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Abstract #0931

Fast Volumetric Mapping of Brain NAD Levels Using 7T 31P-MRSI and Learned Probabilistic Subspaces

Rong Guo1,2, Shaolin Yang3, Hannes M Wiesner4, Yudu Li2, Yibo Zhao2,5, Zhi-Pei Liang2,5, Wei Chen4, and Xiao-Hong Zhu4
1Siemens Medical Solutions USA, Inc., Urbana, IL, United States, 2Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 3Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States, 4Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, United States, 5Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States

Synopsis

Keywords: Non-Proton, Non-Proton

Motivation: Measuring brain intracellular NAD levels has long been of interest, but the current 31P-MRSI methods would take prohibitively long scan times for mapping NAD.

Goal(s): To present a method for fast volumetric NAD mapping of the entire human brain.

Approach: In vivo 31P-MRSI scans were performed at 7T with a nominal resolution of 1.0 cc within 20 minutes. A probabilistic subspace-based method integrating spectral prior, spatial constraint, and statistical distributions was applied for denoising.

Results: The proposed method successfully provided high-resolution brain NAD mapping within 20-minute scans. The results also showed promises in revealing metabolic tissue heterogeneity and age correlation of NAD.

Impact: This work demonstrates the feasibility of volumetric brain NAD mapping with a nominal resolution of 1.0 cc within 20 minutes. It may provide a powerful metabolic imaging tool for many applications.

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Keywords