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:
Aug. 16, 2022

Filed:

Sep. 04, 2019
Applicants:

Perspectum Limited, Oxford, GB;

Alexandre Bagur, Oxford, GB;

Chloe Hutton, Oxford, GB;

Benjamin J Irving, Oxford, GB;

Michael L Gyngell, Oxford, GB;

Matthew Robson, Oxford, GB;

Michael J Brady, Oxford, GB;

Inventors:

Alexandre Bagur, Oxford, GB;

Chloe Hutton, Oxford, GB;

Benjamin J Irving, Oxford, GB;

Michael L Gyngell, Oxford, GB;

Matthew Robson, Oxford, GB;

Michael J Brady, Oxford, GB;

Assignee:

Perspectum Limited, Oxford, GB;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01V 3/00 (2006.01); G01R 33/48 (2006.01); A61B 5/055 (2006.01); G01R 33/50 (2006.01); G01R 33/561 (2006.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
G01R 33/4828 (2013.01); A61B 5/055 (2013.01); G01R 33/50 (2013.01); G01R 33/5615 (2013.01); G06T 7/0012 (2013.01); G06T 2207/10096 (2013.01);
Abstract

A method of analysing the magnitude of Magnetic Resonance Imaging (MRI) data is described. The method comprising: using the magnitude only of the multi-echo MRI data of images from the subject, where images are acquired at arbitrarily timed echoes including at least one echo time where water and fat are not substantially in-phase; fitting the magnitude of said multi-echo MRI data to a single signal model to produce a plurality of potential solutions for the relative signal contributions for each of the at least two species from the model, by using a plurality of different starting conditions to generate a particular cost function value for each of the plurality of starting conditions, where said cost function values are independent of a field map term for the MRI data; analysing said cost function values to calculate relative signal separation contribution for each species at each voxel of the images.


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