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A density distance augmented Chan-Vese active contour for CT bone segmentation

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

17 Citations (Scopus)

Abstract

Bone segmentation from Computed Tomography (CT) images is a critical component in computer-assisted orthopedic surgery but is a challenging task. Among many active contour (AC) models employed to solve the problem, the Chan-Vese AC[1] yields superior performances as evaluated in[2]. However, the CV AC fails to correctly extract the objects that are of high inhomogeneity because its nature is the minimization of the differences within the objects. In this paper, we propose to incorporate a Bhattacharrya term to the CV functional which helps to maximize the distance between the density functions of the objects and the background. The proposed model is tested with various synthetic and real CT images. Preliminary experimental results show that it can overcome the limitation of the CV AC.

Original languageEnglish
Title of host publicationProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
PublisherIEEE Computer Society
Pages482-485
Number of pages4
ISBN (Print)9781424418152
DOIs
Publication statusPublished - 2008
Event30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC, Canada
Duration: 20 Aug 200825 Aug 2008

Publication series

NameProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Conference

Conference30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
Country/TerritoryCanada
CityVancouver, BC
Period20/08/0825/08/08

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