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:
Nov. 03, 2020

Filed:

Sep. 21, 2017
Applicants:

Centre National DE LA Recherche Scientifique (Cnrs), Paris, FR;

Aix-marseille Universite-timone, Marseilles, FR;

Inventors:

Mark Bydder, Marseilles, FR;

Olivier Girard, Marseilles, FR;

Stanislas Rapacchi, Marseilles, FR;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01R 33/561 (2006.01); G01R 33/48 (2006.01); G06T 11/00 (2006.01); G06T 5/00 (2006.01); G01R 33/56 (2006.01); G01R 33/565 (2006.01); G06F 19/00 (2018.01); G16H 50/70 (2018.01); G16H 30/40 (2018.01);
U.S. Cl.
CPC ...
G01R 33/5616 (2013.01); G01R 33/4818 (2013.01); G01R 33/565 (2013.01); G01R 33/5608 (2013.01); G01R 33/5611 (2013.01); G01R 33/56509 (2013.01); G06F 19/321 (2013.01); G06T 5/001 (2013.01); G06T 11/005 (2013.01); G16H 30/40 (2018.01); G16H 50/70 (2018.01);
Abstract

In a method and magnetic resonance (MR) apparatus for MR image reconstruction, an image reconstruction algorithm is used that operates on one calibration matrix that is formed by reorganizing a number of individual, undersampled k-space data sets respectively acquired by multiple reception coils in a parallel MR data acquisition from a subject exhibiting motion. The motion causes the k-space data sets to exhibit errors. In order to use the calibration matrix in the reconstruction algorithm, it is subjected to an iterative rank reduction procedure in which, in each iteration, a residual is calculated for each data point that represents how poorly, due to motion-induced corruptions, that data point satisfies the low rank constraint, and non-satisfying data points are removed from the data point for the next iteration. The resulting low rank matrix at the end of the iterations is then used to produce images with fewer motion-induced errors.


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