Automated segmentation of sulcal regions

Maryam E. Rettmann, Chenyang Xu, Dzung L. Pham, Jerry L. Prince

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


Automatic segmentation and identification of cortical sulci play an important role in the study of brain structure and function. In this work, a method is presented for the automatic segmentation of sulcal regions of cortex. Unlike previous methods that extract the sulcal spaces within the cortex, the proposed method extracts actual regions of the cortical surface that surround sulci. Sulcal regions are segmented from the medial surface as well as the lateral and inferior surfaces. The method first generates a depth map on the surface, computed by measuring the distance between the cortex and an outer “shrink-wrap” surface. Sulcal regions are then extracted using a hierarchical algorithm that alternates between thresholding and region growing operations. To visualize the buried regions of the segmented cortical surface, an efficient technique for mapping the surface to a sphere is proposed. Preliminary results are presented on the geometric analysis of sulcal regions for automated identification.

Original languageEnglish (US)
Title of host publicationMedical Image Computing and Computer-Assisted Intervention –MICCAI 1999 - 2nd International Conference, Proceedings
EditorsChris Taylor, Alain Colchester
PublisherSpringer Verlag
Number of pages11
ISBN (Print)354066503X, 9783540665038
StatePublished - 1999
Event2nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1999 - Cambridge, United Kingdom
Duration: Sep 19 1999Sep 22 1999

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


Other2nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1999
Country/TerritoryUnited Kingdom

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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