candidate angiography scanning schemes into a trained angiography simulation model, and obtaining enhancement effect parameters of the plurality of candidate angiography scanning schemes; The angiography simulation model simulates the flow characteristics of the contrast agent in the target scanning object and the enhancement of the target scanning part of the target scanning object under the current scanning parameters, and outputs the enhancement effect parameters according to the simulation results; The recommendation module is used to determine a recommended contrast scanning scheme from the plurality of candidate contrast scanning schemes according to the enhancement effect parameters of the plurality of candidate contrast scanning schemes.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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