{"version":1,"kind":"Article","sha256":"","slug":"683","location":"","dependencies":[],"doi":"10.54294/xvoael","frontmatter":{"title":"LV Challenge LKEB Contribution: Fully Automated Myocardial Contour Detection","abstract":"In this paper a contour detection method is described and evaluated\non the evaluation data sets of the Cardiac MR Left Ventricle Segmentation\nChallenge as part of MICCAI 2009’s 3D Segmentation Challenge for Clinical\nApplications. The proposed method, using 2D AAM and 3D ASM, performs a\nfully automated detection of the myocardial contours, not requiring any user\ninteraction. The algorithm’s performance is reported using the metrics provided\nby the LV Challenge organization. Endocardial contour detection was classified\nas successful in 86% of the images and epicardial contours in 94%. The average\nperpendicular distance (APD) of the successful contours was 2.28 mm and\n2.29 mm for the endo- and epicardial contours, respectively.","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":["left ventricle","aam","asm","segmentation","cardiac","mri"],"authors":[{"name":"Wijnhout, Jeroen","email":"j.s.wijnhout@lumc.nl","affiliations":["LKEB"],"corresponding":true},{"name":"Hendriksen, Dennis","affiliations":[]},{"name":"Van Assen, Hans","affiliations":[]},{"name":"Van der Geest, Rob","email":"rvdgeest@lumc.nl","affiliations":[]}],"date_submitted":"2009-07-31 03:07:56","external_publication_id":683,"revision_cids":["bafkreigymghivt3l6gzktexcx4mlwi63ukgk3ddnisbjturjvkmnxfkx3y"]},"mdast":{"type":"root"},"downloads":[{"url":"https://ipfs.desci.com/ipfs/bafkreiczuo2gjammfut3zq5dbcxo2clyiwur32nskexjuugiohn4czn7vm","title":"root/insight-journal-metadata.json","filename":"insight-journal-metadata.json","extra":{"size_bytes":6383,"type":"file"}},{"url":"https://dweb.link/ipfs/bafkreiaujiqpzq4oxaddmyiz5m4tfy6jtafc2reutevqcnziccbcoe2zse","title":"root/article.pdf","filename":"article.pdf","extra":{"size_bytes":161784,"type":"file"}}],"references":{"cite":{"order":["ref1","ref2","ref3","ref4","ref5","ref6","ref7","ref8"]},"data":{"ref1":{"label":"ref1","enumerator":"1","url":"https://doi.org/10.1186/1532-429x-12-s1-p238","html":"Evaluation Framework for Algorithms Segmenting Short Axis Cardiac MRI+The MIDAS Journal - Cardiac MR Left Ventricle Segmentation Challenge+P Radau+Y Lu+K Connelly+G Paul+AJ Dick+GA Wright"},"ref2":{"label":"ref2","enumerator":"2","url":"https://doi.org/10.1016/s0734-189x(88)80033-1","html":"A survey of the Hough transform+Computer Vision Graphics and Image Processing+44+87+116+1988+J.K. 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