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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