Abstract #4928

Structurally Constrained Quantitative Susceptibility Mapping

Sara Gharabaghi^1,2, Saifeng Liu², Ying Wang³, Yongsheng Chen^2,4, Thomas Wischgoll¹, Nasser H. Kashou⁵, and E. Mark Haacke^2,3,4

¹Department of Computer Science and Engineering, Wright State University, Dayton, OH, United States, ²The MRI Institute for Biomedical Research, Bingham Farms, MI, United States, ³Department of Biomedical Engineering, Wayne State University, Detroit, MI, United States, ⁴Department of Radiology, Wayne State University, Detroit, MI, United States, ⁵Department of Biomedical, Industrial & Human Factors Engineering, Wright State University, Dayton, OH, United States

In this study, a structurally constrained susceptibility reconstruction method, SCSWIM, is proposed. This method employs the unique contrast of STAGE imaging and segmented basal ganglia and vessels. It is tested on both simulated and in vivo human brain data. Evaluations show the improved reliability of the geometry information, reduced streaking artifacts, and increased accuracy of the susceptibilities of both basal ganglia and veins in the SCSWIM compared to other methods.

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