MRI Estimation of T1 Relaxation Time Using a Constrained Optimization Algorithm

Fang Cao; Olivier Commowick; Elise Bannier; Jean-Christophe Ferré; Gilles Edan; Christian Barillot

inserm-00723849, version 1

MRI Estimation of T1 Relaxation Time Using a Constrained Optimization Algorithm

Fang Cao ( Auteur à contacter de préférence ) ¹, Olivier Commowick () ¹, Elise Bannier ¹, Jean-Christophe Ferré () ², Gilles Edan ², Christian Barillot () ¹

MBIA 2012 (2012) 203-214

Résumé : We propose a new method to improve T1 mapping with respect to the popular DESPOT1 algorithm. A distance function is de fined to model the distance between the pure signal and the measurements in presence of noise. We use a constrained gradient descent optimization algorithm to iteratively find the optimal values of T1 and M0. The method is applied to MR images acquired with 2 gradient echo sequences and diff erent flip angles. The performance of T1 mapping is evaluated both on phantom and on in vivo experiments.

1 : VISAGES : Vision Action et Gestion d'Informations en Santé (VISAGES)
INSERM : U746 – CNRS : UMR6074 – INRIA – Université de Rennes 1
2 : Service de radiologie et imagerie médicale [Rennes]
CHU Rennes – Université de Rennes 1 – Hôpital Pontchaillou

inserm-00723849, version 1
http://www.hal.inserm.fr/inserm-00723849
oai:www.hal.inserm.fr:inserm-00723849
Contributeur : Fang Cao <>
Soumis le : Lundi 22 Octobre 2012, 16:49:56
Dernière modification le : Mardi 23 Octobre 2012, 10:42:01

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