A user independent denoising method for x-nuclei MRI and MRS.

Nichlas Vous Christensen Michael Vaeggemose Nikolaj Bøgh Esben Søvsø Szocska Hansen Jonas L Olesen Yaewon Kim Daniel B Vigneron Jeremy W Gordon Sune Nørhøj Jespersen Christoffer Laustsen

Published in: Magnetic resonance in medicine (2023)

The strength of tMPPCA lies in the few-input approach, which generalizes well to different data sources. This makes the use of tMPPCA denoising a robust and versatile tool in x-nuclei imaging improvements and the preferred denoising method.

Keyphrases

convolutional neural network
high resolution
magnetic resonance imaging
electronic health record
drinking water
deep learning
machine learning
magnetic resonance
diffusion weighted imaging
mass spectrometry
data analysis
fluorescence imaging
photodynamic therapy