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.