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Extraction of the Plane of Minimal Cross-Sectional Area of the Corpus Callosum Using Template-Driven Segmentation

  • Neda Changizi
  • Ghassan Hamarneh
  • Omer Ishaq
  • Aaron Ward
  • Roger Tam
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6363)

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.

Keywords

Brute Force Midsagittal Plane Deformable Registration Magnetic Resonance Imaging Volume Brute Force Search 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Neda Changizi
    • 1
  • Ghassan Hamarneh
    • 1
  • Omer Ishaq
    • 1
    • 2
  • Aaron Ward
    • 1
    • 3
  • Roger Tam
    • 4
  1. 1.Medical Image Analysis LabSimon Fraser UniversityCanada
  2. 2.Department of Computer SciencesAir UniversityPakistan
  3. 3.Robarts Research InstituteThe University of Western OntarioCanada
  4. 4.MS/MRI Research GroupUniversity of British ColumbiaCanada

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