MRI Estimation of T1 Relaxation Time Using a Constrained Optimization Algorithm
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.
Domaines
Médecine nucléaire| Origine | Fichiers produits par l'(les) auteur(s) |
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