Keywords: Susceptibility/QSM, Microstructure, Myelin
Motivation: Recently, microstructure-informed myelin mapping (MIMM) was proposed to estimate myelin content from multi gradient-echo (mGRE) data by modeling both magnitude and phase-derived susceptibility values. Although magnitude modeling incorporated the susceptibility anisotropy, susceptibility modeling ignored it.
Goal(s): Here, MIMoSA is proposed to improve upon MIMM by including the susceptibility anisotropy both in magnitude and phase.
Approach: Following MIMM, a dictionary of voxel signals associated with specific microstructures including myelin and iron was generated with a novel negative susceptibility estimation approach.
Results: In vivo results of healthy subjects showed that iMIMM performs similar with MIMM without the need of an additional orientation prior.
Impact: By accurate modeling of the effect of white matter anisotropic susceptibility on the full gradient-echo signal, myelin content can be mapped from routine gradient echo acquisitions.
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