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Conference Papers Year : 2012

MRI Estimation of T1 Relaxation Time Using a Constrained Optimization Algorithm

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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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Dates and versions

inserm-00723849 , version 1 (22-10-2012)

Identifiers

  • HAL Id : inserm-00723849 , version 1

Cite

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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