{"version":1,"kind":"Article","sha256":"","slug":"691","location":"","dependencies":[],"doi":"10.54294/nqg9ig","frontmatter":{"title":"Segmentation of the Left Ventricle from Cine MR Images Using a Comprehensive Approach","abstract":"Segmentation of the left ventricle is important in assessment of cardiac functional parameters. Currently, manual segmentation is the gold standard for acquiring these parameters and can be time-consuming. Therefore, accuracy and automation are two important criteria in improving cardiac image segmentation methods. In this paper, we present a comprehensive approach that utilizes various features of cine MR images and combines multiple image processing methods including thresholding, edge detection, mathematical morphology, deformable model as well as image filtering. The segmentation is performed automatically with minimized interaction to optimize segmentation results. This approach provides cardiac radiologists a practical method for accurate segmentation of the left ventricle.","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":["Comprehensive","Cardiac cine image","Left Ventricle","Segmentation"],"authors":[{"name":"Huang, Su","email":"huangsu@sbic.a-star.edu.sg","affiliations":["Singapore Bio-imaging Consortium, SINGAPORE"],"corresponding":true},{"name":"Liu, Jimin","affiliations":[]},{"name":"Lee, Looi Chow","affiliations":[]},{"name":"Venkatesh, Sudhakar K","affiliations":[]},{"name":"Teo, Lynette Li San","affiliations":[]},{"name":"Au, Christopher","affiliations":[]},{"name":"Nowinski, Wieslaw L.","affiliations":[]}],"date_submitted":"2009-08-19 00:04:58","external_publication_id":691,"revision_cids":["bafkreiaio4oyxo7ip6uywfafiyhdjstqa6qqa2f6tokbw623posudum664"]},"mdast":{"type":"root"},"downloads":[{"url":"https://ipfs.desci.com/ipfs/bafkreifenmdqtsiiy7ud74sizhiwpg3hzo7i3h6tmrb7n7njyilwjgoh7a","title":"root/insight-journal-metadata.json","filename":"insight-journal-metadata.json","extra":{"size_bytes":10649,"type":"file"}},{"url":"https://ipfs.desci.com/ipfs/bafkreidih5sphjrgnalm4fmb4wbbybufvzzugy6iquh6emmtqy2bdg7fny","title":"root/comments.md","filename":"comments.md","extra":{"size_bytes":320,"type":"file"}},{"url":"https://dweb.link/ipfs/bafkreiavthblvmtvzewjcib6zy6ubr2q5gyjt3yj3cc5bx3rnuaui22icm","title":"root/article.pdf","filename":"article.pdf","extra":{"size_bytes":347698,"type":"file"}}],"references":{"cite":{"order":["ref1","ref2","ref3","ref4","ref5","ref6","ref7","ref8","ref9","ref10","ref11","ref12","ref13","ref14","ref15","ref16","ref17","ref18","ref19","ref20","ref21","ref22","ref23"]},"data":{"ref1":{"label":"ref1","enumerator":"1","url":"https://doi.org/10.1002/9781444323894.ch2","html":"Cardiovascular Magnetic Resonance: Basic Principles+Methods and Techniques, in Cardiac CT, PET+2007+28+68+J.B. 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