Automatic extraction of bone boundaries from CT scans using an intelligence-based approach

F. Y. Kwan, K. C. Cheung, I. Gibson

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

2 Citations (Scopus)

Abstract

The objective of extracting bone structure boundaries from computed tomography (CT) data is to serve as input for three-dimensional model reconstruction. Various boundary detection algorithms 1 for CT images have been developed in the last few decades but very few of them are completely automatic. Also, most of them were not capable of dealing with critical locations such as narrow gaps. A novel intelligence-based approach is proposed for automatic extraction of bone boundaries. This approach involves three major steps - gap detection, fuzzy multilevel thresholding and boundary transform (thinning method). Results of applying the approach to CT images are presented, with a discussion of the potential for clinical application.

Original languageEnglish
Title of host publicationProceedings 15th International Conference on Pattern Recognition. ICPR-2000
PublisherIEEE
Pages437-440
Number of pages4
Volume15
Edition3
ISBN (Print)0-7695-0750-6
DOIs
Publication statusPublished - 6 Aug 2002
Externally publishedYes
Event15th International Conference on Pattern Recognition, ICPR 2000 - Barcelona, Spain
Duration: 3 Sep 20007 Sep 2000
Conference number: 15

Conference

Conference15th International Conference on Pattern Recognition, ICPR 2000
Abbreviated titleICPR 2000
CountrySpain
CityBarcelona
Period3/09/007/09/00

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