Multi-exponential Relaxometry using l1-regularized Iterative NNLS (MERLIN) with Application to Myelin Water Fraction Imaging: Supplementary Material

Markus Zimmermann,Ana-Maria Oros-Peusquens,Elene Iordanishvili,Seonyeong Shin,Seong Dae Yun,Zaheer Abbas,N. Jon Shah

Multi-exponential Relaxometry using l1-regularized Iterative NNLS (MERLIN) with Application to Myelin Water Fraction Imaging: Supplementary Material

2019

Markus Zimmermann
Ana-Maria Oros-Peusquens
Elene Iordanishvili
Seonyeong Shin
Seong Dae Yun
Zaheer Abbas
N. Jon Shah

Here, we provide additional results supporting the use of MERLIN [1]; a novel l1-regularized iterative non-negative least-squares method for multi-exponential relaxometry.

Keywords:

Mathematics
Algorithm
Relaxometry
Mathematical optimization
Myelin
Exponential function
Root mean square
Artificial neural network
Signal-to-noise ratio
Regularization (mathematics)
Noise reduction
Prior probability

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