Improving quantitative MRI using self-supervised deep learning with model reinforcement: Demonstration for rapid T1 mapping.

Published in: Magnetic resonance in medicine (2024)

This work demonstrates the feasibility of a new self-supervised learning method for rapid MR parameter mapping, that is readily adaptable to the clinical translation of qMRI.

Keyphrases

high resolution
machine learning
deep learning
contrast enhanced
loop mediated isothermal amplification
high density
magnetic resonance imaging
magnetic resonance
computed tomography
convolutional neural network
mass spectrometry