METHOD OF CHARACTERIZING MOLECULAR DIFFUSION WITHIN A BODY FROM A SET OF DIFFUSION-WEIGHTED MAGNETIC RESONANCE SIGNALS AND APPARATUS FOR CARRYING OUT SUCH A METHOD

Patent №

US 10,310,044

Granted

2019-06-04

Filed 2016

Owner

UNIVERSITE DE RENNES 1

+3 more

Lab

AI components

1

hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15104218

A computer-implemented method of characterizing molecular diffusion within a body from a set of diffusion-weighted magnetic resonance signals by computing a weighted average of a plurality of multi-compartment diffusion models comprises a same number of compartments, fitted to a set of diffusion-weighted magnetic resonance signals, the weighted average being computed using weights representative of a performance criterion of each of the models; wherein each of the multi-compartment diffusion models comprises a different number of subsets of compartments, the compartments of a same subset being identical to each other.

AI hardwareG01R 33/56341A61B 5/055G06F 17/18G06F 30/20G16C 20/10G06F 2111/10G16C 20/70

AI classification

AI hardware0.68
Knowledge representation0.33
Evolutionary computation0.19
Machine learning0.01
Natural language0.00
Vision0.00
Planning0.00
Speech0.00

Ownership

UNIVERSITE DE RENNES 1

assignment · 478600950

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE

assignment · 478600950

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE (INRIA)

assignment · 478600950

INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)

assignment · 478600950

Assignors

PEREZ, PATRICK, COMMOWICK, OLIVIER, BARILLOT, CHRISTIAN, STAMM, AYMERIC

On an employer assignment, the assignors are typically the inventors.

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