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:
Oct. 23, 2018

Filed:

Jun. 05, 2014
Applicant:

Koninklijke Philips N.v., Eindhoven, NL;

Inventors:

Elwin de Weerdt, Eindhoven, NL;

Steven Koppelman, Eindhoven, NL;

Johannes Martinus Peeters, Eindhoven, NL;

Assignee:

KONINKLIJKE PHILIPS N.V., Eindhoven, NL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01R 33/56 (2006.01); G01R 33/24 (2006.01); G01R 33/48 (2006.01); G01R 33/561 (2006.01); G01R 33/565 (2006.01);
U.S. Cl.
CPC ...
G01R 33/5608 (2013.01); G01R 33/243 (2013.01); G01R 33/4828 (2013.01); G01R 33/5607 (2013.01); G01R 33/5611 (2013.01); G01R 33/5616 (2013.01); G01R 33/56563 (2013.01);
Abstract

A method of MR imaging includes acquiring reference MR signal data from the object (); deriving a Bmap from the reference MR signal data; adapting sensitivity maps according to the Bmap, which sensitivity maps indicate spatial sensitivity profiles of one or more RF receiving coils (), to correct for geometric distortions of the sensitivity maps; acquiring imaging MR signal data from the object () via the one or more receiving coils () with sub-sampling of k-space; and reconstructing a MR image from the imaging MR signal data. Sub-sampling artifacts are eliminated using the adapted sensitivity maps. The reference MR signal data are acquired using a multi-point Dixon technique. A water image and a fat image are reconstructed from the imaging MR signal data using separate water and fat sensitivity maps. The water and fat images are preferably reconstructed using regularized SENSE.


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