Magnetic resonance image reconstruction method, apparatus, device, medium, and program product

Abstract

The application relates to a magnetic resonance image reconstruction method, device, equipment, medium and program product. The method comprises the following steps: acquiring a plurality of groups of magnetic resonance signals of a detection object in at least one physiological cycle, the physiological cycle comprises a plurality of physiological phase periods, and each group of magnetic resonance signals is obtained by sequentially performing flow compensation and flow encoding acquisition on the detection sequence in one physiological phase period; extracting magnetic resonance signals with the same phase encoding position from the plurality of groups of magnetic resonance signals, and forming an intermediate phase magnetic resonance signal; and acquiring a target dynamic image of the detection object according to the plurality of groups of magnetic resonance signals and the intermediate phase magnetic resonance signal. The method can improve the efficiency of acquiring the target dynamic image of the detection object.

Description

Technical Field

[0001] This application relates to the field of magnetic resonance imaging technology, and in particular to a magnetic resonance image reconstruction method, apparatus, device, medium, and program product. Background Technology

[0002] With the development of magnetic resonance imaging (MRI) technology, MRI can use magnetic fields and radio wave energy pulses to image and examine organs and structures inside the human body, and reconstruct images of organs or structures inside the human body.

[0003] In traditional techniques, the encoded lines acquired during each cardiac cycle are normalized according to the acquisition time, and the normalized encoded lines are arranged according to the acquisition time. Then, the encoded lines of adjacent phases are determined according to the time points of the phases to be interpolated, and the determined encoded lines are used to reconstruct the magnetic resonance image.

[0004] However, traditional magnetic resonance reconstruction methods suffer from low reconstruction efficiency. Summary of the Invention

[0005] Therefore, it is necessary to provide a magnetic resonance image reconstruction method, apparatus, device, medium, and program product that can improve the efficiency of magnetic resonance reconstruction in order to address the above-mentioned technical problems.

[0006] In a first aspect, this application provides a magnetic resonance image reconstruction method, the method comprising:

[0007] Multiple sets of magnetic resonance signals of the test object are acquired within at least one physiological cycle. The physiological cycle includes multiple physiological phases, and each set of magnetic resonance signals is acquired by sequentially performing flow compensation and flow encoding on the test sequence within one physiological phase.

[0008] Magnetic resonance signals with the same phase encoding position are extracted from the multiple sets of magnetic resonance signals to form intermediate phase magnetic resonance signals;

[0009] Based on the multiple sets of magnetic resonance signals and the intermediate phase magnetic resonance signal, a target dynamic image of the detected object is obtained.

[0010] In one embodiment, the multiple sets of magnetic resonance signals are acquired within a physiological cycle. The step of extracting magnetic resonance signals with the same phase encoding position from the multiple sets of magnetic resonance signals and forming an intermediate phase magnetic resonance signal includes:

[0011] The first magnetic resonance signal encoding the flow in the current physiological phase and the second magnetic resonance signal compensating for the flow in the next physiological phase are extracted respectively.

[0012] The first magnetic resonance signal and the second magnetic resonance signal are filled into different K spaces to obtain the intermediate phase magnetic resonance signal.

[0013] In one embodiment, the multiple sets of magnetic resonance signals are acquired during adjacent first and second physiological cycles; the step of extracting magnetic resonance signals with the same phase encoding position from the multiple sets of magnetic resonance signals and forming intermediate phase magnetic resonance signals includes:

[0014] For the first physiological cycle, the first magnetic resonance signal encoding the flow in the current physiological phase and the second magnetic resonance signal compensating for the flow in the next physiological phase are extracted respectively.

[0015] For the second physiological cycle, the first magnetic resonance signal corresponding to the flow encoding in the current physiological period and the second magnetic resonance signal corresponding to the flow compensation in the next physiological period are extracted respectively.

[0016] The first magnetic resonance signals of the first physiological cycle and the second physiological cycle are filled into the same K space, and the second magnetic resonance signals of the first physiological cycle and the second physiological cycle are filled into the same K space to obtain the intermediate phase magnetic resonance signal.

[0017] In one embodiment, acquiring the target dynamic image of the detected object based on the multiple sets of magnetic resonance signals and the intermediate phase magnetic resonance signal includes:

[0018] For the multiple sets of magnetic resonance signals and the intermediate phase magnetic resonance signals, the magnetic resonance images corresponding to the flow encoding and the magnetic resonance images corresponding to the flow compensation in each phase are reconstructed respectively.

[0019] Subtract the magnetic resonance image corresponding to the flow code and the magnetic resonance image corresponding to the flow compensation within each phase to determine multiple sets of target images;

[0020] The target dynamic image is composed of multiple sets of target images.

[0021] In one embodiment, the intermediate phase magnetic resonance signal is determined according to the acquisition timing of the magnetic resonance signal.

[0022] In one embodiment, the object of detection is the heart.

[0023] Secondly, this application also provides a magnetic resonance image reconstruction apparatus, the apparatus comprising:

[0024] The acquisition module is used to acquire multiple sets of magnetic resonance signals of the detection object within at least one physiological cycle. The physiological cycle includes multiple physiological phases, and each set of magnetic resonance signals is acquired by sequentially performing flow compensation and flow encoding on the detection sequence within one physiological phase.

[0025] The extraction module is used to extract magnetic resonance signals with the same phase encoding position from the multiple sets of magnetic resonance signals and form intermediate phase magnetic resonance signals;

[0026] The reconstruction module is used to acquire a target dynamic image of the detected object based on the multiple sets of magnetic resonance signals and the intermediate phase magnetic resonance signal.

[0027] Thirdly, this application also provides a computer device, the computer device including a memory and a processor, the memory storing a computer program, and the processor executing the computer program to perform the following steps:

[0028] Multiple sets of magnetic resonance signals of the test object are acquired within at least one physiological cycle. The physiological cycle includes multiple physiological phases, and each set of magnetic resonance signals is acquired by sequentially performing flow compensation and flow encoding on the test sequence within one physiological phase.

[0029] Magnetic resonance signals with the same phase encoding position are extracted from the multiple sets of magnetic resonance signals to form intermediate phase magnetic resonance signals;

[0030] Based on the multiple sets of magnetic resonance signals and the intermediate phase magnetic resonance signal, a target dynamic image of the detected object is obtained.

[0031] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0032] Multiple sets of magnetic resonance signals of the test object are acquired within at least one physiological cycle. The physiological cycle includes multiple physiological phases, and each set of magnetic resonance signals is acquired by sequentially performing flow compensation and flow encoding on the test sequence within one physiological phase.

[0033] Magnetic resonance signals with the same phase encoding position are extracted from the multiple sets of magnetic resonance signals to form intermediate phase magnetic resonance signals;

[0034] Based on the multiple sets of magnetic resonance signals and the intermediate phase magnetic resonance signal, a target dynamic image of the detected object is obtained.

[0035] Fifthly, this application also provides a computer program product, which includes a computer program that, when executed by a processor, performs the following steps:

[0036] Multiple sets of magnetic resonance signals of the test object are acquired within at least one physiological cycle. The physiological cycle includes multiple physiological phases, and each set of magnetic resonance signals is acquired by sequentially performing flow compensation and flow encoding on the test sequence within one physiological phase.

[0037] Magnetic resonance signals with the same phase encoding position are extracted from the multiple sets of magnetic resonance signals to form intermediate phase magnetic resonance signals;

[0038] Based on the multiple sets of magnetic resonance signals and the intermediate phase magnetic resonance signal, a target dynamic image of the detected object is obtained.

[0039] The aforementioned magnetic resonance image reconstruction method, apparatus, device, medium, and program products acquire multiple sets of magnetic resonance signals of the target object within at least one physiological cycle. They can extract magnetic resonance signals with the same phase encoding position from the multiple sets of magnetic resonance signals, thereby forming an intermediate phase magnetic resonance signal using the magnetic resonance signals with the same phase encoding position from the multiple sets of magnetic resonance signals. Furthermore, based on the multiple sets of magnetic resonance signals within at least one physiological cycle and the formed intermediate phase magnetic resonance signal, a target dynamic image of the target object can be acquired. Since the target dynamic image of the target object is acquired based on multiple sets of magnetic resonance signals and the intermediate phase magnetic resonance signal, the amount of data that needs to be processed to acquire the target dynamic image of the target object is reduced, thereby improving the efficiency of acquiring the target dynamic image of the target object. Attached Figure Description

[0040] Figure 1 This is a diagram illustrating the application environment of a magnetic resonance image reconstruction method in one embodiment.

[0041] Figure 2 This is a flowchart illustrating a magnetic resonance image reconstruction method in one embodiment;

[0042] Figure 3 A schematic diagram of the examination sequence used for flow coding and flow compensation during a physiological phase, provided as an embodiment;

[0043] Figure 4 A schematic diagram of magnetic resonance data acquired after the application of an examination sequence for flow compensation within the menstrual phase, as provided in one embodiment of the menstrual cycle.

[0044] Figure 5 This is a flowchart illustrating a magnetic resonance image reconstruction method in another embodiment;

[0045] Figure 6 This is a schematic diagram of reconstructing a magnetic resonance image using an imaging sequence in one embodiment;

[0046] Figure 7 This is a flowchart illustrating a magnetic resonance image reconstruction method in another embodiment;

[0047] Figure 8 This is a flowchart illustrating a magnetic resonance image reconstruction method in another embodiment;

[0048] Figure 9 This is a structural block diagram of a magnetic resonance image reconstruction apparatus in one embodiment. Detailed Implementation

[0049] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0050] The magnetic resonance image reconstruction method provided in this application embodiment can be applied to, for example, Figure 1 The computer device shown includes a processor and a memory connected via a system bus. The memory stores a computer program, and the processor executes the computer program to perform the steps described in the method embodiments below. Optionally, the computer device may further include a network interface, a display screen, and an input device. The processor of the computer device provides computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and 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 computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with external terminals via a network connection. Optionally, the computer device may be a server, a personal computer, a personal digital assistant, or other terminal devices, such as tablet computers, mobile phones, etc., or it may be a cloud or remote server. This application embodiment does not limit the specific form of the computer device.

[0051] Those skilled in the art will understand that Figure 1 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0052] In one embodiment, such as Figure 2 As shown, a magnetic resonance image reconstruction method is provided, which can be applied to... Figure 1 Taking a computer device as an example, the explanation includes the following steps:

[0053] S201, acquire multiple sets of magnetic resonance signals of the test object within at least one physiological cycle. The physiological cycle includes multiple physiological phases, and each set of magnetic resonance signals is acquired by sequentially performing flow compensation and flow encoding on the test sequence within one physiological phase.

[0054] Optionally, the detection object in this embodiment can be the heart, for example, a cardiac simulation model, and the physiological cycle can be the cardiac cycle, which refers to the process experienced by the cardiovascular system from the start of one heartbeat to the start of the next. In one embodiment, the entire cardiac cycle is divided into eight physiological phases: isovolumetric contraction, rapid ejection, slow ejection, prediastole, isovolumetric relaxation, rapid filling, slow filling, and atrial contraction. Magnetic resonance signals can be acquired separately within each physiological phase. Optionally, in this embodiment, the computer device can acquire multiple sets of magnetic resonance signals of the detection object within at least one physiological cycle from the magnetic resonance device, or it can acquire multiple sets of magnetic resonance signals of the detection object within at least one physiological cycle in real time. Optionally, each set of magnetic resonance signals in this embodiment is obtained by sequentially performing flow compensation and flow encoding on the detection sequence within one physiological phase. It is understandable that, since each set of magnetic resonance signals is acquired by sequentially performing flow compensation and flow coding on the detection sequence within a physiological phase, two signals will be acquired within each physiological phase. Furthermore, these two signals can be filled into different K-spaces; that is, flow compensation can contain one K-space, and flow coding can contain another K-space. For example... Figure 3 As shown, Figure 3 This is a schematic diagram of an examination sequence used for flow encoding and flow compensation during a physiological phase, provided in an embodiment of this application. In the diagram, RF represents a radio frequency pulse; GSS represents a layer selection gradient; GPE represents a phase encoding gradient; GRO represents a readout encoding gradient; ADC represents a signal acquisition window; TR1 corresponds to the repetition time of the examination sequence using flow compensation, specifically the time interval between two adjacent executions of the pulse sequence; TR2 corresponds to the repetition time of the examination sequence using flow encoding. The only difference between the examination sequence using flow compensation (TR1) and the examination sequence using flow encoding (TR2) is the first moment of the gradient along the layer selection gradient direction of the liquid flow.

[0055] S202 extracts magnetic resonance signals with the same phase encoding position from multiple sets of magnetic resonance signals and forms intermediate phase magnetic resonance signals.

[0056] Optionally, the intermediate phase magnetic resonance signal in this embodiment can be determined based on the acquisition timing of the multiple sets of magnetic resonance signals. Optionally, in this embodiment, based on the marking information during magnetic resonance signal acquisition, the same phase encoding line for the intermediate cardiac cycle can be interpolated from the multiple sets of magnetic resonance signals using the same phase encoding line in adjacent cardiac cycles. By sequentially interpolating different phase encoding lines, the complete K-space is obtained, and magnetic resonance signals with the same phase encoding position are extracted. For example, magnetic resonance signals with the same marking information can be identified as magnetic resonance signals with the same phase encoding position. Optionally, the computer device can generate the intermediate phase magnetic resonance signal based on magnetic resonance signals within the same physiological cycle from multiple sets of magnetic resonance signals, or it can generate the intermediate phase magnetic resonance signal based on magnetic resonance signals within different physiological cycles from multiple sets of magnetic resonance signals. Furthermore, as an optional implementation, the computer device can generate an intermediate phase magnetic resonance signal based on the flow-coded magnetic resonance signals within adjacent physiological phases of the same physiological cycle from multiple sets of magnetic resonance signals; alternatively, the computer device can also generate an intermediate phase magnetic resonance signal based on the flow-coded magnetic resonance signals within adjacent physiological phases of each different physiological cycle from multiple sets of magnetic resonance signals. For example... Figure 4As shown in the figure, PEm represents the phase encoding position, m is the K-space data line index along the phase encoding gradient direction, and the direction perpendicular to the phase encoding gradient direction is the readout gradient direction / frequency encoding direction position. In one embodiment, a physiological cycle includes 5 physiological phases, P1-P5, and the sampling trajectory satisfies the Cartesian sampling trajectory. The value of m ranges from -127 to +128. For each physiological cycle, the data collected after applying the flow compensation examination sequence in the P1 physiological phase are A1,1, A2,1, A3,1…An,1, where n represents the number of physiological cycles included in this scan. The data collected in the P2 physiological phase are A1,2, A2,2, A3,2…An,2. The data collected in the P3 physiological phase are A1,3, A2,3, A3,3…An,3. The data A1,1, A2,1, A3,1...An,1 collected during the P1 menstrual phase are sequentially filled into the K-space to obtain K-space data K1; the data A1,2,A2,2,A3,2...An,2 collected during the P2 menstrual phase are sequentially filled into the K-space to obtain K-space data K3; the data A1,3,A2,3,A3,3...An,3 collected during the P3 menstrual phase are sequentially filled into the K-space to obtain K-space data K5. The data collected after applying the flow-coded examination sequence during the P1 menstrual phase are B1,1, B2,1, B3,1...Bn,1, where n represents the number of menstrual cycles included in this scan. The data collected after applying the flow-coded examination sequence during the P2 menstrual phase are B1,2,B2,2,B3,2...Bn,2. The data collected after applying the examination sequence for the flow coding within the P3 menstrual phase are B1,3, B2,3, B3,3...Bn,3. The data corresponding to the flow coding collected within the P1 menstrual phase, B1,1, B2,1, B3,1...Bn,1, are sequentially filled into the K-space to obtain K-space data K2; the data corresponding to the flow coding collected within the P2 menstrual phase, B1,2,2, B3,2...Bn,2, are sequentially filled into the K-space to obtain K-space data K4; and the data corresponding to the flow coding collected within the P3 menstrual phase, B1,3, B2,3, B3,3...Bn,3, are sequentially filled into the K-space to obtain K-space data K6. K1 and K2 form a K-space data pair for the first physiological phase. After reconstruction, the target image for the first physiological phase can be obtained by comparing the image differences between the two K-space data pairs. K3 and K4 form a K-space data pair for the second physiological phase. After reconstruction, the target image for the second physiological phase can be obtained by comparing the image differences between the two K-space data pairs. K5 and K6 form a K-space data pair for the third physiological phase. After reconstruction, the target image for the third physiological phase can be obtained by comparing the image differences between the two K-space data pairs.Furthermore, K3 and K2 form a K-space data pair for intermediate physiological phase 1 (between the first and second physiological phases). After the two K-space data are reconstructed, the target image of intermediate physiological phase 1 can be obtained by comparing the image differences. K4 and K5 form a K-space data pair for intermediate physiological phase 2 (between the first and second physiological phases). After the two K-space data are reconstructed, the target image of intermediate physiological phase 2 can be obtained by comparing the image differences. In this embodiment, by combining and designing the K-space data, the resolution can be improved while ensuring the authenticity of the data.

[0057] It is understandable that when filling the K-space data pairs for the first physiological phase (K1 and K2), the second physiological phase (K3 and K4), the third physiological phase (K5 and K6), the intermediate physiological phase 1 (K3 and K2), and the intermediate physiological phase 2 (K4 and K5), the phase encoding positions of the data lines do not change but remain consistent. That is, the phase encoding positions of the K-space data in the intermediate physiological phases do not shift from the phase encoding positions of the originally acquired magnetic resonance signals, and the filling data is the same, ensuring the consistency of K-space data between adjacent phases. It should be noted that in the embodiments of this application, the filling of K-space data in K-space can satisfy the Nyquist sampling law or an undersampling rate with a set acceleration factor. Furthermore, the sampling trajectory is not limited to a Cartesian sampling trajectory; spiral sampling trajectories, radial sampling trajectories, etc., can also be used.

[0058] In another embodiment, the K-space data pairs constituting the intermediate physiological phase are not limited to flow-coded data and flow-compensated data that are adjacent in acquisition time. For example, flow-coded data and flow-compensated data that are spaced apart in acquisition time can be used to form new K-space data pairs for the intermediate physiological phase. This process is repeated to obtain dynamic images at different resolutions.

[0059] S203: Based on multiple sets of magnetic resonance signals and intermediate phase magnetic resonance signals, acquire the target dynamic image of the object being detected.

[0060] Optionally, the computer device can reconstruct the flow-coded and flow-compensated magnetic resonance images corresponding to the aforementioned multiple physiological phases based on multiple sets of magnetic resonance signals and intermediate phase magnetic resonance signals. Based on the flow-coded and flow-compensated magnetic resonance images corresponding to each physiological phase, a target dynamic image of the object being detected can be obtained. Alternatively, the computer device can fill the aforementioned multiple sets of magnetic resonance signals and intermediate phase magnetic resonance signals into a K-space, and use the filled K-space to obtain a target dynamic image of the object being detected.

[0061] In the aforementioned magnetic resonance image reconstruction method, by acquiring multiple sets of magnetic resonance signals of the detected object within at least one physiological cycle, magnetic resonance signals with the same phase encoding position can be extracted from the multiple sets of magnetic resonance signals. Thus, an intermediate phase magnetic resonance signal can be formed using the magnetic resonance signals with the same phase encoding position from the multiple sets of magnetic resonance signals. Furthermore, based on the multiple sets of magnetic resonance signals within at least one physiological cycle and the formed intermediate phase magnetic resonance signal, the target dynamic image of the detected object can be acquired. Since the target dynamic image of the detected object is acquired based on multiple sets of magnetic resonance signals and the intermediate phase magnetic resonance signal, the amount of data that needs to be processed to acquire the target dynamic image of the detected object is reduced, thereby improving the efficiency of acquiring the target dynamic image of the detected object.

[0062] The aforementioned multiple sets of magnetic resonance signals can be acquired within one physiological cycle or within multiple physiological cycles. The method of forming the intermediate phase magnetic resonance signal differs depending on the acquisition method of the multiple sets of magnetic resonance signals. The following will describe these two methods of forming the intermediate phase magnetic resonance signal. In one embodiment, the aforementioned multiple sets of magnetic resonance signals are acquired within one physiological cycle, as follows... Figure 5 As shown, the above S202 includes:

[0063] S301, extract the first magnetic resonance signal encoding the intraphase flow of the current physiological period and the second magnetic resonance signal compensating for the intraphase flow of the next physiological period, respectively.

[0064] It is understood that the magnetic resonance signal corresponding to each physiological phase includes a flow-coded magnetic resonance signal and a flow-compensated magnetic resonance signal. In this embodiment, when multiple sets of magnetic resonance signals are acquired within a physiological cycle, the computer device can take any physiological phase within that physiological cycle as the current physiological phase and extract the first flow-coded magnetic resonance signal within the current physiological phase and the second flow-compensated magnetic resonance signal within the next physiological phase adjacent to the current physiological phase.

[0065] S302, the first magnetic resonance signal and the second magnetic resonance signal are filled into different K spaces respectively to obtain the intermediate phase magnetic resonance signal.

[0066] In this context, K-space, also known as Fourier space, is the filling space for the original digital data of magnetic resonance (MR) signals containing spatial positioning coding information. Performing a Fourier transform on the K-space data decodes the spatial positioning coding information in the original digital data, decomposing it into MR signals of different frequencies, phases, and amplitudes. Different frequencies and phases represent different spatial locations, while amplitude represents the MR signal intensity. Optionally, in this embodiment, the computer device can fill the first MR signal into the first K-space, fill the second MR signal into the second K-space, and obtain the intermediate phase MR signal based on the MR signals in the first and second K-spaces. Optionally, the computer device can merge the MR signals in the first and second K-spaces to obtain the intermediate phase MR signal.

[0067] For example, such as Figure 6 As shown, the physiological motion curve is a schematic diagram of an ECG curve obtained using an electrocardiogram (ECG) device, specifically a PQRST waveform diagram, which includes the P wave, PR interval, QRS complex, J point, ST segment, T wave, U wave, and QT interval. The peaks of the curves in the figure are R wave peaks, and the interval between two R wave peaks represents one physiological cycle. The boxes in the first row represent the flow-coded magnetic resonance (MRI) signal and the flow-compensated MRI signal within each physiological phase. The boxes in the second row represent the intermediate phase MRI signals obtained based on the first MRI signal of the flow-coded phase within the current physiological phase and the second MRI signal of the flow-compensated phase within the next physiological phase.

[0068] In this embodiment, the process of extracting the first magnetic resonance signal encoding the flow in the current physiological phase and the second magnetic resonance signal compensating for the flow in the next physiological phase is relatively simple. Therefore, the first magnetic resonance signal encoding the flow in the current physiological phase and the second magnetic resonance signal compensating for the flow in the next physiological phase can be obtained quickly, which improves the efficiency of obtaining the first and second magnetic resonance signals. This, in turn, improves the efficiency of filling the first and second magnetic resonance signals into different K spaces to obtain the intermediate phase magnetic resonance signal.

[0069] In one embodiment, the aforementioned multiple sets of magnetic resonance signals are acquired within adjacent first and second physiological cycles, then as follows: Figure 7 As shown, the above S202 includes:

[0070] S401, for the first physiological cycle, extract the first magnetic resonance signal encoding the intraphase flow of the current physiological period and the second magnetic resonance signal compensating for the intraphase flow of the next physiological period.

[0071] It is understandable that the first physiological cycle includes multiple physiological phases. The computer device can take any one of the multiple physiological phases in the first physiological cycle as the current physiological phase and extract the first magnetic resonance signal of flow encoding in the current physiological phase and the second magnetic resonance signal of flow compensation in the next physiological phase adjacent to the current physiological phase.

[0072] S402, for the second physiological cycle, extract the first magnetic resonance signal corresponding to the flow encoding in the current physiological period and the second magnetic resonance signal corresponding to the flow compensation in the next physiological period.

[0073] Similarly, the second physiological cycle also includes multiple physiological phases. The computer device can determine from the multiple physiological phases included in the second physiological cycle the physiological phase corresponding to the current physiological phase in the first physiological cycle, as well as the physiological phase corresponding to the next physiological phase in the first physiological cycle, and extract the first magnetic resonance signal corresponding to the flow encoding in the current physiological phase and the second magnetic resonance signal corresponding to the flow compensation in the next physiological phase.

[0074] S403, fill the first magnetic resonance signals of the first physiological cycle and the second physiological cycle into the same K space, and fill the second magnetic resonance signals of the first physiological cycle and the second physiological cycle into the same K space to obtain the intermediate phase magnetic resonance signal.

[0075] Optionally, in this embodiment, the computer device can fill the first magnetic resonance signal extracted from the first physiological cycle and the first magnetic resonance signal extracted from the second physiological cycle into the first K-space, and fill the second magnetic resonance signal extracted from the second physiological cycle into the second K-space, and obtain the intermediate phase magnetic resonance signal based on the MR signals in the first K-space and the second K-space. Optionally, the computer device can merge the MR signals in the first K-space and the second K-space to obtain the intermediate phase magnetic resonance signal.

[0076] In this embodiment, the process of extracting the first magnetic resonance signal of the current physiological phase flow encoding and the second magnetic resonance signal of the next physiological phase flow compensation for the first physiological cycle is relatively simple. Similarly, the process of extracting the first magnetic resonance signal of the current physiological phase flow encoding and the second magnetic resonance signal of the next physiological phase flow compensation for the second physiological cycle is also relatively simple. Therefore, the first magnetic resonance signals of the first physiological cycle and the second magnetic resonance signals of the second physiological cycle can be obtained quickly. Thus, the first magnetic resonance signals of the first physiological cycle and the second magnetic resonance signals of the second physiological cycle can be quickly filled into the same K-space, and the second magnetic resonance signals of the first physiological cycle and the second physiological cycle can be filled into the same K-space to obtain the intermediate phase magnetic resonance signal, thereby improving the efficiency of obtaining the intermediate phase magnetic resonance signal.

[0077] In the scenario described above, where a dynamic image of the target object is obtained based on multiple sets of magnetic resonance signals and intermediate phase magnetic resonance signals, such as... Figure 8 As shown, the above S203 includes:

[0078] S501, for multiple sets of magnetic resonance signals and intermediate phase magnetic resonance signals, reconstruct the magnetic resonance image corresponding to the flow encoding and the magnetic resonance image corresponding to the flow compensation within each phase.

[0079] In this embodiment, the computer device can use any image reconstruction algorithm to reconstruct the flow-coded magnetic resonance signal, the flow-compensated magnetic resonance signal, and the flow-coded magnetic resonance signal and the flow-compensated magnetic resonance signal corresponding to each phase of the above multiple sets of magnetic resonance signals, so as to obtain the flow-coded magnetic resonance image and the flow-compensated magnetic resonance image corresponding to each phase.

[0080] S502, subtract the magnetic resonance image corresponding to the flow code and the magnetic resonance image corresponding to the flow compensation within each phase to determine multiple sets of target images.

[0081] In this embodiment, the computer device determines the difference image between the magnetic resonance image corresponding to the flow encoding in each phase and the magnetic resonance image corresponding to the flow compensation in each phase as the target image, thereby combining the target images corresponding to each phase to obtain multiple sets of target images.

[0082] S503, multiple sets of target images form a target dynamic image.

[0083] In this embodiment, the computer device combines the multiple sets of target images obtained above into a target dynamic image. Optionally, the computer device can fuse the multiple sets of target images to obtain the target dynamic image, or it can stitch the multiple sets of target images together to obtain the target dynamic image.

[0084] In this embodiment, the process of reconstructing the corresponding flow-coded magnetic resonance image and the corresponding flow-compensated magnetic resonance image within each phase for multiple sets of magnetic resonance signals and intermediate phase magnetic resonance signals is very simple. This allows for the rapid acquisition of the corresponding flow-coded magnetic resonance image and the corresponding flow-compensated magnetic resonance image within each phase. Furthermore, the corresponding flow-coded magnetic resonance image and the corresponding flow-compensated magnetic resonance image within each phase can be subtracted to quickly determine multiple sets of target images, thereby improving the efficiency of determining multiple sets of target images and thus improving the efficiency of assembling multiple sets of target images into a target dynamic image.

[0085] It should be understood that although the steps in the flowcharts of the above embodiments are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0086] Based on the same inventive concept, this application also provides a magnetic resonance image reconstruction apparatus for implementing the magnetic resonance image reconstruction method described above. The solution provided by this apparatus is similar to the implementation scheme described in the above method; therefore, the specific limitations in one or more embodiments of the magnetic resonance image reconstruction apparatus provided below can be found in the limitations of the magnetic resonance image reconstruction method described above, and will not be repeated here.

[0087] In one embodiment, such as Figure 9 As shown, a magnetic resonance image reconstruction device is provided, comprising: an acquisition module, an extraction module, and a reconstruction module, wherein:

[0088] The acquisition module is used to acquire multiple sets of magnetic resonance signals of the detection object within at least one physiological cycle. The physiological cycle includes multiple physiological phases, and each set of magnetic resonance signals is acquired by sequentially performing flow compensation and flow encoding on the detection sequence within one physiological phase.

[0089] The extraction module is used to extract magnetic resonance signals with the same phase encoding position from multiple sets of magnetic resonance signals and form intermediate phase magnetic resonance signals;

[0090] The reconstruction module is used to acquire the target dynamic image of the object being detected based on multiple sets of magnetic resonance signals and intermediate phase magnetic resonance signals.

[0091] Optionally, the intermediate phase magnetic resonance signal is determined based on the acquisition timing of the magnetic resonance signal.

[0092] Optional, the test subject is the heart.

[0093] The magnetic resonance image reconstruction device provided in this embodiment can perform the above method embodiment, and its implementation principle and technical effect are similar, so it will not be described again here.

[0094] Based on the above embodiments, optionally, the above multiple sets of magnetic resonance signals are acquired within one physiological cycle, and the above extraction module includes: a first extraction unit and a first acquisition unit, wherein:

[0095] The first extraction unit is used to extract the first magnetic resonance signal encoding the flow in the current physiological phase and the second magnetic resonance signal compensating for the flow in the next physiological phase, respectively.

[0096] The first acquisition unit is used to fill the first magnetic resonance signal and the second magnetic resonance signal into different K spaces to acquire the intermediate phase magnetic resonance signal.

[0097] The magnetic resonance image reconstruction device provided in this embodiment can perform the above method embodiment, and its implementation principle and technical effect are similar, so it will not be described again here.

[0098] Based on the above embodiments, optionally, the multiple sets of magnetic resonance signals are acquired within adjacent first and second physiological cycles; the extraction module includes: a second extraction unit, a third extraction unit, and a second acquisition unit, wherein:

[0099] The second extraction unit is used to extract, for the first physiological cycle, the first magnetic resonance signal encoding the flow in the current physiological phase and the second magnetic resonance signal compensating for the flow in the next physiological phase.

[0100] The third extraction unit is used to extract, for the second physiological cycle, the first magnetic resonance signal corresponding to the flow encoding in the current physiological period and the second magnetic resonance signal corresponding to the flow compensation in the next physiological period.

[0101] The second acquisition unit is used to fill the first magnetic resonance signals of the first physiological cycle and the second physiological cycle into the same K space, and to fill the second magnetic resonance signals of the first physiological cycle and the second physiological cycle into the same K space to acquire the intermediate phase magnetic resonance signal.

[0102] The magnetic resonance image reconstruction device provided in this embodiment can perform the above method embodiment, and its implementation principle and technical effect are similar, so it will not be described again here.

[0103] Based on the above embodiments, optionally, the reconstruction module includes: a reconstruction unit, a determination unit, and a component unit, wherein:

[0104] The reconstruction unit is used to reconstruct the magnetic resonance image corresponding to the flow encoding and the magnetic resonance image corresponding to the flow compensation in each phase for multiple sets of magnetic resonance signals and intermediate phase magnetic resonance signals.

[0105] The determination unit is used to subtract the magnetic resonance image corresponding to the flow code and the magnetic resonance image corresponding to the flow compensation within each phase to determine multiple sets of target images.

[0106] Composition unit, used to compose a target dynamic image from multiple target images.

[0107] The magnetic resonance image reconstruction device provided in this embodiment can perform the above method embodiment, and its implementation principle and technical effect are similar, so it will not be described again here.

[0108] Each module in the aforementioned magnetic resonance imaging reconstruction device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0109] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0110] Multiple sets of magnetic resonance signals of the test subject are acquired within at least one physiological cycle. The physiological cycle includes multiple physiological phases, and each set of magnetic resonance signals is acquired by sequentially performing flow compensation and flow encoding on the test sequence within one physiological phase.

[0111] Extract magnetic resonance signals with the same phase encoding position from multiple sets of magnetic resonance signals and form intermediate phase magnetic resonance signals;

[0112] Based on multiple sets of magnetic resonance signals and intermediate phase magnetic resonance signals, a target dynamic image of the object to be detected is obtained.

[0113] The computer device provided in the above embodiments has similar implementation principles and technical effects to the above method embodiments, and will not be described again here.

[0114] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0115] Multiple sets of magnetic resonance signals of the test subject are acquired within at least one physiological cycle. The physiological cycle includes multiple physiological phases, and each set of magnetic resonance signals is acquired by sequentially performing flow compensation and flow encoding on the test sequence within one physiological phase.

[0116] Extract magnetic resonance signals with the same phase encoding position from multiple sets of magnetic resonance signals and form intermediate phase magnetic resonance signals;

[0117] Based on multiple sets of magnetic resonance signals and intermediate phase magnetic resonance signals, a target dynamic image of the object to be detected is obtained.

[0118] The computer-readable storage medium provided in the above embodiments has similar implementation principles and technical effects to the above method embodiments, and will not be described again here.

[0119] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, performs the following steps:

[0120] Multiple sets of magnetic resonance signals of the test subject are acquired within at least one physiological cycle. The physiological cycle includes multiple physiological phases, and each set of magnetic resonance signals is acquired by sequentially performing flow compensation and flow encoding on the test sequence within one physiological phase.

[0121] Extract magnetic resonance signals with the same phase encoding position from multiple sets of magnetic resonance signals and form intermediate phase magnetic resonance signals;

[0122] Based on multiple sets of magnetic resonance signals and intermediate phase magnetic resonance signals, a target dynamic image of the object to be detected is obtained.

[0123] 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, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0124] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile 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. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0125] The technical features of the above embodiments can be combined in any way. For the sake of brevity, 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 specification.

[0126] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A magnetic resonance image reconstruction method, characterized in that, The method includes: Multiple sets of magnetic resonance signals of the test object are acquired within at least one physiological cycle. The physiological cycle includes multiple physiological phases, and each set of magnetic resonance signals is acquired by sequentially performing flow compensation and flow encoding on the test sequence within one physiological phase. Magnetic resonance signals with the same phase encoding position are extracted from the multiple sets of magnetic resonance signals to form intermediate phase magnetic resonance signals; Based on the multiple sets of magnetic resonance signals and the intermediate phase magnetic resonance signal, a target dynamic image of the detected object is obtained.

2. The method according to claim 1, characterized in that, The multiple sets of magnetic resonance signals are acquired within one physiological cycle. The step of extracting magnetic resonance signals with the same phase encoding position from the multiple sets of magnetic resonance signals and forming an intermediate phase magnetic resonance signal includes: The first magnetic resonance signal encoding the flow in the current physiological phase and the second magnetic resonance signal compensating for the flow in the next physiological phase are extracted respectively. The first magnetic resonance signal and the second magnetic resonance signal are filled into different K spaces to obtain the intermediate phase magnetic resonance signal.

3. The method according to claim 1, characterized in that, The multiple sets of magnetic resonance signals are acquired during adjacent first and second physiological cycles; the extraction of magnetic resonance signals with the same phase encoding position from the multiple sets of magnetic resonance signals to form intermediate phase magnetic resonance signals includes: For the first physiological cycle, the first magnetic resonance signal encoding the flow in the current physiological phase and the second magnetic resonance signal compensating for the flow in the next physiological phase are extracted respectively. For the second physiological cycle, the first magnetic resonance signal corresponding to the flow encoding in the current physiological period and the second magnetic resonance signal corresponding to the flow compensation in the next physiological period are extracted respectively. The first magnetic resonance signals of the first physiological cycle and the second physiological cycle are filled into the same K space, and the second magnetic resonance signals of the first physiological cycle and the second physiological cycle are filled into the same K space to obtain the intermediate phase magnetic resonance signal.

4. The method according to claim 1, characterized in that, The step of acquiring the target dynamic image of the detected object based on the multiple sets of magnetic resonance signals and the intermediate phase magnetic resonance signal includes: For the multiple sets of magnetic resonance signals and the intermediate phase magnetic resonance signals, the magnetic resonance images corresponding to the flow encoding and the magnetic resonance images corresponding to the flow compensation in each phase are reconstructed respectively. Subtract the magnetic resonance image corresponding to the flow code and the magnetic resonance image corresponding to the flow compensation within each phase to determine multiple sets of target images; The target dynamic image is composed of multiple sets of target images.

5. The method according to claim 1, characterized in that, The intermediate phase magnetic resonance signal is determined based on the acquisition timing of the magnetic resonance signal.

6. The method according to any one of claims 1-5, characterized in that, The object being tested is the heart.

7. A magnetic resonance image reconstruction device, characterized in that, The device includes: The acquisition module is used to acquire multiple sets of magnetic resonance signals of the detection object within at least one physiological cycle. The physiological cycle includes multiple physiological phases, and each set of magnetic resonance signals is acquired by sequentially performing flow compensation and flow encoding on the detection sequence within one physiological phase. The extraction module is used to extract magnetic resonance signals with the same phase encoding position from the multiple sets of magnetic resonance signals and form intermediate phase magnetic resonance signals; The reconstruction module is used to acquire a target dynamic image of the detected object based on the multiple sets of magnetic resonance signals and the intermediate phase magnetic resonance signal.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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