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Abstract #2901

High Resolution Dynamic Deuterium MRS Imaging of Cerebral Glucose Metabolism in Mouse Brain at Ultrahigh Field of 16.4T

Abbas Monsef1,2, Xiao-Hong Zhu1, Chao Zou1, Tao Wang1, Kelsey Haney1, Yudu Li3,4,5, Zhi-Pei Liang4,6, and Wei Chen1
1Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 2Department of Medical Physics, Radiation Oncology, University of Minnesota, Minneapolis, MN, United States, 3Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 4Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 5National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 6Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States

Synopsis

Keywords: Deuterium, Deuterium, High-resolution, MRSI, Spectroscopy, Brain, Metabolism

Motivation: Motivation:Deuterium MRS imaging (2H-MRSI) is valuable for mapping brain deuterated metabolites, but its low sensitivity and poor imaging resolution make it particularly challenging to image the mouse brain.

Goal(s): Goal:To study glucose metabolism in mouse brain using dynamic 2H-MRSI with high spatiotemporal resolution.

Approach: Approach:Dynamic 3D 2H-MRSI was performed on mice brains at 16.4T with an intraperitoneal administration of deuterium labeled glucose; SPICE denoising was applied to further enhance SNR.

Results: Results:We achieved highest spatiotemporal resolution 2H-MRSI (3μL voxel size and 2.5min) with excellent SNR, enabling imaging of low concentration metabolites and their dynamics in the mouse brain.

Impact: This work demonstrates the capability of high-resolution 2H-MRSI for mapping deuterated metabolites and dynamics in the mouse brain with excellent sensitivity. It highlights the potential of studying cerebral glucose metabolism in various mouse models of genetic or other diseases.

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Keywords