Paper Info
Title
Extraction of the plane of minimal cross-sectional area of the corpus callosum using template-driven segmentation.
Abstract
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 interhemispheric 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 interhemispheric transmission. Our MCCAP extraction method uses a nested optimization framework, segmenting the CC as it appears on each candidate plane, using registration-based segmentation. We demonstrate the robust convergence and high accuracy of our method for magnetic resonance images and present preliminary clinical results showing higher sensitivity to disease-induced atrophy.
Year
DOI
Venue
2010
10.1007/978-3-642-15711-0_3
MICCAI (3)
Keywords
Field
DocType
mccap extraction method,interhemispheric neural transmission,minimal cross-sectional area,minimum corpus callosum area,clinical study,midsagittal plane,candidate plane,template-driven segmentation,cc cross-sectional area,interhemispheric transmission,corpus callosum,present preliminary clinical result,alternative measurement plane,cross sectional area,cross section,upper bound,magnetic resonance image
Pattern recognition,Upper and lower bounds,Computer science,Segmentation,Cross section (geometry),Brute force,Artificial intelligence,Corpus callosum,Sagittal plane,Neural transmission
Conference
Volume
Issue
ISSN
13
Pt 3
0302-9743
ISBN
Citations 
PageRank 
3-642-15710-6
2
0.37
References 
Authors
9
5
Name
Order
Citations
PageRank
Neda Changizi1191.42
Ghassan Hamarneh21353110.14
Omer Ishaq331.41
Aaron Ward4120.97
Roger C. Tam524416.61