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Abstract #1806

High-Resolution Sodium Imaging Using Anatomical and Sparsity Constraints for Denoising and Recovery of Novel Features

Yibo Zhao1,2, Rong Guo1,2, Yudu Li1,2, Keith R. Thulborn3, and Zhi-Pei Liang1,2
1Department of Electrical and Computer Engineering, University of Illinois, Urbana-Champaign, Urbana, IL, United States, 2Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana-Champaign, Urbana, IL, United States, 3Center for Magnetic Resonance Research, University of Illinois at Chicago, Chicago, IL, United States

Quantitative sodium MRI is a unique tool for assessing tissue viability noninvasively. A major obstacle to widespread clinical applications of sodium MRI is low sensitivity, which leads to low spatial resolution even with long scan times. We present a novel method for reconstruction of high-resolution sodium maps from noisy, limited k-space data. The proposed method has been validated using simulated and experimental data, producing high-SNR and high-resolution tissue sodium concentration maps. These high-resolution maps were also shown to improve the detection of tumor responses to radiation therapy.

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