A segmentation scheme of brainstem and cerebellum using scale-based fuzzy connectedness and deformable contour model

Jiann Der Lee*, Neng Wei Wang, Chung Hsien Huang, Li Chang Liu, Chin Song Lu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

A semi-automatic multiple-stage segmentation scheme of brainstem and cerebellum is proposed in this paper. This proposed scheme contains a modified Scale-based Fuzzy Connectedness (FC) algorithm, a morphology operator, Chain code, and Active Contour Mode (ACM). A modified Scale-based FC is utilized to delivery a rough segmentation, a morphology operator and Chain code are used to compensate the uncompleted small regions and derive an initial contour, and ACM is employed to obtain the final object boundary with the aid of the initial contour from the previous stages. The experimental results verify that the segmentation results using the proposed scheme are more accurate than using a single algorithm based on a Scale-Based FC method.

Original languageEnglish
Title of host publicationProceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Pages459-462
Number of pages4
StatePublished - 2005
Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: 01 09 200504 09 2005

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume7 VOLS
ISSN (Print)0589-1019

Conference

Conference2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Country/TerritoryChina
CityShanghai
Period01/09/0504/09/05

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