Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-Supervised Machine Learning. (arXiv:2210.02349v1 [eess.IV])

Machine learning is a powerful approach for fitting microstructural models to
diffusion MRI data. Early machine learning microstructure imaging
implementations trained regressors to estimate model parameters in a supervised
way, using synthetic training data with known ground truth. However, a drawback
of this approach is that the choice of training data impacts fitted parameter
values. Self-supervised learning is emerging as an attractive alternative to
supervised learning in this context. Thus far, both supervised and
self-supervised learning have typically been applied …

arxiv data diffusion machine machine learning supervised machine learning