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Abstract #3445

Anatomic Prior and Cylindrical Symmetry Constraints for Reconstructing Susceptibility Tensor

Cynthia Wisnieff1, 2, Tian Liu1, 2, Yi Wang1, 2

1Cornell University, New York City, NY, United States; 2Weill Cornell Medical College, New York City, NY, United States

Susceptibility tensor imaging (STI) is an ill posed problem that suffers from noise propagation from non-ideal data. Assuming cylindrical symmetry in the shape of the tensor may improve the condition of this inverse problem. Anatomic prior information may be used to reduce noise through its incorporation into reconstructions of apparent susceptibilities at all orientations, from which the susceptibility tensor can be computed. These ideas were approximately confirmed in our phantom data and initial human data.

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Keywords

anatomic anisotropic anisotropy balloons bird brain built cage capsule channel city clinical coil college computed condition constraints corpus cylindrical degree difficult dipole doped eigenvalues enabled error evaluate evenly expected explore expresses fiber field form frame generated generating gradient head hods human ideas impractical improve inversion isotropic isotropy know known linear listed many maps mated medical metrical morphology noisy orientation orientations orthonormal parallel phantom phantoms prone reconstruction reduced regularize scalar seem solving source subject susceptibilities susceptibility symmetry table tensor tracts visually ween white