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Revisiting the T2 Spectrum Imaging Inverse Problem: Bayesian Regularized Non-Negative Least Squares
2021
NeuroImage
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 choice for estimating non-parametric T2 spectra. However, the estimation is ill-conditioned, sensitive to noise, and highly affected by the employed regularization weight. The purpose of this study is
doi:10.1016/j.neuroimage.2021.118582
pmid:34536538
fatcat:xznxrdqq4nc6hbe3wjng2hwnre