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Article: Automatic extraction of bone boundaries from CT scans using an intelligence-based approach
Title | Automatic extraction of bone boundaries from CT scans using an intelligence-based approach |
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Authors | |
Issue Date | 2000 |
Citation | Proceedings - International Conference On Pattern Recognition, 2000, v. 15 n. 3, p. 437-440 How to Cite? |
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. © 2000 IEEE. |
Persistent Identifier | http://hdl.handle.net/10722/156858 |
ISSN | 2023 SCImago Journal Rankings: 0.584 |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kwan, FY | en_US |
dc.contributor.author | Cheung, KC | en_US |
dc.contributor.author | Gibson, I | en_US |
dc.date.accessioned | 2012-08-08T08:44:18Z | - |
dc.date.available | 2012-08-08T08:44:18Z | - |
dc.date.issued | 2000 | en_US |
dc.identifier.citation | Proceedings - International Conference On Pattern Recognition, 2000, v. 15 n. 3, p. 437-440 | en_US |
dc.identifier.issn | 1051-4651 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/156858 | - |
dc.description.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. © 2000 IEEE. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Proceedings - International Conference on Pattern Recognition | en_US |
dc.title | Automatic extraction of bone boundaries from CT scans using an intelligence-based approach | en_US |
dc.type | Article | en_US |
dc.identifier.email | Cheung, KC:kccheung@hkucc.hku.hk | en_US |
dc.identifier.authority | Cheung, KC=rp01322 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.scopus | eid_2-s2.0-33750896455 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-33750896455&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 15 | en_US |
dc.identifier.issue | 3 | en_US |
dc.identifier.spage | 437 | en_US |
dc.identifier.epage | 440 | en_US |
dc.publisher.place | United States | en_US |
dc.identifier.scopusauthorid | Kwan, FY=15060497500 | en_US |
dc.identifier.scopusauthorid | Cheung, KC=7402406698 | en_US |
dc.identifier.scopusauthorid | Gibson, I=15831816500 | en_US |
dc.identifier.issnl | 1051-4651 | - |