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. 01, 2016

Filed:

Oct. 29, 2013
Applicants:

Nicolas Chesneau, Pont-Saint-Martin, FR;

Nirmal Janardhanan, Plainsboro, NJ (US);

Jun Liu, Cary, NC (US);

Mariappan S. Nadar, Plainsboro, NJ (US);

Qiu Wang, Princeton, NJ (US);

Zhili Yang, West Windsor, NJ (US);

Inventors:

Nicolas Chesneau, Pont-Saint-Martin, FR;

Nirmal Janardhanan, Plainsboro, NJ (US);

Jun Liu, Cary, NC (US);

Mariappan S. Nadar, Plainsboro, NJ (US);

Qiu Wang, Princeton, NJ (US);

Zhili Yang, West Windsor, NJ (US);

Assignee:

Other;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G01R 33/563 (2006.01); G01R 33/48 (2006.01); G01R 33/565 (2006.01); G01R 33/561 (2006.01);
U.S. Cl.
CPC ...
G01R 33/56308 (2013.01); G01R 33/4824 (2013.01); G01R 33/56509 (2013.01); G01R 33/5611 (2013.01);
Abstract

A method of image reconstruction for a magnetic resonance imaging (MRI) system includes obtaining k-space scan data captured by the MRI system, the k-space scan data being representative of an undersampled region over time, iteratively reconstructing preliminary dynamic images for the undersampled region from the k-space scan data via optimization of a first instance of a minimization problem, the minimization problem including a regularization term weighted by a weighting parameter array, generating a motion determination indicative of an extent to which each location of the undersampled region exhibits motion over time based on the preliminary dynamic images, and iteratively reconstructing motion-compensated dynamic images for the region from the k-space scan data via optimization of a second instance of the minimization problem, the second instance having the weighting parameter array altered as a function of the motion determination.


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