Model-based frequency-and-phase correction of 1 H MRS data with 2D linear-combination modeling.

Dunja Simicic Helge Jörn Zöllner Christopher W Davies-Jenkins Kathleen E HupfeldRichard A E EddenRichard A E Edden

Published in: bioRxiv : the preprint server for biology (2024)

Model-based FPC with 2D linear-combination modeling is feasible and has great potential to improve metabolite level estimation for conventional and dynamic MRS data, especially for low-SNR conditions, e.g., long TEs or strong diffusion weighting.

Keyphrases

electronic health record
big data
machine learning
data analysis
risk assessment
neural network
deep learning