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Abstract #0788

ChEST: A novel model measuring both Chemical Exchange and Susceptibility Tensor from resonance frequency shift

Hwihun Jeong1, Hyeong-Geol Shin1, Xu Li2, Sooyeon Ji1, and Jongho Lee1
1Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of, 2Department of Radiology and Radiological Science, Division of MR Research, Johns Hopkins Medicine, Baltimore, MD, United States

We introduce ChEST, a novel model that can estimate both chemical exchange and magnetic susceptibility tensor effects from resonance frequency shift. For reconstruction, an iterative algorithm is designed to solve the inverse problem of the new model. When tested using numerical simulation datasets, our method successfully generated mean magnetic susceptibility, magnetic susceptibility anisotropy, principal eigenvector, and chemical exchange maps in high accuracy as compared to conventional methods. Application to in-vivo human brain was conducted, revealing promising outcomes.

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