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. 22, 2019

Filed:

Jul. 25, 2017
Applicant:

Spintech, Inc., Bingham Farms, MI (US);

Inventor:

E. Mark Haacke, Detroit, MI (US);

Assignee:

SPINTECH, INC., Bingham Farms, MI (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01V 3/00 (2006.01); G01R 33/561 (2006.01); G01R 33/567 (2006.01); A61B 5/055 (2006.01); G01R 33/50 (2006.01); G01R 33/565 (2006.01); G01R 33/48 (2006.01); A61B 5/00 (2006.01); G01R 33/24 (2006.01);
U.S. Cl.
CPC ...
G01R 33/5613 (2013.01); A61B 5/055 (2013.01); G01R 33/4818 (2013.01); G01R 33/50 (2013.01); G01R 33/5615 (2013.01); G01R 33/5676 (2013.01); G01R 33/56554 (2013.01); A61B 5/7203 (2013.01); A61B 5/7264 (2013.01); A61B 2576/026 (2013.01); G01R 33/246 (2013.01);
Abstract

Variable flip angle techniques with constraints for reconstructing MR images include a processor generating a Tmap representing a spatial distribution of Twithin an anatomical region using a first MR dataset corresponding to a first flip angle (FA) and a second MR dataset corresponding to a second FA. The processor can estimate a first and second transmit RF field maps by scaling the Tmap by a first constant value of Tassociated with a first tissue type and a second constant value of Tassociated with a second tissue type, respectively. The processor can generate a third transmit RF field map using the first and second transmit RF field maps, and use the third transmit RF field map to construct MR images of the anatomical region. Weighted subtraction images can be created with improved contrast-to-noise ratio compared to images of the first and second MR datasets.


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