Changes in corpus callosum (CC) size are typically quantified in clinical studies by measuring the CC cross-sectional area on a midsagittal plane. We propose an alternative measurement plane based on the role of the CC as a bottleneck structure in determining the rate of inter-hemispheric neural transmission. We designate this plane as the Minimum Corpus Callosum Area Plane (MCCAP), which captures the cross section of the CC that best represents an upper bound on inter- hemispheric transmission. Our MCCAP extraction method uses a nested optimization framework, segmenting the CC as it appears on each candidate plane, using registration-based segmentation.
MCCAP Algorithm Flowchart
Comparison of CC areas measured via MSP and MCCAP for Controls and MS patients.
[PDF] Neda Changizi, Ghassan Hamarneh, Omer Ishaq, Aaron Ward, and Roger Tam. Extraction of the Plane of Minimal Cross-Sectional Area of the Corpus Callosum using Template-Driven Segmentation. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), pages 8 pages, 2010.