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Abstract #2826

Comparison of chi-separation and chi-separation*: A clinical feasibility study

Jinhee Jang1, Hyeong-Geol Shin2,3, Minjun Kim4, Hyebin Lee1, and Woojun Kim5
1Radiology, Seoul St. Mary's Hospital, Seoul, Korea, Republic of, 2Radiology, Johns Hopkins University, Baltimore, MD, United States, 3F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 4Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of, 5Neurology, Seoul St. Mary's Hospital, Seoul, Korea, Republic of

Synopsis

Keywords: Multiple Sclerosis, Quantitative Susceptibility mappingWhile χ-separation gives unique and valuable information, requirement of R2 limited its clinical application. This study assessed the clinical feasibility of two R2*-based magnetic source separation. From 24 MR scans of MS subjects, four sets of magnetic source separation maps were generated; (1) χ-separation (originally proposed method), (2) χ-separation* (exploiting R2*), (3) χ-sepnet (DL-based), and (4) χ-sepnet* (DL-based, utilizing R2*). χ-separation* and χ-sepnet* showed good agreement to χ-separation and χ-sepnet in MS lesions and the brain. However, there are small but consistent biases in each method, which are important caveats for R2*-based χ-separation. These biases were relatively smaller in χ-sepnet*.

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