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. 02, 2022

Filed:

Sep. 12, 2017
Applicants:

Institut National DE LA Sante ET DE LA Recherche Medicale (Inserm), Paris, FR;

Université Paris Diderot—paris 7, Paris, FR;

Centre National DE LA Recherche Scientifique, Paris, FR;

Assistance Publique—hopitaux DE Paris, Paris, FR;

Universite DE Versailles Saint-quentin-en-yvelines, Versailles, FR;

Inventors:

Benjamin Leporq, Villeurbanne, FR;

Simon Lambert, Villeurbanne, FR;

Bernard Van Beers, Paris, FR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G01V 3/08 (2006.01); G06T 7/00 (2017.01); A61B 5/00 (2006.01); G01R 33/56 (2006.01); G01R 33/561 (2006.01); G01R 33/565 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 5/0033 (2013.01); A61B 5/4244 (2013.01); A61B 5/4839 (2013.01); A61B 5/4872 (2013.01); A61B 5/7275 (2013.01); G01R 33/5608 (2013.01); G01R 33/5615 (2013.01); G01R 33/56536 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/30056 (2013.01);
Abstract

In the field of obesity related disease, identification of patients with nonalcoholic steatohepatitis (NASH) would be useful to counsel them more intensively on diet and lifestyle changes and propose new pharmacological treatments. As a consequence, the inventors worked on a method for post-processing images of a region of interest of the liver for reconstructing a map of the internal magnetic susceptibility by using a Bayesian regularization approach to inverse the internal magnetic field. Such method can be implemented on computer and provides better results than other known methods for obesity related disease. This method may be applied for predicting that a subject is at risk of suffering from such disease, diagnosing a disease, identifying a therapeutic or a biomarker and screening compounds useful as a medicine.


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