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Abstract #2481

Abnormal brain anatomy can introduce considerable bias to studies relying on FIRST An improved segmentation pipeline

Xiang Feng 1 , Andreas Deistung 1 , Jesper Hagemeier 2 , Michael Dwyer 2 , Robert Zivadinov 2,3 , Juergen R. Reichenbach 1 , and Ferdinand Schweser 2,3

1 Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany, 2 Buffalo Neuroimaging Analysis Center, Dept. of Neurology, School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, United States, 3 MRI Molecular and Translational Imaging Center, Buffalo CTRC, State University of New York at Buffalo, Buffalo, NY, United States

In this study we show that the linear registration associated to the standard FIRST pipeline fails in the case of abnormal anatomy, potentially introducing a serious bias to clinical studies. To overcome this issue, we present an improved framework for FIRST segmentation that incorporates both a hybrid contrast generation and a non-linear registration.

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