US 12,442,879 B2
System and method for magnetic resonance imaging acceleration
Guobin Li, Shanghai (CN); Jinguang Zong, Shanghai (CN); and Zhaopeng Li, Shanghai (CN)
Assigned to SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD., Shanghai (CN)
Filed by SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD., Shanghai (CN)
Filed on May 9, 2022, as Appl. No. 17/662,649.
Application 17/662,649 is a division of application No. 15/826,783, filed on Nov. 30, 2017, granted, now 11,327,132.
Application 15/826,783 is a continuation of application No. PCT/CN2017/090936, filed on Jun. 29, 2017.
Prior Publication US 2022/0268866 A1, Aug. 25, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G01R 33/48 (2006.01); G01R 33/56 (2006.01); G01R 33/561 (2006.01); G06T 5/70 (2024.01)
CPC G01R 33/4818 (2013.01) [G01R 33/5608 (2013.01); G01R 33/561 (2013.01); G01R 33/5611 (2013.01); G06T 5/70 (2024.01); G06T 2207/10088 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A system, comprising:
at least one non-transitory computer-readable storage medium including a set of instructions; and
at least one processor in communication with the at least one non-transitory computer-readable storage medium, wherein when executing the instructions, the system is directed to:
obtain imaging data of a subject, or a portion thereof, captured by an MRI system according to an undersampling pattern, the undersampling pattern comprises a region of a regular undersampling pattern and a region of an irregular undersampling pattern;
execute a first iterative procedure comprising:
performing a soft-thresholding de-noising operation on a sparsifying transform domain of the imaging data; and
determining a first iteration number of the soft-thresholding de-noising operation;
determine that the first iteration number meets a first threshold;
execute, in response to the determination that the first iteration number meets the first threshold, a second iterative procedure comprising:
performing a total variation algorithm on the de-noised imaging data to provide processed imaging data; and
determining a second iteration number of the total variation operation;
determine that a sum of the first iteration number and the second iteration number meets a second threshold; and
generate a reconstruction image of the subject, or a portion thereof, according to a parallel imaging procedure coupled with a half-Fourier imaging procedure based on the processed imaging data,
wherein the first threshold is lower than the second threshold.