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Abstract #2843

Evaluation of Convolutional Neural Network For Magnetic Resonance Spectroscopy of Lipids

Anmol Monga1, Dimitri Martel1, and Gregory Chang1
1Radiology, NYU Langone Health, New York, NY, United States

Recent progress in the convolutional neural network has provided new tools for signal processing and quantification. Magnetic Resonance Spectroscopy is a powerful quantitative tool, which allows notably to access lipid composition. We aim to design and evaluate a neural network for lipid MRS quantification using simulated data.

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