Tensor-decomposition Regularized Deep Learning for Efficient and Accurate Multi-Parametric Microstructural MRI Estimation

A unified deep learning framework, DeepMpMRI, that simultaneously estimates multiple microstructural parameters from various diffusion models using sparsely sampled q-space data, by leveraging tensor-decomposition-based regularization and Nesterov-based adaptive learning.