发明名称 MAGNETIC RESONANCE IMAGING DEVICE AND METHOD FOR GENERATING MAGNETIC RESONANCE IMAGE
摘要 Provided is a magnetic resonance imaging (MRI) apparatus including an acquisition unit configured to acquire an undersampled spectrum in a k-space and a reconstruction unit configured to generate a target image based on the undersampled spectrum, wherein the reconstruction unit includes: a first sub-reconstruction unit configured to perform initial reconstruction on data corresponding to unsampled positions in the k-space by using a Split Bregman algorithm or approximate sparse coding; a second sub-reconstruction unit configured to decompose the initially reconstructed spectrum in the k-space into multiple frequency bands to thereby generate a plurality of individual spectra and perform dictionary learning reconstruction on images respectively corresponding to the decomposed multiple frequency bands by alternating sparse approximation and reconstructing of measured frequencies; and an image generator configured to generate a target image by merging together the reconstructed images respectively corresponding to the multiple frequency bands.
申请公布号 US2017053402(A1) 申请公布日期 2017.02.23
申请号 US201515307936 申请日期 2015.04.30
申请人 SAMSUNG ELECTRONICS CO., LTD. 发明人 MIGUKIN Artem Sergeevich;KOROBCHENKO Dmitry Alexandrovich;SIROTENKO Mikhail Yurievich;GAVRILYUK Kirill Arthurovich;GULAKA Praveen;CHOI Sang-cheon;RYCHAGOV Michail Nikolaevich;CHOI Yang Lim
分类号 G06T7/00;A61B5/00;G06T11/00;A61B5/055 主分类号 G06T7/00
代理机构 代理人
主权项 1. A magnetic resonance imaging (MRI) apparatus comprising: an acquisition unit configured to acquire an undersampled spectrum in a k-space; and a reconstruction unit configured to generate a target image based on the undersampled spectrum, wherein the reconstruction unit comprises: a first sub-reconstruction unit configured to perform initial reconstruction on data corresponding to unsampled positions in the k-space by using a Split Bregman algorithm or approximate sparse coding; a second sub-reconstruction unit configured to decompose the initially reconstructed spectrum in the k-space into multiple frequency bands to thereby generate a plurality of individual spectra and perform dictionary learning reconstruction on images respectively corresponding to the decomposed multiple frequency bands by alternating sparse approximation and reconstructing of measured frequencies; and an image generator configured to generate a target image by merging together the reconstructed images respectively corresponding to the multiple frequency bands.
地址 Suwon-si KR
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