Deep learning-based target metabolite isolation and big data-driven measurement uncertainty estimation in proton magnetic resonance spectroscopy of the brain.

Published in: Magnetic resonance in medicine (2020)

The proposed method may be used for metabolite quantification with measurement uncertainty estimation in rat brain at 9.4T by exploiting the spectral isolation capability of the CNNs and the availability of big spectral data.

Keyphrases

big data
artificial intelligence
deep learning
machine learning
optical coherence tomography
dual energy
white matter
resting state
computed tomography
multiple sclerosis
magnetic resonance