{"version":1,"kind":"Article","sha256":"","slug":"663","location":"","dependencies":[],"doi":"10.54294/8yldrq","frontmatter":{"title":"Principal Curves: a Technique for Preliminary Carotid Lumen Segmentation and Stenosis Grading","abstract":"A vessel lumen centerline extraction method is presented. Its preprocessing and initialization for the application to 3D CT angiography (CTA) image volumes are also described. This approach is based upon the theory of principal curves to finding lumen axis. Meanwhile, it also estimates the lumen local width with an 1D intensity model that depicts an ideal lumen cross-sectional profile. We tested the method on 46 CTA datasets supplied with the Carotid Lumen Segmentation and Stenosis Grading Challenge (CLS) of the ``3D Segmentation in the Clinic: a Grade Challenge'', a 2009 MICCAI Workshop. The evaluation of 31 testing datasets suggests that our method can provide a good basis for post-processing if high accuracy of segmentation and stenosis grading is desired.","license":"You are licensing your work to Kitware Inc. under the\nCreative Commons Attribution License Version 3.0.\n\nKitware Inc. agrees to the following:\n\nKitware is free\n * to copy, distribute, display, and perform the work\n * to make derivative works\n * to make commercial use of the work\n\nUnder the following conditions:\n\\\"by Attribution\\\" - Kitware must attribute the work in the manner specified by the author or licensor.\n\n * For any reuse or distribution, they must make clear to others the license terms of this work.\n * Any of these conditions can be waived if they get permission from the copyright holder.\n\nYour fair use and other rights are in no way affected by the above.\n\nThis is a human-readable summary of the Legal Code (the full license) available at\nhttp://creativecommons.org/licenses/by/3.0/legalcode","keywords":["Principal curves","Centerlines"],"authors":[{"name":"Wong, Wilbur C. K.","email":"cswilbur@cse.ust.hk","affiliations":["The Hong Kong University of Science and Technology"],"corresponding":true},{"name":"So, Ronald W. K.","affiliations":[]},{"name":"Chung, Albert C. S.","affiliations":[]}],"date_submitted":"2009-08-23 23:51:34","external_publication_id":663,"revision_cids":["bafkreici2lbjgvleetitwvgq3onvq3x2lcxaxg6skix3gegf3lb2uazqom"]},"mdast":{"type":"root"},"downloads":[{"url":"https://ipfs.desci.com/ipfs/bafkreic4f5xhst4ani4gku3pjlyvj7vk2z6c4ebaalxdxe3csfrh5bdufq","title":"root/insight-journal-metadata.json","filename":"insight-journal-metadata.json","extra":{"size_bytes":5748,"type":"file"}},{"url":"https://dweb.link/ipfs/bafkreidmwz6d4b7gxoybbbgfu5kowusk73hcl2g554hae2352zzunjoboe","title":"root/article.pdf","filename":"article.pdf","extra":{"size_bytes":381105,"type":"file"}}],"references":{"cite":{"order":["ref1","ref2","ref3","ref4","ref5","ref6","ref7","ref8","ref9"]},"data":{"ref1":{"label":"ref1","enumerator":"1","url":"https://doi.org/10.1093/schbul/17.3.483","html":"Measurement and reliability: statistical thinking considerations+5+3+483+489+1991+J. J. Bartko+Schizophr Bull"},"ref2":{"label":"ref2","enumerator":"2","url":"https://doi.org/10.3138/fm57-6770-u75u-7727","html":"Algorithms for the reduction of the number of points required to represent a line or its caricature+The Canadian Cartographer+3+2+2+122+1973+D. H. Douglas+T. K. Peucker"},"ref3":{"label":"ref3","enumerator":"3","url":"https://doi.org/10.1007/bfb0056195","html":"Multiscale vessel enhancement filtering+In Med. Imag. Comput. Comput. Assist. Interv., volume 1496 of Lecture Notes in Comput. Sci.+2+137+1998+3+A. F. Frangi+W. J. Niessen+K. L. Vincken+M. A. Viergever"},"ref4":{"label":"ref4","enumerator":"4","url":"https://doi.org/10.1118/1.4802751","html":"segmentation in the clinic: carotid lumen segmentation and stenosis grading challenge+2009+4+5+1+R. Hameeteman+M. Zuluaga+L. Joskowicz+M. Freiman+T. van Walsum. 3D"},"ref5":{"label":"ref5","enumerator":"5","url":"https://doi.org/10.1109/34.841759","html":"Learning and design of principal curves+IEEE Trans. Pattern Anal. Machine Intell+1+3+4+297+March 2000+B. Ke+T. Linder+K. Zeger"},"ref6":{"label":"ref6","enumerator":"6","url":"https://doi.org/10.1109/tsmc.1979.4310076","html":"A threshold selection method from grey-level histograms+IEEE Trans. Syst+3+1+66+1978+N. Otsu+Man"},"ref7":{"label":"ref7","enumerator":"7","html":"Implementation of weighted Dijkstra's shortest-path algorithm for n-D images+Insight Journal+January 2009+4+3+L. Weizman+M. Freiman+L. Joskowicz"},"ref8":{"label":"ref8","enumerator":"8","url":"https://doi.org/10.1109/tmi.2003.819920","html":"Multiscale vessel tracking+IEEE Trans. Med+3+1+2+133+2004+O. Wink+W. J. Niessen+M. A. Viergever"},"ref9":{"label":"ref9","enumerator":"9","url":"https://doi.org/10.1109/tip.2011.2179054","html":"Principal curves for lumen center extraction and flow channel width estimation in 3-D arterial networks: theory, algorithm and validation+Med+2009+1+3+4+W. C. K. Wong+A. C. S. Chung"}}}}