Revisiting the T2 spectrum imaging inverse problem: Bayesian regularized non-negative least squares

Revisiting the T2 spectrum imaging inverse problem: Bayesian regularized non-negative least squares

Multi-echo T2 magnetic resonance images contain information about the distribution of T2 relaxation times of compartmentalized water, from which we can estimate relevant brain tissue properties such as the myelin water fraction (MWF). Regularized non-negative least squares (NNLS) is the tool of choi...

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Bibliographic Details
Main Authors: Erick Jorge Canales-Rodríguez, Marco Pizzolato, Thomas Yu, Gian Franco Piredda, Tom Hilbert, Joaquim Radua, Tobias Kober, Jean-Philippe Thiran
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:NeuroImage
Subjects:
T2 Relaxation
Myelin water fraction
Non-negative least squares
Bayesian regularization
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811921008557

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http://www.sciencedirect.com/science/article/pii/S1053811921008557

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