The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 03, 2021

Filed:

Apr. 30, 2015
Applicant:

Samsung Electronics Co., Ltd., Suwon-si, KR;

Inventors:

Artem Sergeevich Migukin, St. Petersburg, RU;

Dmitry Alexandrovich Korobchenko, Moscow, RU;

Mikhail Yurievich Sirotenko, Moscow, RU;

Kirill Arthurovich Gavrilyuk, Moscow, RU;

Praveen Gulaka, Suwon-si, KR;

Sang-cheon Choi, Seoul, KR;

Michail Nikolaevich Rychagov, Moscow, RU;

Yang Lim Choi, Seongnam-si, KR;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); A61B 5/055 (2006.01); A61B 5/00 (2006.01); G01R 33/561 (2006.01); G06T 11/00 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 5/055 (2013.01); A61B 5/7257 (2013.01); G01R 33/5611 (2013.01); G06T 11/003 (2013.01); A61B 2576/00 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01);
Abstract

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.


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