Multi-atlas Library for Eliminating Normalization Failures in Non-Human Primates

摘要

IntroductionCurrent tools for automated skull stripping, normalization, and segmentation of non-human primate (NHP) brain MRI studies typically demonstrate high failure rates. Many of these failures are due to a poor initial estimate for the affine component of the transformation. The purpose of this study is to introduce a multi-atlas approach to overcome these limitations and drive the failure rate to near zero.