Abstract #0790

Decompose QSM to diamagnetic and paramagnetic components via a complex signal mixture model of gradient-echo MRI data

Jingjia Chen¹, Nan-Jie Gong², and Chunlei Liu^1,3

¹Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States, ²Vector Lab for Intelligent Medical Imaging and Neural Engineering, International Innovation Center of Tsinghua University, Shanghai, China, ³Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States

We propose and develop a method to separate paramagnetic and diamagnetic components within one voxel based on a 3-pool signal model. Alternating between solving for linear and nonlinear parameters in the model, paramagnetic component susceptibility (PCS) and diamagnetic component susceptibility (DCS) maps are constructed to represent the sub-voxel compartments.

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