{"version":1,"kind":"Article","sha256":"","slug":"595","location":"","dependencies":[],"doi":"10.54294/5a8e0f","frontmatter":{"title":"Coronary Artery Tracking in 3D Cardiac CT Images Using Local Morphological Reconstruction Operators","abstract":"Automatic segmentation and tracking of the coronary artery tree from Cardiac Multislice-CT images is an important goal to improve the diagnosis and treatment of coronary artery disease. This paper presents a semi-automatic algorithm (one input point per vessel) based on morphological grayscale local reconstructions in 3D images devoted to the extraction of the coronary artery tree. The algorithm has been evaluated in the framework of the Coronary Artery Tracking Challenge 2008 [1], obtaining consistent results in overlapping measurements (a mean of 70% of the vessel well tracked). Poor results in accuracy measurements suggest that future work should refine the centerline extraction. The algorithm can be efficiently implemented and its general strategy can be easily extrapolated to a completely automated centerline extraction or to a user interactive vessel extraction.","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":["morphological reconstruction","CT coronary images","vessel tracking"],"authors":[{"name":"Castro, Carlos","email":"ccastro@die.upm.es","affiliations":["universidad polictécnica de madrid"],"corresponding":true},{"name":"Luengo-Oroz, Miguel �ngel","affiliations":[]},{"name":"Santos, Andr�","affiliations":[]},{"name":"Ledesma-Carbayo, Mar�a J.","affiliations":[]}],"date_submitted":"2008-07-08T13:00:30Z","external_publication_id":595,"revision_cids":["bafkreie5tckvv6tyciffw5ga64ux2x5nru7efpi4fld3ib5cy73rhi5kjq"]},"mdast":{"type":"root"},"downloads":[{"url":"https://ipfs.desci.com/ipfs/bafkreidawedr4jd56myfneqxgemnpobsomoqsui65zpaeemei5ajcif4nu","title":"root/insight-journal-metadata.json","filename":"insight-journal-metadata.json","extra":{"size_bytes":6403,"type":"file"}},{"url":"https://dweb.link/ipfs/bafkreicssrsplctodjcarxlqnxsnzx6bar53db6ic5xycydmnkbj5cjcy4","title":"root/article.pdf","filename":"article.pdf","extra":{"size_bytes":243544,"type":"file"}}],"references":{"cite":{"order":["ref1","ref2","ref3","ref4","ref5","ref6","ref7","ref8","ref9","ref10"]},"data":{"ref1":{"label":"ref1","enumerator":"1","url":"https://doi.org/10.1007/978-3-540-85988-8_107","html":"3D Segmentation in the Clinic: A Grand Challenge II - Coronary Artery Tracking. 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