Computing Corpus Callosum as Biomarker for Degenerative Disorders

Abstract

The developed framework can automatically extract a plane with minimal corpus callosum area while simultaneously segmenting it. The method used, introduced by Ishaq, treats the corpus callosum area as a function of the plane extraction parameters and it uses deformable registration to generate a displacement field that can be used for the calculation of the corpus callosum area. Our registration framework is accelerated using CUDA, which enables researchers to benchmark huge amounts of data (patients) to test the hypothesis of the corpus callosum evolution as a biomarker for multiple degenerative disorders like e.g. Alzheimer disease and multiple sclerosis (MS).