US 11,899,085 B2
System and method for magnetic resonance imaging
Yu Ding, Houston, TX (US); Yuan Zheng, Houston, TX (US); Qi Liu, Houston, TX (US); and Jian Xu, Houston, TX (US)
Assigned to SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD., Shanghai (CN)
Filed by SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD., Shanghai (CN)
Filed on Mar. 18, 2020, as Appl. No. 16/823,274.
Application 16/823,274 is a continuation in part of application No. 16/658,297, filed on Oct. 21, 2019.
Prior Publication US 2021/0118203 A1, Apr. 22, 2021
Int. Cl. G01R 33/48 (2006.01); G01R 33/56 (2006.01); G06T 11/00 (2006.01); G01R 33/561 (2006.01); G01R 33/565 (2006.01); G01R 33/483 (2006.01); G01R 33/36 (2006.01); A61B 5/055 (2006.01); G01R 33/563 (2006.01)
CPC G01R 33/4818 (2013.01) [G01R 33/3607 (2013.01); G01R 33/4835 (2013.01); G01R 33/565 (2013.01); G01R 33/5608 (2013.01); G01R 33/5611 (2013.01); G01R 33/5614 (2013.01); G01R 33/5615 (2013.01); G01R 33/5616 (2013.01); G01R 33/5617 (2013.01); G01R 33/5618 (2013.01); G01R 33/5659 (2013.01); G06T 11/003 (2013.01); G06T 11/005 (2013.01); G06T 11/008 (2013.01); A61B 5/055 (2013.01); G01R 33/561 (2013.01); G01R 33/56316 (2013.01); G01R 33/56341 (2013.01); G06T 2207/10076 (2013.01); G06T 2207/10084 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/10124 (2013.01); G06T 2210/41 (2013.01); G06T 2211/408 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system for magnetic resonance imaging (MRI), comprising:
at least one storage device including a set of instructions; and
at least one processor configured to communicate with the at least one storage device, wherein when executing the set of instructions, the at least one processor is configured to direct the system to perform operations including:
obtaining a plurality of sets of under-sampled k-space data corresponding to a plurality of frames, each of the plurality of frame being a time segment during an MRI scan, each of the plurality of sets of under-sampled k-space data being acquired simultaneously from a plurality of slice locations of a subject in one frame of the plurality of frames using an MRI scanner, the plurality of frames including at least one odd frame and at least one even frame, the plurality of sets of under-sampled k-space data including at least one first set of under-sampled k-space data corresponding to the at least one odd frame and at least one second set of under-sampled k-space data corresponding to the at least one even frame, a first sampling pattern that acquires odd PE lines in a k-space matrix being adopted in the at least one odd frame, and a second sampling pattern that acquires even PE lines in the k-space matrix being adopted in the at least one even frame;
generating a first set of reference k-space data corresponding to the at least one odd frame based on the at least one first set of under-sampled k-space data corresponding to the at least one odd frame;
generating a second set of reference k-space data corresponding to the at least one even frame based on the at least one second set of under-sampled k-space data corresponding to the at least one even frame;
reconstructing, based on the first set of reference k-space data and the second set of reference k-space data, a plurality of reference slice images, each of the plurality of reference slice images being representative of one of the plurality of slice locations in more than one frame of the plurality of frames; and
reconstructing, based on the sets of under-sampled k-space data and the plurality of reference slice images, a plurality of image series each of which corresponds to one of the plurality of slice locations and includes a plurality of slice images of the corresponding slice location in the plurality of frames.