Morphological analysis of brain structures using spatial normalization

C. Davatzikos, M. Vaillant, S. Resnick, J. L. Prince, S. Letovsky, R. N. Bryan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations


We present an approach for analyzing the morphology of anatomical structures of the brain, which uses an elastic transformation to normalize brain images into a reference space. The properties of this transformation are used as a quantitative description of the size and shape of brain structures; inter-subject comparisons are made by comparing the transformations themselves. The utility of this technique is demonstrated on a small group of eigth men and eight women, by comparing the shape and size of their corpus callosum, the main structure connecting the two hemispheres of the brain. Our analysis found the posterior region of the female corpus callosum to be larger than its corresponding region in the males. The average callosal shape of each group was also found, demonstrating visually the callosal shape differences between the two groups.

Original languageEnglish (US)
Title of host publicationVisualization in Biomedical Computing - 4th International Conference, VBC 1996, Proceedings
EditorsRon Kikinis, Karl Heinz Hohne
PublisherSpringer Verlag
Number of pages6
ISBN (Print)3540616497, 9783540616498
StatePublished - 1996
Event4th International Conference on Visualization in Biomedical Computing, VBC 1996 - Hamburg, Germany
Duration: Sep 22 1996Sep 25 1996

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other4th International Conference on Visualization in Biomedical Computing, VBC 1996

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


Dive into the research topics of 'Morphological analysis of brain structures using spatial normalization'. Together they form a unique fingerprint.

Cite this