### 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 language | English (US) |
---|---|

Title of host publication | Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis |

Publisher | IEEE |

Pages | 20-27 |

Number of pages | 8 |

State | Published - 2000 |

Event | MMBIA-2000: IEEE Workshop on Mathematical Methods in Biomedical Image Analysis - Hilton Head Island, SC, USA Duration: Jun 11 2000 → Jun 12 2000 |

### Other

Other | MMBIA-2000: IEEE Workshop on Mathematical Methods in Biomedical Image Analysis |
---|---|

City | Hilton Head Island, SC, USA |

Period | 6/11/00 → 6/12/00 |

### Fingerprint

### ASJC Scopus subject areas

- Analysis

### Cite this

*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.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*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.

}

TY - GEN

T1 - Watersheds on the cortical surface for automated sulcal segmentation

AU - Rettmann, Maryam E.

AU - Han, Xiao

AU - Prince, Jerry Ladd

PY - 2000

Y1 - 2000

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0033721294&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0033721294&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0033721294

SP - 20

EP - 27

BT - Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis

PB - IEEE

ER -