Quantitative Susceptibility Mapping using Segmentation-Enabled Dipole Inversion

Quantitative Susceptibility Mapping is an ill-posed problem that requires two computational steps: background-field removal and dipole inversion. This work focuses on QSM in the brain and describes susceptibility reconstruction using reliable, a priori knowledge from automated segmentation of anatomical ROIs. Background field removal is integrated with dipole inversion in a single-step minimization problem by computing the sources of the magnetic field perturbation which is generated by the tissue susceptibility. This method, dubbed segmentation-enabled dipole inversion (SEDI), results in a more accurate susceptibility reconstruction.

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