Accuracy and repeatability of joint sparsity multi-component estimation in MR Fingerprinting

Accuracy and repeatability of joint sparsity multi-component estimation in MR Fingerprinting

MR fingerprinting (MRF) is a promising method for quantitative characterization of tissues. Often, voxel-wise measurements are made, assuming a single tissue-type per voxel. Alternatively, the Sparsity Promoting Iterative Joint Non-negative least squares Multi-Component MRF method (SPIJN-MRF) facili...

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Bibliographic Details
Main Authors: L. Nunez-Gonzalez, M.A. Nagtegaal, D.H.J. Poot, J. de Bresser, M.J.P. van Osch, J.A. Hernandez-Tamames, F.M. Vos
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:NeuroImage
Subjects:
Repeatability
Accuracy
Multi-component MR Fingerprinting
Segmentation
Brain
Quantitative MRI
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811922007534

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http://www.sciencedirect.com/science/article/pii/S1053811922007534

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