A deep learning approach for magnetization transfer contrast MR fingerprinting and chemical exchange saturation transfer imaging.

NeuroImage
Byungjai KimHye-Young Heo

Abstract

Semisolid magnetization transfer contrast (MTC) and chemical exchange saturation transfer (CEST) MRI based on MT phenomenon have shown potential to evaluate brain development, neurological, psychiatric, and neurodegenerative diseases. However, a qualitative MT ratio (MTR) metric commonly used in conventional MTC imaging is limited in the assessment of quantitative semisolid macromolecular proton exchange rates and concentrations. In addition, CEST signals measured by MTR asymmetry analysis are unavoidably contaminated by upfield nuclear Overhauser enhancement (NOE) signals of mobile and semisolid macromolecules. To address these issues, we developed an MTC-MR fingerprinting (MTC-MRF) technique to quantify tissue parameters, which further allows an estimation of accurate MTC signals at a certain CEST frequency offset. A pseudorandomized RF saturation scheme was used to generate unique MTC signal evolutions for different tissues and a supervised deep neural network was designed to extract tissue properties from measured MTC-MRF signals. Through detailed Bloch equation-based digital phantom and in vivo studies, we demonstrated that the MTC-MRF can quantify MTC characteristics with high accuracy and computational efficiency, compar...Continue Reading

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Citations

Nov 1, 2020·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·Beomgu KangHye-Young Heo
Mar 25, 2021·NeuroImage·Alexander GermanFrederik Bernd Laun
May 8, 2021·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·Kai HerzMoritz Zaiss
Jul 24, 2021·Current Opinion in Chemical Biology·Peter C M van ZijlLinda Knutsson
Aug 22, 2021·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·Daniel J WestShaihan J Malik
Sep 22, 2021·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·Noemi G GyoriDaniel C Alexander
Nov 7, 2021·Journal of Magnetic Resonance Imaging : JMRI·Lei ZhangUNKNOWN Alzheimer's Disease Neuroimaging Initiative

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