Scalable self-calibrated interpolation of undersampled magnetic resonance imaging data
US-2020333416-A1 · Oct 22, 2020 · US
US12167909B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12167909-B2 |
| Application number | US-202217929679-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 2, 2022 |
| Priority date | Sep 2, 2021 |
| Publication date | Dec 17, 2024 |
| Grant date | Dec 17, 2024 |
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The present disclosure may provide imaging methods, systems and storage media. The imaging methods may include: obtaining first imaging data acquired by an imaging device, wherein the first imaging data includes data corresponding to a plurality of cardiac cycles; and performing image reconstruction on data corresponding to the plurality of cardiac cycles in the first imaging data to acquire one or more cardiac cines. Each cardiac cine of the one or more cardiac cines may include cardiac images of a plurality of phases in at least one cardiac cycle.
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What is claimed is: 1. An imaging method, comprising: obtaining first imaging data acquired by an imaging device, wherein the first imaging data includes data corresponding to a plurality of cardiac cycles; performing image reconstruction on data corresponding to a plurality of time points in the first imaging data to acquire a first cine, wherein the first cine includes cardiac images corresponding to the plurality of time points, and there is a fixed time interval between adjacent time points among the plurality of time points; generating a second cine that includes cardiac images of a plurality of phases in at least one cardiac cycle based on the first cine and reference information, wherein the reference information is used to locate one or more phases of the plurality of cardiac cycles. 2. The method of claim 1 , wherein the first imaging data includes a first data segment and a second data segment, wherein the first data segment and the second data segment correspond to a same phase of one or more cardiac cycles; the first data segment is acquired according to a first distribution, the second data segment is acquired according to a second distribution, the first distribution and the second distribution being different sampling manners in k-space; at least one of the first distribution and the second distribution satisfies an integrity requirement for reconstructing a first image, the first image belonging to the first cine; and the first data segment and the second data segment are used to reconstruct a second image, the second image belonging to the second cine. 3. The method of claim 2 , wherein an acquisition rate of a union of the first distribution and the second distribution in a central region of k-space is higher than an acquisition rate in an edge region. 4. The method of claim 1 , further comprising: acquiring the reference information, the reference information including a cardiac motion signal; and determining the plurality of phases from the first imaging data based on the reference information. 5. The method of claim 1 , wherein the reference information includes a cardiac motion signal determined based on the first cine. 6. The method of claim 1 , further comprising: acquiring the first imaging data by performing abnormal processing on second imaging data acquired from the imaging device. 7. The method of claim 6 , wherein the abnormal processing includes removing abnormal data, the abnormal data including data corresponding to abnormal heart rhythms or abnormal breathing. 8. The method of claim 1 , wherein the generating a second cine comprises: performing conversion processing based on the first cine to acquire third imaging data, the third imaging data including k-space data, the conversion processing including an inverse reconstruction of k-space data based on a third image, the third image being an image in the first cine acquired at a selected time point; combining a plurality of parts of the third imaging data corresponding to a same phase in the plurality of cardiac cycles according to the reference information to acquire fourth imaging data; and performing image reconstruction on the fourth imaging data to obtain the second cine. 9. The method of claim 8 , wherein the conversion processing further includes: extracting a respiratory motion signal from the first cine before the inverse reconstruction; performing respiratory motion compensation on at least a part of the third image according to a cardiac motion signal and the respiratory motion signal. 10. The method of claim 1 , further comprising: determining at least one of the first cine or the second cine for output to a user based on one or more quality evaluation results of the first cine and the second cine. 11. The method of claim 1 , further comprising: acquiring at least one of a cardiac motion signal or a respiratory motion signal for quality evaluation. 12. The method of claim 1 , wherein the first cine is a real-time dynamic cine, and the second cine is an ECG gated cardiac cine. 13. The method of claim 12 , wherein the first imaging data is acquired using an imaging manner corresponding to the real-time dynamic cine. 14. An imaging system comprising: at least one storage device including a set of instructions; at least one processor in communication with the at least one storage device, wherein when executing the set of instructions, the at least one processor is configured to cause the system to perform operations including: obtain first imaging data acquired by an imaging device, wherein the first imaging data includes data corresponding to a plurality of cardiac cycles; and perform image reconstruction based on data corresponding to a plurality of time points in the first imaging data to acquire a first cine, wherein the first cine includes cardiac images corresponding to the plurality of time points, and there is a fixed time interval between adjacent time points among the plurality of time points; generate a second cine that includes cardiac images of a plurality of phases in at least one cardiac cycle based on the first cine and reference information, wherein the reference information is used to locate one or more phases of the plurality of cardiac cycles. 15. The system of claim 14 , wherein the first imaging data includes a first data segment and a second data segment, wherein the first data segment and the second data segment correspond to a same phase of one or more cardiac cycles; the first data segment is acquired according to a first distribution, the second data segment is acquired according to a second distribution, the first distribution and the second distribution being different sampling manners in k-space; at least one of the first distribution and the second distribution satisfies an integrity requirement for reconstructing a first image, the first image belonging to the first cine; and the first data segment and the second data segment are used to reconstruct a second image, the second image belonging to the second cine. 16. The system of claim 15 , wherein an acquisition rate of a union of the first distribution and the second distribution in a central region of k-space is higher than an acquisition rate in an edge region. 17. The system of claim 14 , further comprising: acquiring the reference information, the reference information including a cardiac motion signal; and determining the plurality of phases from the first imaging data based on the reference information. 18. The system of claim 14 , wherein the generating a second cine comprises: performing conversion processing based on the first cine to acquire third imaging data, the third imaging data including k-space data, the conversion processing including an inverse reconstruction of k-space data based on a third image, the third image being an image in the first cine acquired at a selected time point; combining a plurality of parts of the third imaging data corresponding to a same phase in the plurality of cardiac cycles according to the reference information to acquire fourth imaging data; and performing image reconstruction on the fourth imaging data to obtain the second cine. 19. The system of claim 18 , wherein the conversion processing further includes: extracting a respiratory motion signal from the first cine before the inverse reconstruction; performing respiratory motion compensation on at least a part of the third image according to a cardiac motion signal and the respiratory motion signal.
Characterization of motion or flow; Dynamic imaging · CPC title
for synchronizing or triggering a physiological measurement or image acquisition with a physiological event or waveform, e.g. an ECG signal · CPC title
Gating or triggering based on a physiological signal other than an MR signal, e.g. ECG gating or motion monitoring using optical systems for monitoring the motion of a fiducial marker · CPC title
for computer-aided diagnosis, e.g. based on medical expert systems · CPC title
for processing medical images, e.g. editing · CPC title
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