Watersheds on the cortical surface for automated sulcal segmentation

Maryam E. Rettmann, Xiao Han, Jerry Ladd Prince

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

Abstract

The human cortical surface is a highly complex, folded structure. Cortical sulci, the spaces between the folds, define location on the cortex and provide a parcellation into functionally distinct areas. A topic that has recently received increased attention is the segmentation of these sulci from magnetic resonance (MR) images, with most work focussing on the extraction of the sulcal spaces between the folds. Unlike these methods, we propose a technique that extracts actual regions of the cortical surface that surround sulci which we call `sulcal regions'. The method is based on a watershed algorithm applied to a geodesic distance transform on the cortical surface. A well known problem with the watershed algorithm is a tendency towards oversegmentation. To address this problem, we propose a post-processing algorithm that merges appropriate segments from the watershed algorithm.

Original languageEnglish (US)
Title of host publicationProceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis
PublisherIEEE
Pages20-27
Number of pages8
StatePublished - 2000
EventMMBIA-2000: IEEE Workshop on Mathematical Methods in Biomedical Image Analysis - Hilton Head Island, SC, USA
Duration: Jun 11 2000Jun 12 2000

Other

OtherMMBIA-2000: IEEE Workshop on Mathematical Methods in Biomedical Image Analysis
CityHilton Head Island, SC, USA
Period6/11/006/12/00

Fingerprint

Segmentation
Fold
Distance Transform
Geodesic Distance
Magnetic Resonance Image
Cortex
Complex Structure
Post-processing
Distinct

ASJC Scopus subject areas

  • Analysis

Cite this

Rettmann, M. E., Han, X., & Prince, J. L. (2000). Watersheds on the cortical surface for automated sulcal segmentation. In Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis (pp. 20-27). IEEE.

Watersheds on the cortical surface for automated sulcal segmentation. / Rettmann, Maryam E.; Han, Xiao; Prince, Jerry Ladd.

Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis. IEEE, 2000. p. 20-27.

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

Rettmann, ME, Han, X & Prince, JL 2000, Watersheds on the cortical surface for automated sulcal segmentation. in Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis. IEEE, pp. 20-27, MMBIA-2000: IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, Hilton Head Island, SC, USA, 6/11/00.
Rettmann ME, Han X, Prince JL. Watersheds on the cortical surface for automated sulcal segmentation. In Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis. IEEE. 2000. p. 20-27
Rettmann, Maryam E. ; Han, Xiao ; Prince, Jerry Ladd. / Watersheds on the cortical surface for automated sulcal segmentation. Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis. IEEE, 2000. pp. 20-27
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