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

TitleAutomatic extraction of bone boundaries from CT scans using an intelligence-based approach
Authors
Issue Date2000
Citation
Proceedings - International Conference On Pattern Recognition, 2000, v. 15 n. 3, p. 437-440 How to Cite?
AbstractThe 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. © 2000 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/156858
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorKwan, FYen_US
dc.contributor.authorCheung, KCen_US
dc.contributor.authorGibson, Ien_US
dc.date.accessioned2012-08-08T08:44:18Z-
dc.date.available2012-08-08T08:44:18Z-
dc.date.issued2000en_US
dc.identifier.citationProceedings - International Conference On Pattern Recognition, 2000, v. 15 n. 3, p. 437-440en_US
dc.identifier.issn1051-4651en_US
dc.identifier.urihttp://hdl.handle.net/10722/156858-
dc.description.abstractThe 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. © 2000 IEEE.en_US
dc.languageengen_US
dc.relation.ispartofProceedings - International Conference on Pattern Recognitionen_US
dc.titleAutomatic extraction of bone boundaries from CT scans using an intelligence-based approachen_US
dc.typeArticleen_US
dc.identifier.emailCheung, KC:kccheung@hkucc.hku.hken_US
dc.identifier.authorityCheung, KC=rp01322en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-33750896455en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33750896455&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume15en_US
dc.identifier.issue3en_US
dc.identifier.spage437en_US
dc.identifier.epage440en_US
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridKwan, FY=15060497500en_US
dc.identifier.scopusauthoridCheung, KC=7402406698en_US
dc.identifier.scopusauthoridGibson, I=15831816500en_US

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