Generalizable, sequence-invariant deep learning image reconstruction for subspace-constrained quantitative MRI.
Journal:
Magnetic resonance in medicine
Published Date:
Jan 20, 2025
Abstract
PURPOSE: To develop a deep subspace learning network that can function across different pulse sequences.