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:
Sep. 21, 2021

Filed:

Apr. 24, 2020
Applicant:

Case Western Reserve University, Cleveland, OH (US);

Inventors:

Brendan Eck, Cleveland Heights, OH (US);

Jesse Hamilton, Cleveland Heights, OH (US);

Nicole Seiberlich, Shaker Heights, OH (US);

Mark Griswold, Shaker Heights, OH (US);

Assignee:

Case Western Reserve University, Cleveland, OH (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01R 33/565 (2006.01); G01R 33/50 (2006.01); G01R 33/48 (2006.01);
U.S. Cl.
CPC ...
G01R 33/56545 (2013.01); G01R 33/4824 (2013.01); G01R 33/4828 (2013.01); G01R 33/50 (2013.01);
Abstract

A method for magnetic resonance fingerprinting with out-of-view artifact suppression includes acquiring MRF data from a region of interest in a subject. The MRF data is acquired using a non-Cartesian, variable density sampling trajectory. The MRF data includes data from within a desired field-of-view and data from outside the desired field-of-view. The method also includes generating a set of coil images based on the MRF data with a field-of-view larger than the desired field-of-view, determining a noise covariance based on the MRF data from outside the desired field-of-view, generating a coil combined image using an adaptive coil combination determined based on the noise covariance, applying the adaptive coil combination to the MRF data to grid each frame of the MRF data and generate MRF data with out-of-view artifact suppression. The method also includes identifying at least one property of the MRF data and generating a report.


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