Deep-learning-based image reconstruction with limited data: generating synthetic raw data using deep learning.
Journal:
Magma (New York, N.Y.)
Published Date:
Aug 29, 2024
Abstract
OBJECT: Deep learning has shown great promise for fast reconstruction of accelerated MRI acquisitions by learning from large amounts of raw data. However, raw data is not always available in sufficient quantities. This study investigates synthetic data generation to complement small datasets and improve reconstruction quality.