Abstract #2984

Rapid Dynamic Deuterium MR Spectroscopic Imaging Using Deep-SPICE

Yudu Li^1,2, Yibo Zhao^1,2, Rong Guo^1,2, Fanyang Yu^2,3, Xiao-Hong Zhu⁴, Wei Chen⁴, and Zhi-Pei Liang^1,2

¹Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ²Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ³Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ⁴Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, United States

Dynamic deuterium MR spectroscopic imaging (²H-MRSI) is emerging as a powerful tool for measurement of metabolic changes using deuterated substrates. In this work, we propose a novel method to reconstruct the often extremely noisy dynamic ²H-MRSI data, incorporating both physics-based subspace spectral model and deep learning-based data priors via an information-theoretical framework. The proposed method has been validated using both simulated and experimental data, showing a significant improvement over the conventional reconstruction and processing method.

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