Statistical study on cortical sulci of human brains

Xiaodong Tao, Xiao Han, Maryam E. Rettmann, Jerry L. Prince, Christos Davatzikos

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

24 Scopus citations


A method for building a statistical shape model of sulci of the human brain cortex is described. The model includes sulcal fundi that are defined on a spherical map of the cortex. The sulcal fundi are first extracted in a semi-automatic way using an extension of the fast marching method. They are then transformed to curves on the unit sphere via a conformal mapping method that maps each cortical point to a point on the unit sphere. The curves that represent sulcal fundi are parameterized with piecewise constant-speed parameterizations. Intermediate points on these curves correspond to sulcal landmarks, which are used to build a point distribution model on the unit sphere. Statistical information of local properties of the sulci, such as curvature and depth, are embedded in the model. Experimental results are presented to show how the models are built.

Original languageEnglish (US)
Title of host publicationInformation Processing in Medical Imaging - 17th International Conference, IPMI 2001, Proceedings
EditorsMichael F. Insana, Richard M. Leahy
PublisherSpringer Verlag
Number of pages13
ISBN (Electronic)3540422455, 9783540422457
StatePublished - 2001
Event17th International Conference on Information Processing in Medical Imaging, IPMI 2001 - Davis, United States
Duration: Jun 18 2001Jun 22 2001

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


Other17th International Conference on Information Processing in Medical Imaging, IPMI 2001
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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