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Abstract #2608

Assessing the Reproducibility of χ-separation: Comparative Analysis of Two Modeling Approaches with Quantitative Susceptibility Mapping

Beomsoo Park1, Hayeon Lee1, Jongho Lee1, Hyejin Kim2, and Yoonho Nam3
1Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of, 2Hongik University, Seoul, Korea, Republic of, 3Division of Biomedical Engineering, Hankuk University of Foreign Studies, Seoul, Korea, Republic of

Synopsis

Keywords: Susceptibility/QSM, Data Analysis

Motivation: Magnetic susceptibility in MRI offers non-invasive insights into brain substances like iron and myelin, affecting brain function and disease. The χ-separation method promises to enhance these insights by better estimating substance concentrations.

Goal(s): To assess the test-retest reproducibility of χ-separation methods to ensure their reliability for wider use in both research and clinical settings.

Approach: Reproducibility was tested by repeating scans using 3T MRI. Statistical analysis by Bland-Altman, regression, and ICC were used for evaluation.

Results: χ-separation demonstrated high reproducibility for both positive and negative susceptibility map analyses compared to previous study regarding QSM

Impact: This study affirms the robustness of χ-separation in MRI, enhancing the detection of iron and myelin concentrations and paving the way for more accurate brain pathology studies, potentially revolutionizing both clinical diagnostics and research into neurodegenerative diseases.

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