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MRI Estimation of T1 Relaxation Time Using a Constrained Optimization Algorithm

Fang Cao 1, * Olivier Commowick 1 Elise Bannier 1 Jean-Christophe Ferré 2 Gilles Edan 2 Christian Barillot 1 
* Corresponding author
1 VisAGeS - Vision, Action et Gestion d'informations en Santé
INSERM - Institut National de la Santé et de la Recherche Médicale : U746, Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : 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.
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Submitted on : Monday, October 22, 2012 - 4:49:56 PM
Last modification on : Wednesday, February 2, 2022 - 3:53:30 PM


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  • HAL Id : inserm-00723849, version 1


Fang Cao, Olivier Commowick, Elise Bannier, Jean-Christophe Ferré, Gilles Edan, et al.. MRI Estimation of T1 Relaxation Time Using a Constrained Optimization Algorithm. MBIA 2012, Oct 2012, Nice, France. pp.203-214. ⟨inserm-00723849⟩



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