Protocol parameter determination method and magnetic resonance equipment

Abstract

The invention is suitable for the technical field of magnetic resonance, and provides a protocol parameter determination method and magnetic resonance equipment, and the method comprises the steps: obtaining a pre-scanning protocol, and determining the type of the pre-scanning protocol; a pre-scanning protocol is executed on the detection object, a plurality of pre-scanning images are obtained, and each pre-scanning image corresponds to different protocol parameters; according to the type and a pre-stored corresponding relation between different types and different feature recognition algorithms, a feature recognition algorithm corresponding to the pre-scanning protocol is flexibly determined; performing feature recognition on the plurality of pre-scanned images in a targeted manner according to a feature recognition algorithm so as to determine target parameters of the target protocol; and performing magnetic resonance scanning on the detection object according to the parameters of the target protocol. According to the method provided by the invention, manual intervention is not needed, the feature recognition algorithm corresponding to the pre-scanning protocol can be flexibly determined in combination with the type of the pre-scanning protocol, and the determination accuracy of the protocol parameters is improved.

Description

Technical Field

[0001] The present application belongs to the field of magnetic resonance technology, and in particular, relates to a method for determining protocol parameters and a magnetic resonance device. Background Art

[0002] Magnetic resonance (MR) is a common imaging examination method currently used in clinical practice, which is used to obtain medical images of a certain part of the patient. A typical MRI scan includes the following steps: positioning, positioning, setting protocol parameters, and starting the scan. The final image quality is closely related to each scanning step, especially in the setting of protocol parameters. Users need to have a better understanding of the principles of magnetic resonance imaging and have a certain understanding of the setting and adjustment of various parameters to ensure that the final imaging quality meets the corresponding diagnostic requirements. In other words, when determining the protocol parameters, the prior art usually determines them manually, which is prone to errors and reduces the accuracy of determining the protocol parameters. Summary of the invention

[0003] The embodiments of the present application provide a method for determining protocol parameters and a magnetic resonance device, which improve the accuracy of determining the protocol parameters.

[0004] In a first aspect, an embodiment of the present application provides a method for determining a protocol parameter, including:

[0005] obtaining a pre-scanning protocol and determining a type of pre-scanning protocol;

[0006] Executing the pre-scanning protocol on the detected object to obtain a plurality of pre-scanning images, each of the pre-scanning images corresponding to different protocol parameters;

[0007] Determining a feature recognition algorithm corresponding to the pre-scanning protocol according to the type and the pre-stored correspondence between different types and different feature recognition algorithms;

[0008] Performing feature recognition on the plurality of pre-scanned images according to the feature recognition algorithm to determine target parameters of the target protocol;

[0009] Perform a magnetic resonance scan on the detection object according to the parameters of the target protocol.

[0010] The method for determining protocol parameters provided by the present application is to obtain a pre-scanning protocol and determine the type of the pre-scanning protocol; execute the pre-scanning protocol on the detection object and obtain multiple pre-scanning images, each pre-scanning image corresponds to different protocol parameters; flexibly determine the feature recognition algorithm corresponding to the pre-scanning protocol according to the type and the correspondence between different types and different feature recognition algorithms stored in advance; perform feature recognition on multiple pre-scanning images in a targeted manner according to the feature recognition algorithm to determine the target parameters of the target protocol; and perform magnetic resonance scanning on the detection object according to the parameters of the target protocol. The method provided by the present application does not require human intervention, and can flexibly determine the feature recognition algorithm corresponding to the pre-scanning protocol in combination with the type of the pre-scanning protocol, thereby improving the accuracy of determining the protocol parameters.

[0011] Optionally, the performing feature recognition on the plurality of pre-scanned images according to the feature recognition algorithm to determine target parameters of the target protocol includes:

[0012] Using the feature recognition algorithm to perform feature recognition on each of the pre-scanned images to obtain a plurality of candidate image features;

[0013] evaluating the plurality of candidate image features to determine a target image feature;

[0014] The target parameters are determined according to the protocol parameters of the target pre-scan image corresponding to the target image features.

[0015] In the above method, after obtaining multiple candidate image features, it is necessary to evaluate the multiple candidate image features to obtain the target image features, and determine the target parameters of the target protocol based on the target image features, thereby further improving the accuracy of determining the target parameters of the target protocol.

[0016] Optionally, determining the target parameter according to the protocol parameter of the target pre-scanned image corresponding to the target image feature includes:

[0017] Determine a quality factor of a target pre-scanned image corresponding to the target image feature;

[0018] If the quality factor meets the set requirement, the protocol parameter of the target pre-scan image is determined as the target parameter;

[0019] If the quality factor does not meet the set requirements, the protocol parameters of the target pre-scanned image are adjusted, and the adjusted protocol parameters are determined as the target parameters.

[0020] In the above manner, the target parameters of the target protocol are determined according to the quality factor of the target pre-scan image corresponding to the target image feature, thereby ensuring the quality of the target parameters of the target protocol finally determined, thereby improving the imaging quality of subsequent magnetic resonance scanning.

[0021] Optionally, the pre-scanning protocol is a time-inversion tracking sequence, each of the candidate image features is a myocardial feature, and the myocardial zero point is the target image feature;

[0022] Correspondingly, the target protocol is a phase-sensitive inversion recovery protocol, and the target parameter is an inversion time.

[0023] The above-mentioned method improves the imaging quality of magnetic resonance scanning of the detection object according to the inversion time of the phase-sensitive inversion recovery protocol.

[0024] Optionally, the pre-scanning protocol is a velocity coding tracking sequence, and each of the candidate image features is whether there is curling;

[0025] Correspondingly, the target protocol is a flow quantitative protocol, and the target parameter is speed encoding.

[0026] The above-mentioned method improves the imaging quality of magnetic resonance scanning of the detection object according to the velocity encoding of the flow quantitative protocol.

[0027] Optionally, the pre-scanning protocol is a cardiac movie sequence, and each of the candidate image features is a coronary artery motion feature;

[0028] The target protocol is a coronary artery imaging sequence, and the target parameters are the starting point and the ending point of the coronary artery phase.

[0029] The above-mentioned method improves the imaging quality of magnetic resonance scanning of the detection object according to the starting point and the ending point of the coronary phase corresponding to the coronary imaging sequence.

[0030] Optionally, at least one of the protocol parameters of the pre-scanning protocol and the target parameter of the target protocol have a binding identifier or a link identifier, so that the at least one protocol parameter can be subsequently multiplexed in the target protocol according to the binding identifier or the link identifier to obtain an accurate target parameter.

[0031] Optionally, the feature recognition algorithm is an algorithm based on a neural network.

[0032] In a second aspect, an embodiment of the present application provides a device for determining a protocol parameter, including:

[0033] An acquisition unit, used for acquiring a pre-scanning protocol and determining a type of the pre-scanning protocol;

[0034] An execution unit, configured to execute the pre-scanning protocol on the detected object to obtain a plurality of pre-scanning images, each of which corresponds to a different protocol parameter;

[0035] A first determining unit, configured to determine a feature recognition algorithm corresponding to the pre-scanning protocol according to the type and a pre-stored correspondence between different types and different feature recognition algorithms;

[0036] A first recognition unit, configured to perform feature recognition on the plurality of pre-scanned images according to the feature recognition algorithm to determine target parameters of a target protocol;

[0037] A scanning unit is used to perform a magnetic resonance scan on the detection object according to the target parameters.

[0038] In a third aspect, an embodiment of the present application provides a magnetic resonance device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for determining the protocol parameters as described in any one of the first aspects above is implemented.

[0039] Optionally, the magnetic resonance device further comprises a display, wherein the display is used to display the target parameter determined in the method for determining the protocol parameter according to any one of the first aspects;

[0040] The target parameter is further provided with a binding identifier or a link identifier, and the binding identifier or the link identifier is used to indicate that there is a multiplexing relationship between the target parameter and at least one protocol parameter of the pre-scanning protocol.

[0041] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for determining the protocol parameters as described in any one of the above-mentioned first aspects is implemented.

[0042] In a fifth aspect, an embodiment of the present application provides a computer program product. When the computer program product is run on a magnetic resonance device, the magnetic resonance device can execute the method for determining the protocol parameters described in any one of the first aspects above. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art 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 drawings can be obtained based on these drawings without paying any creative work.

[0044] Figure 1 is a flowchart of a method for determining protocol parameters provided in an embodiment of the present application;

[0045] Figure 2is a flowchart of a method for determining protocol parameters provided in another embodiment of the present application;

[0046] Figure 3 This is a schematic diagram of target image features provided by an embodiment of the present application;

[0047] Figure 4 is a flowchart of a method for determining protocol parameters provided in yet another embodiment of the present application;

[0048] Figure 5 This is an overall flow chart of a method for determining protocol parameters provided in an embodiment of the present application.

[0049] Figure 6 It is a structural diagram of a device for determining protocol parameters provided in an embodiment of the present application;

[0050] Figure 7 It is a schematic diagram of the structure of a magnetic resonance device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0051] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0052] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0053] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0054] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0055] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0056] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0057] See also Figure 1 , Figure 1 The following is a flowchart of a method for determining protocol parameters provided by an embodiment of the present application. In the embodiment of the present application, the method for determining protocol parameters is performed by a magnetic resonance device.

[0058] like Figure 1 As shown, a method for determining a protocol parameter provided in an embodiment of the present application may include S101 to S105, which are described in detail as follows:

[0059] In S101 , a pre-scanning protocol is acquired and the type of the pre-scanning protocol is determined.

[0060] In practical applications, magnetic resonance scanning includes the following steps: positioning, location, protocol parameter setting, and start scanning of the magnetic resonance device. Among them, the positioning of the magnetic resonance device refers to placing the part to be scanned of the test object at the center of the scanning line in the magnetic resonance device, and the location of the magnetic resonance device refers to moving the detection bed in the magnetic resonance device so that the part to be scanned of the test object is located in the center of the scanning cavity. The image quality finally obtained by the magnetic resonance scanning is closely related to each step in the magnetic resonance scanning, especially in the protocol parameter setting, it is necessary to set each protocol parameter accordingly so that the sequence can collect data with the best parameters, thereby ensuring that the quality of magnetic resonance imaging meets the corresponding diagnostic requirements. Therefore, in the embodiment of the present application, before using the magnetic resonance device to formally scan the test object, the user can input the protocol parameter determination instruction to the magnetic resonance device. The magnetic resonance device scans the test object according to the protocol parameter determination instruction. Among them, the user refers to the operator who performs the corresponding operation on the magnetic resonance device, and the test object refers to the object that needs to be imaged by magnetic resonance imaging.

[0061] In the embodiment of the present application, the magnetic resonance device detects the above-mentioned protocol parameter determination instruction, which may include: the magnetic resonance device detects a preset operation for the magnetic resonance device. Among them, the preset operation can be set according to actual needs and is not limited here. Exemplarily, the preset operation can be clicking a preset control on the magnetic resonance device. Based on this, when the magnetic resonance device detects that its own preset control is clicked, it means that the preset operation is detected, that is, the above-mentioned protocol parameter determination instruction is detected.

[0062] Based on this, after detecting the above protocol parameter determination instruction, the magnetic resonance device can obtain the pre-scanning protocol. The pre-scanning protocol can be one or more, which is not limited here.

[0063] It should be noted that the pre-scanning protocol may include the settings of various parameters related to the RF pulse, gradient field, and signal acquisition time, and their arrangement in time sequence, that is, the pre-scanning protocol determines the arrangement of the changes in the RF pulse and gradient field in time sequence. Among them, the pre-scanning protocol may include one or more of the repetition time, echo time, effective echo time, callback chain length, echo gap, inversion time, number of intense times, acquisition time, etc.; for example, the pre-scanning protocol may include the bandwidth, amplitude, application time, and duration of the RF pulse; the pre-scanning protocol may include the application time and duration of the gradient field.

[0064] In the embodiment of the present application, the magnetic resonance device can determine the type of the scanning protocol according to the name of the pre-scanning protocol.

[0065] Exemplarily, assuming that the name of the pre-scan protocol is a time inversion tracking (ti-scout) sequence, the magnetic resonance apparatus may determine that the type of the pre-scan protocol is a time inversion tracking (ti-scout) sequence.

[0066] Exemplarily, assuming that the name of the pre-scan protocol is a velocity encoding tracking (Venc-Scout) sequence, the magnetic resonance apparatus may determine that the type of the pre-scan protocol is a velocity encoding tracking (Venc-Scout) sequence.

[0067] Exemplarily, assuming that the name of the pre-scan protocol is cardiac cine sequence, the magnetic resonance apparatus may determine that the type of the pre-scan protocol is cardiac cine sequence.

[0068] In S102, the pre-scanning protocol is executed on the detection object to obtain a plurality of pre-scanning images, each of which corresponds to a different protocol parameter.

[0069] In the embodiment of the present application, when the magnetic resonance device performs a formal scan on the detection object, it can scan the detection object according to the pre-scanning protocol, that is, execute the pre-scanning protocol on the detection object to obtain multiple pre-scanning images corresponding to the pre-scanning protocol, wherein each pre-scanning image corresponds to different protocol parameters.

[0070] It should be noted that the protocol parameters include but are not limited to: inversion time (ti), velocity coding (venc), and the starting point and ending point of the coronary phase.

[0071] In S103, a feature recognition algorithm corresponding to the pre-scanning protocol is determined according to the type and the pre-stored correspondence between different types and different feature recognition algorithms.

[0072] It should be noted that the magnetic resonance device pre-stores the correspondence between different types and different feature recognition algorithms. Among them, the pre-scanning protocol is divided into multiple types, and each type corresponds to a feature recognition algorithm. In other words, there is a one-to-one mapping relationship between the type of pre-scanning protocol and the feature recognition algorithm. Among them, the feature recognition algorithm can be an algorithm based on a neural network.

[0073] The feature recognition algorithms include but are not limited to: a first recognition algorithm for myocardial feature recognition on inversion time tracking (ti-scout) images, a second recognition algorithm for convolution feature recognition on velocity encoding tracking (venc-scout) images, and a third recognition algorithm for coronary motion feature recognition on cardiac movie sequences.

[0074] Exemplarily, taking the first recognition algorithm as an image detection model as an example, the image detection model can be obtained by training a pre-constructed neural network model based on a preset sample set. Wherein, each sample data in the preset sample set includes a sample inversion time tracking (ti-scout) image and an inversion time corresponding to the zero-crossing point of myocardial inversion recovery. When training the pre-constructed neural network model, the sample inversion time tracking (ti-scout) image in each sample is used as the input of the neural network model, and the inversion time corresponding to the zero-crossing point of myocardial inversion recovery in each sample is used as the output of the neural network model. Through training, the neural network model can learn the correspondence between all possible images and the inversion time corresponding to the zero-crossing point of myocardial inversion recovery. The trained neural network model is used as an image detection model to obtain the first recognition algorithm.

[0075] In an embodiment of the present application, the magnetic resonance device can set the feature recognition algorithm corresponding to the inversion time tracking (TI-Scout) sequence as the first recognition algorithm, the magnetic resonance device can set the feature recognition algorithm corresponding to the velocity encoding tracking (VENC-Scout) sequence as the second recognition algorithm, and the magnetic resonance device can set the feature recognition algorithm corresponding to the cardiac movie sequence as the third recognition algorithm.

[0076] Based on this, after determining the type of the pre-scanning protocol, the magnetic resonance device determines the feature recognition algorithm corresponding to the pre-scanning protocol according to the type of the pre-scanning protocol and the correspondence between different types and different feature recognition algorithms pre-stored by the magnetic resonance device.

[0077] In S104, the feature recognition algorithm performs feature recognition on the plurality of pre-scanned images to determine target parameters of the target protocol.

[0078] In the embodiment of the present application, after the magnetic resonance device determines the feature recognition algorithm corresponding to the pre-scanning protocol, since multiple pre-scanning images are obtained after the pre-scanning protocol is executed on the detection object, the magnetic resonance device can perform feature recognition on the multiple pre-scanning images through the determined feature recognition algorithm to obtain the optimal image that meets the first set condition, and then determine the target parameters of the target protocol from the optimal image that meets the first set condition. Among them, the first set condition is set according to actual needs and is not limited here.

[0079] In some possible embodiments, the first setting condition can be set according to the type of the pre-scanning protocol. Exemplarily, in combination with S101, assuming that the type of the pre-scanning protocol is a time inversion tracking (ti-scout) sequence, the first setting condition is an image of the zero-crossing point of myocardial inversion recovery; assuming that the type of the pre-scanning protocol is a velocity encoding tracking (venc-scout) sequence, the first setting condition is an image without a curling feature; assuming that the type of the pre-scanning protocol is a cardiac movie sequence, the first setting condition is a movie image corresponding to the starting point and the ending point of the phase of the coronary artery.

[0080] It should be noted that the target protocols include but are not limited to: phase sensitive inversion recovery (psir) protocol, flow quantification (fq) protocol and coronary imaging sequence.

[0081] Therefore, in other possible embodiments, when the pre-scan protocol is a time inversion tracking (TI-Scout) sequence, the target protocol is a phase sensitive inversion recovery (PSIR) protocol; when the pre-scan protocol is a velocity encoding tracking (VENC-Scout) sequence, the target protocol is a flow quantification (FQ) protocol; when the pre-scan protocol is a cardiac cine sequence, the target protocol is a coronary imaging sequence.

[0082] Based on this, when the type of pre-scan protocol is an inversion time tracking (ti-scout) sequence, the target parameter of its target protocol specifically refers to the inversion time (ti) corresponding to the image of the zero crossing point of myocardial inversion recovery; when the type of pre-scan protocol is a velocity coding tracking (venc-scout) sequence, the target parameter of its target protocol specifically refers to the velocity coding (venc) without curling features; when the type of pre-scan protocol is a cardiac movie sequence, the target parameter of its target protocol specifically refers to the starting point and ending point of the coronary phase.

[0083] In some other possible embodiments, at least one protocol parameter of the pre-scan protocol has a binding identifier or a link identifier with the target parameter of the target protocol. Therefore, in this embodiment, the magnetic resonance can determine the target protocol associated with the pre-scan protocol based on the above-mentioned binding identifier or link identifier, and determine the target parameter of the target protocol based on the above-mentioned at least one protocol parameter.

[0084] The binding identifier or link identifier can be set according to actual needs and is not limited here. Exemplarily, the binding identifier or link identifier can be a number or a digit.

[0085] In one embodiment of the present application, in order to improve the accuracy of determining the target protocol parameters and thereby improve the final imaging quality of the magnetic resonance device, the magnetic resonance device may specifically perform the following steps: Figure 2 Steps S1041 to S1043 shown determine the target protocol parameters. Figure 1 ,like Figure 2 As shown, in this embodiment, step S104 may specifically include S1041 to S1043, which are described in detail as follows:

[0086] In S1041, feature recognition is performed on each of the pre-scanned images using the feature recognition algorithm to obtain a plurality of candidate image features.

[0087] In this embodiment, the magnetic resonance device may perform feature recognition on each pre-scan image using a feature recognition algorithm to obtain a plurality of candidate image features.

[0088] The candidate image features include, but are not limited to: myocardial features, the presence or absence of folds, and coronary artery motion features.

[0089] It should be noted that, in combination with S104, when the pre-scan protocol is a time inversion tracking (ti-scout) sequence, its candidate image features are myocardial features; when the pre-scan protocol is a velocity encoding tracking (venc-scout) sequence, its candidate image features are the presence or absence of curling; when the pre-scan protocol is a cardiac movie sequence, its candidate image features are coronary motion features.

[0090] In S1042, the plurality of candidate image features are evaluated to determine a target image feature.

[0091] In this embodiment, after obtaining multiple candidate image features, the magnetic resonance device can evaluate the multiple candidate image features based on the first set condition to obtain the best candidate image feature among the multiple candidate image features, and determine the best candidate image feature as the target image feature. The first set condition can be set according to actual needs and is not limited here.

[0092] It should be noted that different types of pre-scanning protocols have different first set conditions for evaluating the multiple candidate image features corresponding to each of them.

[0093] Combined with S1041, when the candidate image feature is a myocardial feature, the optimal candidate image feature is the myocardial zero point; when the candidate image feature is a feature of whether or not there is curling, the optimal candidate image feature is a feature of no curling; when the candidate image feature is a coronary artery motion feature, the optimal candidate image feature is the starting point and ending point of the coronary artery phase.

[0094] For example, taking the pre-scan protocol as a cardiac movie sequence, see Figure 3 , Figure 3 is a schematic diagram of target image features provided by an embodiment of the present application. Figure 3 As shown, Figure 3 (a) in the figure shows the image corresponding to the starting point of the coronary phase. Figure 3 (b) in the figure shows the image corresponding to the end point of the coronary phase.

[0095] In S1043, the target parameters are determined according to the protocol parameters of the target pre-scan image corresponding to the target image features.

[0096] In this embodiment, the magnetic resonance device may determine the protocol parameters of the pre-scan image corresponding to the target image features as the target parameters.

[0097] In one embodiment of the present application, in order to ensure the quality of the target parameters of the target protocol to provide the imaging quality of the subsequent magnetic resonance scan, the magnetic resonance device can specifically perform the following steps: Figure 4 Steps S10431 to S10433 shown in FIG. 1 determine target parameters of the target protocol. Figure 4 As shown, step S1043 in this embodiment may specifically include S10431 to S10433, which are described in detail as follows:

[0098] In S10431, a quality factor of the target pre-scanned image corresponding to the target image feature is determined.

[0099] In actual applications, due to various unfavorable factors such as movement of the detection object, ECG triggering or inaccurate positioning, the pre-scan image obtained after executing the pre-scan protocol on the detection object may have problems such as artifacts, misalignment or poor contrast. At this time, there will be errors in feature recognition using the feature recognition algorithm, resulting in poor algorithm convergence, so that the quality factor of the target pre-scan image corresponding to the target feature image finally determined is low. Therefore, in this embodiment, in order to ensure the quality of the target parameters of the target protocol, the magnetic resonance equipment needs to determine the quality factor of the target pre-scan image corresponding to the target image feature.

[0100] In one embodiment of the present application, the magnetic resonance device can specifically determine the quality factor of the target pre-scan image according to the following steps, which are described in detail as follows:

[0101] Acquiring behavior information of the detected object;

[0102] If the difference between the target pre-scanned image and the set image is greater than a second threshold, or the behavior information does not meet the second set condition, determining that the quality factor is less than the first threshold;

[0103] If the difference between the target pre-scanned image and the set image is less than or equal to the second threshold, and the behavior information meets the second set condition, it is determined that the quality factor is greater than or equal to the first threshold.

[0104] In this embodiment, the behavior information is used to indicate whether the detection object is moving.

[0105] After obtaining the behavior information of the detection object, the magnetic resonance device can determine the quality factor of the target pre-scan image by combining the target pre-scan image and the behavior information.

[0106] Specifically, the magnetic resonance device can compare the target pre-scan image with the set image, determine the difference between the target pre-scan image and the set image, and compare the difference with the second threshold; at the same time, detect whether the behavior information meets the second set condition. The second threshold can be determined according to actual needs and is not limited here.

[0107] The set image refers to a standard image that meets the first set condition, and the standard image refers to an image without artifacts, dislocations, and high contrast, wherein the high contrast can be determined according to actual needs and is not limited here.

[0108] The second setting condition may be: the detection object is not moving.

[0109] Based on this, in this embodiment, when the magnetic resonance device detects that the difference between the target pre-scan image and the set image is greater than the second threshold, or the behavior information does not meet the second set condition, it means that the quality factor of the target pre-scan image corresponding to the target image is low, so the magnetic resonance device can determine that the quality factor is less than the first threshold. The first threshold can be determined according to actual needs and is not limited here.

[0110] When the magnetic resonance device detects that the difference between the target pre-scan image and the set image is less than or equal to the second threshold, and the behavior information meets the second set condition, it means that the quality factor of the target pre-scan image corresponding to the target image is higher. Therefore, the magnetic resonance device can determine that the above quality factor is greater than or equal to the first threshold.

[0111] In one embodiment of the present application, when the magnetic resonance device determines that the quality factor is greater than or equal to the first threshold, it can determine that the quality factor meets the set requirement, and therefore, the magnetic resonance device can execute step S10432.

[0112] In another embodiment of the present application, when the magnetic resonance device determines that the quality factor is less than the first threshold, it may determine that the quality factor does not meet the set requirement, and therefore, the magnetic resonance device may execute step S10433.

[0113] In S10432, if the quality factor meets the set requirement, the protocol parameters of the target pre-scan image are determined as the target parameters.

[0114] In this embodiment, when the magnetic resonance device determines that the quality factor of the target pre-scan image meets the set requirements, it means that the quality factor of the target pre-scan image corresponding to the target image feature is higher. Therefore, the magnetic resonance device can determine the protocol parameters of the target pre-scan image as the target parameters of the target protocol.

[0115] In S10433, if the quality factor does not meet the set requirement, the protocol parameters of the target pre-scan image are adjusted, and the adjusted protocol parameters are determined as the target parameters.

[0116] In this embodiment, when the magnetic resonance device determines that the quality factor of the target pre-scan image does not meet the set requirements, it means that the quality factor of the target pre-scan image corresponding to the target image feature is low. Therefore, the magnetic resonance device can adjust the protocol parameters of the target pre-scan image and determine the adjusted protocol parameters as the target parameters of the target protocol.

[0117] In one embodiment of the present application, in order to improve the success rate of adjusting the protocol parameters of the target pre-scan image, the magnetic resonance device can specifically adjust the protocol parameters of the target pre-scan image through the following steps to obtain the target parameters, which are described in detail as follows:

[0118] If the quality factor is less than the first threshold, the method returns to executing the pre-scanning protocol on the detection object to obtain multiple pre-scanning images, and uses a feature recognition algorithm to perform feature recognition on each pre-scanning image to obtain multiple candidate image features, and evaluates the multiple candidate image features to determine the target image features, until the quality factor is greater than or equal to the first threshold, or the number of executions returned is greater than or equal to the third threshold.

[0119] In this embodiment, when the magnetic resonance device detects that the quality factor of the target pre-scan image is less than the first threshold, it indicates that the quality factor of the target pre-scan image is low, that is, when the magnetic resonance device executes the pre-scan protocol on the detection object, there may be various unfavorable factors such as patient movement, ECG triggering or inaccurate positioning. Therefore, the magnetic resonance device can re-execute the pre-scan protocol on the detection object to obtain the latest multiple pre-scan images, and then use the feature recognition parameters to perform feature recognition on each pre-scan image again to obtain the latest multiple candidate image features, and evaluate the latest multiple candidate image features to determine the latest target image features, and again determine the quality factor of the target pre-scan image corresponding to the latest target image features, until the quality factor of the target pre-scan image is greater than or equal to the first threshold, or the magnetic resonance device returns an execution number greater than or equal to the third threshold. Among them, the third threshold can be determined according to actual needs and is not limited here. Exemplarily, the third threshold can be determined as 5 times.

[0120] In another embodiment of the present application, in order to improve the working efficiency of the magnetic resonance device, the magnetic resonance device can specifically adjust the protocol parameters of the target pre-scan image through the following steps to obtain the target parameters, which are described in detail as follows:

[0121] If the quality factor is less than the first threshold, the parameter adjustment information input by the user is received, and the protocol parameters of the target pre-scanned image are adjusted according to the parameter adjustment information to obtain the target parameters.

[0122] In this embodiment, when the magnetic resonance device detects that the quality factor of the target pre-scan image is less than the first threshold, it means that the quality factor of the target pre-scan image is low, that is, when the magnetic resonance device executes the pre-scan protocol on the detection object, there may be various unfavorable factors such as patient movement, ECG triggering or inaccurate positioning. Therefore, in order to improve work efficiency, the magnetic resonance device can directly receive the parameter adjustment information input by the user, and adjust the protocol parameters of the target pre-scan image according to the parameter adjustment information to obtain the target parameters.

[0123] In S105, a magnetic resonance scan is performed on the detection object according to the target parameters.

[0124] In an embodiment of the present application, after determining the target parameters of the target protocol, the magnetic resonance device can perform a magnetic resonance scan on the detection object according to the target parameters to obtain magnetic resonance data. Thereafter, the magnetic resonance device can reconstruct a magnetic resonance image of the magnetic resonance data to obtain a magnetic resonance image of the detection object.

[0125] In one embodiment of the present application, the magnetic resonance device may specifically perform step S105 through the following steps, which are described in detail as follows:

[0126] If the parameter confirmation information input by the user is detected, a magnetic resonance scan is performed on the detection object according to the target parameters; the parameter confirmation information is used to indicate that the user has confirmed the target protocol parameters.

[0127] In this embodiment, after obtaining the target parameters of the target protocol, in order to determine whether the target parameters of the target protocol meet the user's expectations, the magnetic resonance device can output a "Confirm target parameters" dialog box on the display interface and display corresponding "Yes" controls and "No" controls.

[0128] Based on this, the user can click any one of the above controls on the above display interface to perform an operation of confirming the target parameter, that is, input information of confirming the target parameter to the magnetic resonance device.

[0129] Exemplarily, when the user clicks the "Yes" control on the above display interface, the operation of confirming the target parameter is performed, that is, parameter confirmation information for confirming the target parameter is input to the magnetic resonance device. The parameter confirmation information is used to indicate that the user has confirmed the target parameter, that is, accepted the target parameter.

[0130] Exemplarily, when the user clicks the "No" control on the above display interface, the operation of not confirming the target parameter is performed, that is, parameter rejection information of not confirming the target parameter is input to the magnetic resonance device. The parameter rejection information is used to indicate that the user refuses to receive the target parameter.

[0131] Based on this, in this embodiment, after the magnetic resonance device detects the parameter confirmation information input by the user, it indicates that the user has accepted the target parameter. Therefore, the magnetic resonance device can perform a magnetic resonance scan on the detection object according to the target parameter.

[0132] From the above, it can be seen that a method for determining protocol parameters provided in an embodiment of the present application is provided by obtaining a pre-scanning protocol and determining the type of the pre-scanning protocol; executing the pre-scanning protocol on the detection object and obtaining multiple pre-scanning images, each pre-scanning image corresponding to different protocol parameters; flexibly determining the feature recognition algorithm corresponding to the pre-scanning protocol according to the type and the correspondence between different types and different feature recognition algorithms stored in advance; performing targeted feature recognition on multiple pre-scanning images according to the feature recognition algorithm to determine the target parameters of the target protocol; and performing a magnetic resonance scan on the detection object according to the parameters of the target protocol. The method provided in the present application does not require human intervention, and can flexibly determine the feature recognition algorithm corresponding to the pre-scanning protocol in combination with the type of the pre-scanning protocol, thereby improving the accuracy of determining the protocol parameters.

[0133] See also Figure 5 , Figure 5 FIG. 1 is an overall flow chart of a method for determining protocol parameters provided in an embodiment of the present application. Figure 5 As shown, after the magnetic resonance device detects the protocol parameter determination instruction input by the user, it can first obtain the pre-scan protocol and determine the type of the pre-scan protocol (such as Figure 5 Then, a pre-scanning protocol may be executed on the detected object to obtain a plurality of pre-scanning images (such as step S201 shown in FIG. Figure 5 At the same time, the magnetic resonance device can also determine the feature recognition algorithm corresponding to the pre-scanning protocol (such as Figure 5 Then, the magnetic resonance device can use the feature recognition algorithm to perform feature recognition on each pre-scan image to obtain multiple candidate image features (such as Figure 5 Step S204 shown in FIG. 10 ); and evaluating the plurality of candidate image features to determine a target image feature (eg, Figure 5 Step S205 shown).

[0134] After determining the target image feature, the magnetic resonance device can determine the quality factor of the target pre-scan image corresponding to the target image feature (e.g. Figure 5 Step S206 shown).

[0135] On the one hand, when the magnetic resonance device detects that the quality factor meets the set requirements, the protocol parameters of the target pre-scan image can be determined as the target parameters (such as Figure 5 Step S2071 shown).

[0136] On the other hand, when the magnetic resonance device detects that the quality factor does not meet the set requirements, it can adjust the protocol parameters of the target pre-scan image and determine the adjusted protocol parameters as the target parameters (such as Figure 5 Step S2072 shown).

[0137] Finally, the magnetic resonance device can perform magnetic resonance scanning on the test object according to the target parameters of the target protocol finally determined (such as Figure 5 Step S208 shown).

[0138] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0139] Corresponding to the method for determining a protocol parameter described in the above embodiment, Figure 6 The following is a schematic diagram showing the structure of a device for determining protocol parameters provided in an embodiment of the present application. For ease of explanation, only the parts related to the embodiment of the present application are shown. Figure 6 The apparatus 600 for determining protocol parameters includes: an acquisition unit 61, an execution unit 62, a first determination unit 63, a first identification unit 64 and a scanning unit 65. Among them:

[0140] The acquisition unit 61 is used to acquire the pre-scanning protocol and determine the type of the pre-scanning protocol.

[0141] The execution unit 62 is used to execute the pre-scanning protocol on the detection object to obtain a plurality of pre-scanning images, each of which corresponds to different protocol parameters.

[0142] The first determining unit 63 is used to determine the feature recognition algorithm corresponding to the pre-scanning protocol according to the type and the pre-stored correspondence between different types and different feature recognition algorithms.

[0143] The first recognition unit 64 is used to perform feature recognition on the plurality of pre-scan images according to the feature recognition algorithm to determine target parameters of the target protocol.

[0144] The scanning unit 65 is used to perform a magnetic resonance scan on the detection object according to the target parameters.

[0145] In one embodiment of the present application, the first identification unit 64 specifically includes: a second identification unit, an evaluation unit and a second determination unit. Among them:

[0146] The second recognition unit is used to perform feature recognition on each of the pre-scanned images using the feature recognition algorithm to obtain a plurality of candidate image features.

[0147] The evaluation unit is used to evaluate the multiple candidate image features to determine the target image feature.

[0148] The second determination unit is used to determine the target parameter according to the protocol parameter of the target pre-scan image corresponding to the target image feature.

[0149] In one embodiment of the present application, the second determining unit specifically includes: a third determining unit, a fourth determining unit and a fifth determining unit. Among them:

[0150] The third determination unit is used to determine the quality factor of the target pre-scanned image corresponding to the target image feature.

[0151] The fourth determining unit is configured to determine the protocol parameters of the target pre-scan image as the target parameters if the quality factor meets the set requirements.

[0152] The fifth determining unit is configured to adjust the protocol parameters of the target pre-scan image if the quality factor does not meet the set requirements, and determine the adjusted protocol parameters as the target parameters.

[0153] In one embodiment of the present application, the pre-scanning protocol is an inversion time tracking sequence, each of the candidate image features is a myocardial feature, and the myocardial zero point is the target image feature;

[0154] Correspondingly, the target protocol is a phase-sensitive inversion recovery protocol, and the target parameter is an inversion time.

[0155] In one embodiment of the present application, the pre-scanning protocol is a velocity encoding tracking sequence, and each of the candidate image features is the presence or absence of curling;

[0156] Correspondingly, the target protocol is a flow quantitative protocol, and the target parameter is speed encoding.

[0157] In one embodiment of the present application, the pre-scanning protocol is a cardiac movie sequence, and each of the candidate image features is a coronary motion feature;

[0158] The target protocol is a coronary artery imaging sequence, and the target parameters are the starting point and the ending point of the coronary artery phase.

[0159] In one embodiment of the present application, at least one of the protocol parameters of the pre-scanning protocol and the target parameter of the target protocol have a binding identifier or a link identifier.

[0160] In one embodiment of the present application, the feature recognition algorithm is a neural network-based algorithm.

[0161] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0162] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a first processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0163] Figure 7 This is a schematic diagram of the structure of a magnetic resonance device provided in one embodiment of the present application. Figure 7 As shown, the magnetic resonance device 7 of this embodiment includes: at least one processor 70 ( Figure 7 Only one is shown in the figure) a processor, a memory 71, and a computer program 72 stored in the memory 71 and executable on the at least one processor 70, and when the processor 70 executes the computer program 72, the steps in the above-mentioned method for determining any of the protocol parameters are implemented.

[0164] The magnetic resonance device may include, but is not limited to, a processor 70 and a memory 71. Those skilled in the art will appreciate that Figure 7 It is only an example of the magnetic resonance device 7 and does not constitute a limitation of the magnetic resonance device 7. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components, for example, it may also include input and output devices, network access devices, etc.

[0165] The processor 70 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0166] In some embodiments, the memory 71 may be an internal storage unit of the magnetic resonance device 7, such as the memory of the magnetic resonance device 7. In other embodiments, the memory 71 may also be an external storage device of the magnetic resonance device 7, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the magnetic resonance device 7. Further, the memory 71 may also include both the internal storage unit and the external storage device of the magnetic resonance device 7. The memory 71 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program. The memory 71 may also be used to temporarily store data that has been output or is to be output.

[0167] In one embodiment of the present application, the magnetic resonance device may further include a display, wherein the display is used to display the target parameters determined according to any one of the above method embodiments.

[0168] It should be noted that the target parameter is also provided with a binding identifier or a link identifier, and the binding identifier or the link identifier is used to indicate that there is a multiplexing relationship between the target parameter and at least one parameter of the pre-scanning protocol.

[0169] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the above-mentioned method embodiments can be implemented.

[0170] An embodiment of the present application provides a computer program product. When the computer program product is run on a magnetic resonance device, the magnetic resonance device can implement the steps in the above-mentioned method embodiments when executing the computer program product.

[0171] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the magnetic resonance device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0172] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0173] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for determining protocol parameters, characterized in that: include: obtaining a pre-scanning protocol and determining a type of pre-scanning protocol; Executing the pre-scanning protocol on the detected object to obtain a plurality of pre-scanning images, each of the pre-scanning images corresponding to different protocol parameters; Determining a feature recognition algorithm corresponding to the pre-scanning protocol according to the type and the pre-stored correspondence between different types and different feature recognition algorithms; Performing feature recognition on the plurality of pre-scanned images according to the feature recognition algorithm to determine target parameters of the target protocol; Perform a magnetic resonance scan on the detection object according to the target parameters.

2. The method for determining protocol parameters according to claim 1, characterized in that: The step of performing feature recognition on the plurality of pre-scanned images according to the feature recognition algorithm to determine target parameters of the target protocol includes: Using the feature recognition algorithm to perform feature recognition on each of the pre-scanned images to obtain a plurality of candidate image features; evaluating the plurality of candidate image features to determine a target image feature; The target parameters are determined according to the protocol parameters of the target pre-scan image corresponding to the target image features.

3. The method for determining protocol parameters according to claim 2, characterized in that: The step of determining the target parameters according to the protocol parameters of the target pre-scanned image corresponding to the target image features comprises: Determine a quality factor of a target pre-scanned image corresponding to the target image feature; If the quality factor meets the set requirement, the protocol parameter of the target pre-scan image is determined as the target parameter; If the quality factor does not meet the set requirement, the protocol parameters of the target pre-scan image are adjusted, and the adjusted protocol parameters are determined as the target parameters.

4. The method for determining protocol parameters according to claim 2, wherein: The pre-scanning protocol is an inversion time tracking sequence, each of the candidate image features is a myocardial feature, and the myocardial zero point is the target image feature; Correspondingly, the target protocol is a phase-sensitive inversion recovery protocol, and the target parameter is an inversion time.

5. The method for determining protocol parameters according to claim 2, wherein: The pre-scanning protocol is a velocity coding tracking sequence, and each of the candidate image features is the presence or absence of curling; Correspondingly, the target protocol is a flow quantitative protocol, and the target parameter is speed encoding.

6. The method for determining protocol parameters according to claim 2, wherein: The pre-scanning protocol is a cardiac movie sequence, and each of the candidate image features is a coronary artery motion feature; The target protocol is a coronary artery imaging sequence, and the target parameters are the starting point and the ending point of the coronary artery phase.

7. The method for determining protocol parameters according to claim 1, wherein: At least one of the protocol parameters of the pre-scanning protocol and the target parameter of the target protocol have a binding identifier or a link identifier.

8. The method for determining protocol parameters according to claim 3, wherein: The feature recognition algorithm is an algorithm based on a neural network.

9. A magnetic resonance device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method for determining the protocol parameters according to any one of claims 1 to 8 is implemented.

10. The magnetic resonance apparatus according to claim 9, characterized in that The magnetic resonance device further comprises a display, the display being used to display the target parameter determined in the method for determining the protocol parameter according to any one of claims 1 to 8; The target parameter is further provided with a binding identifier or a link identifier, and the binding identifier or the link identifier is used to indicate that there is a multiplexing relationship between the target parameter and at least one protocol parameter of the pre-scanning protocol.

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