Abstract #4605

Denoising Magnetic Resonance Spectroscopy Signals with Stack Auto-encoder Networks

Jing Wang¹, Bing Ji¹, Yang Lei¹, Tian Liu², Hui Mao¹, and Xiaofeng Yang¹

¹Emory University, Atlanta, GA, United States, ²Icahn School of Medicine at Mount Sinai, New York, NY, United States

Synopsis

Keywords: Signal Modeling, SpectroscopyThis abstract reports a novel and efficient self-supervised deep learning autoencoder network for denoising MRS data and improving signal-to-noise ratio (SNR) of spectra, which may enable rapid MRS data acquisition and improving its clinical workflow and applications.

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