{"version":1,"kind":"Article","sha256":"","slug":"619","location":"","dependencies":[],"doi":"10.54294/cbngt2","thumbnail":"https://pub.desci.com/ipfs/bafkreibuuxhi5jruh5hgsog7u3nkctsowaguzmyb5vmtixdgtwxadmnhrq","frontmatter":{"title":"Connected Component and Morphology Based Extraction of Arterial Centerlines of the Heart (CocomoBeach)","abstract":"This document describes a novel scheme for the automated extraction of the central lumen lines of\r\ncoronary arteries from computed tomography angiography (CTA) data. The scheme first obtains a seg-\r\nmentation of the whole coronary tree and subsequently extracts the centerlines from this segmentation.\r\nThe first steps of the segmentation algorithm consist of the detection of the aorta and the entire heart\r\nregion. Next, candidate coronary artery components are detected in the heart region after the masking of\r\nthe cardiac blood pools. Based on their location and geometrical properties the structures representing\r\nthe right and left arterties are selected from the candidate list. Starting from the aorta, connections\r\nbetween these structures are made resulting in a final segmentation of the whole coronary artery tree, A\r\nfast-marching level set method combined with a backtracking algorithm is employed to obtain the initial\r\ncenterlines within this segmentation. For all vessels a curved multiplanar reformatted image (CMPR) is\r\nconstructed and used to detect the lumen contours. The final centerline was then defined by determining\r\nthe center of gravity of the detected lumen in the transversal CMPR slices.\r\nWithin the scope of the MICCAI Challenge \"Coronary Artery Tracking 2008\", the coronary tree\r\nsegmentation and centerline extraction scheme was used to automatically detect a set of centerlines in\r\n24 datasets. For 8 data sets reference centerlines were available. This training data was used during\r\nthe development and tuning of the algorithm. Sixteen other data sets were provided as testing data.\r\nEvaluation of the proposed methodology was performed through submission of the resulting centerlines\r\nto the MICCAI Challenge website","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":["Coronary","Segmentation"],"authors":[{"name":"Kitslaar, Pieter","email":"p.h.kitslaar@lumc.nl","affiliations":["LKEB"],"corresponding":true},{"name":"Frenay, Michel","email":"m.frenay@lumc.nl","affiliations":[]},{"name":"Oost, Elco","affiliations":[]},{"name":"Dijkstra, Jouke","affiliations":[]},{"name":"Stoel, Berend","affiliations":[]},{"name":"Reiber, Johan H.C","affiliations":[]}],"date_submitted":"2008-09-18 11:08:30","external_publication_id":619,"revision_cids":["bafkreibnusz3rpr33hz7ratjjnotlb7pyszox6g5gomysgsujdgzr7rame"],"thumbnail":"https://pub.desci.com/ipfs/bafkreibuuxhi5jruh5hgsog7u3nkctsowaguzmyb5vmtixdgtwxadmnhrq"},"mdast":{"type":"root"},"downloads":[{"url":"https://ipfs.desci.com/ipfs/bafkreifafitrvniqfmg4dd7atlll6luysnn7z26kf5fr4aljveisisobnm","title":"root/comments.md","filename":"comments.md","extra":{"size_bytes":182,"type":"file"}},{"url":"https://ipfs.desci.com/ipfs/bafkreifhg3tvkayi652nlxsqoj5rofu5p42nxwycvhqdqgvzqhd4fndsk4","title":"root/insight-journal-metadata.json","filename":"insight-journal-metadata.json","extra":{"size_bytes":6329,"type":"file"}},{"url":"https://dweb.link/ipfs/bafkreig5saqnt5vh37mrmhfm7hzvrwau34dsmv66xsevksf5kfsnyrsx6q","title":"root/article.pdf","filename":"article.pdf","extra":{"size_bytes":565560,"type":"file"}}],"references":{"cite":{"order":["ref1","ref2","ref3","ref4","ref5"]},"data":{"ref1":{"label":"ref1","enumerator":"1","url":"https://doi.org/10.1109/isbi.2006.1624991","html":"Automatic heart isolation for ct coronary visualization using graph cuts+In IEEE International Symposium on Biomedical Imaging, page 614617+2006+1+2+Gareth Funka-Lea+M. P. Jolly+R. Ramaraj+D. Rinck"},"ref2":{"label":"ref2","enumerator":"2","url":"https://doi.org/10.1002/mrm.1910400509","html":"3D MR Coronary Artery Segmentation. Magnetic Resonance in Medicine+1+3+702+1998+E. Harvey+Siegwalt Cline+Ludke"},"ref3":{"label":"ref3","enumerator":"3","html":"Digital Image Processing+2001+1+4+C. Rafael+Gonzalez"},"ref4":{"label":"ref4","enumerator":"4","url":"https://doi.org/10.1007/s10554-004-5341-y","html":"Towards quantitative analysis of coronary CTA+The International Journal of Cardiovascular Imaging+1+7+84+2005+Henk. A. Marquering+Patrick J.H. de Koning+Johan H.C."},"ref5":{"label":"ref5","enumerator":"5","url":"https://doi.org/10.1007/978-3-642-02498-6_44","html":"3d segmentation in the clinic: A grand challenge ii coronary artery tracking+Insight Journal+2008+C. Metz+M. Schaap+A. van der Giessen Walsum+A. Weustink+N. Mollet+W. Niessen"}}}}