chi-separation using multi-orientation data in invivo and exvivo brains: Visualization of histology up to the resolution of 350 μm
Hyeong-Geol Shin1, Jincheol Seo2, Youngjeon Lee2, Hwihun Jeong1, Sooyeon Ji1, Minjun Kim1, Jang Woo Park3, Byeong C. Kim4, Kyung-Hwa Lee5, Seong Heon Kim6, Jaewon Jang6, Myung Kyun Woo1, and Jongho Lee1
1Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of, 2National Primate Research Center, Cheongju, Korea, Republic of, 3Korea Radioisotope center for pharmaceuticals, Seoul, Korea, Republic of, 4Chonnam National University Medical School, Gwangju, Korea, Republic of, 5Chonnam National University Hwasun Hospital and Medical School, Gwangju, Korea, Republic of, 6Kangwon National University Hospital, Chuncheon, Korea, Republic of
Recently, the susceptibility source separation method, χ-separation, was suggested to separate paramagnetic and diamagnetic susceptibility distributions in the brain, potentially providing quantitative information of paramagnetic iron and diamagnetic myelin. However, the ill-posed nature of dipole-inversion has hindered accurate estimation and direct comparison with histology. Here, we extended the model for multi-orientation GRE, resolving the ill-posedness. The new model is applied to in-vivo and ex-vivo, revealing exquisite details of susceptibility distribution. When the results are compared to iron and myelin histology, great similarities are observed, suggesting the potentials of χ-separation for non-invasively acquiring three-dimensional histological information of iron and myelin.
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