{"version":1,"kind":"Article","sha256":"","slug":"686","location":"","dependencies":[],"doi":"10.54294/529oca","frontmatter":{"title":"Segmenting the Left Ventricle in 3D Using a Coupled ASM and a Learned Non-Rigid Spatial Model","abstract":"This paper presents a new approach to higher dimensional segmentation. We present an extended Active Shape Model (ASM) formulation for the segmentation of multi-contour anatomical structures. We employ coupling and weighting schemes to improve the robustness of ASM segmentation. 3D segmentation is achieved through propagation of a 2D ASM using a learned non-rigid spatial model. This approach does not suffer from the training and aligning difficulties faced by direct 3D model-based methods. Experimental results are encouraging at this early stage, and future directions of research are provided. \n","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":["active shape model","left ventricle","non-rigid model","segmentation","coupled ASM","adaptive weighting"],"authors":[{"name":"O'Brien, Stephen","email":"stephen.obrien32@mail.dcu.ie","affiliations":["Dublin City University, Dublin 9, Ireland"],"corresponding":true},{"name":"Ghita, Ovidiu","affiliations":[]},{"name":"Whelan, Paul F.","affiliations":[]}],"date_submitted":"2009-07-29 03:54:14","external_publication_id":686,"revision_cids":["bafkreidxqdo4mi65yji77ettmkdskvhxoxgxsnpxoatvrndrqotmaiazai"]},"mdast":{"type":"root"},"downloads":[{"url":"https://ipfs.desci.com/ipfs/bafkreigop4dyemgc66to7aizatcpzdp4pjadel6kib5uc55mlxjvlha3gi","title":"root/insight-journal-metadata.json","filename":"insight-journal-metadata.json","extra":{"size_bytes":7350,"type":"file"}},{"url":"https://dweb.link/ipfs/bafkreibunma2rlw5jmozxffwhsofugakfc6kz3gpbthzfhsusst5ptc7ne","title":"root/article.pdf","filename":"article.pdf","extra":{"size_bytes":478114,"type":"file"}}],"references":{"cite":{"order":["ref1","ref2","ref3","ref4","ref5","ref6","ref7","ref8","ref9","ref10","ref11","ref12","ref13","ref14"]},"data":{"ref1":{"label":"ref1","enumerator":"1","html":"Cardiovascular disease statistics+2004+W.H.O."},"ref2":{"label":"ref2","enumerator":"2","url":"https://doi.org/10.1109/42.906421","html":"Three-dimensional modeling for functional analysis of cardiacimages, a review+IEEE Transactions on Medical Imaging+20+1+2001+5+A. 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