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Abstract #0265

Multi-atlas tool for automated magnetic susceptibility quantification in brain nuclei

Andreia Vasconcellos Faria1, Lin Chen2, Kwame Kutten3, Can Ceritoglu3, Ningdong Kang1, Li Pan4, Ye Qiao1, Michael Miller3, Susumu Mori1, David Yousem1, Peter C van Zijl2, and Xu Li2

1Radiology, Johns Hopkins University, Baltimore, MD, United States, 2Kennedy Krieger Institute, Johns Hopkins University, Baltimore, MD, United States, 3Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States, 4Siemens Healthineers, Baltimore, MD, United States

Quantitative magnetic susceptibility offers a non-invasive measure of important brain tissue molecules, such as iron complexes and myelin, potentially providing significant information about normal and pathological conditions during aging. We developed an automated process to quantify tissue susceptibility in a biologically meaningful set of structures, thereby generating universal and sharable quantitative susceptibility measures. Our susceptibility-based multi-atlas outperformed the single atlas and the T1-weighted multi-atlases. Our tool and normalization algorithm offered consistent measures of magnetic susceptibility over different image protocols and platforms. Automatic and reliable quantitative susceptibility mapping measures will facilitate individual analyses and studies on aging and neurodegeneration.

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