{"version":1,"kind":"Article","sha256":"","slug":"551","location":"","dependencies":[],"doi":"10.54294/vg46tm","frontmatter":{"title":"A Mix-resolution Bone-related Statistical Deformable Model (mBr-SDM) for Soft Tissue Prediction in Orthognathic Surgery Planning","abstract":"In this paper, we propose a Mix-resolution Bone-related Statistical Deformable Model (mBr-SDM) to improve the predicting accuracy of orthognathic surgery, particularly for the main deformation region. Mix-resolution Br-SDM consists of two separate Br-SDM of different resolutions: a high-resolution Br-SDM which is trained with more samples to capture the detail deforming variations in the main deforming regions of interest, together with a low-resolution Br-SDM which is trained with a smaller number of samples to capture the major variations of the remaining facial points. The experiments have shown that the mix-resolution Br-SDM is able to significantly reduce the predicting error compared with the corresponding Finite Element Model, while giving a low computational cost which is characteristic of the SDM approach.","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":["Finite Element Model","Surgical Planning","Orthognathic Surgery","Mix-resolution Br-SDM","Statistical Model"],"authors":[{"name":"Qizhen, He","email":"qizhenhe2@student.cityu.edu.hk","affiliations":["City University of Hong Kong"],"corresponding":true},{"name":"Horace, Ip","affiliations":[]},{"name":"Xia, James","affiliations":[]}],"date_submitted":"2008-05-19T07:14:03Z","external_publication_id":551,"revision_cids":["bafkreigmjiwesiqcr7i74dshzvbsqpvhvhdumxubnbqq2upyff453i4wfa"]},"mdast":{"type":"root"},"downloads":[{"url":"https://ipfs.desci.com/ipfs/bafkreieglxvpcam6bhbcx7k76i2xokhnyaylpvpgrqsuize2t344xefqdq","title":"root/insight-journal-metadata.json","filename":"insight-journal-metadata.json","extra":{"size_bytes":15822,"type":"file"}},{"url":"https://ipfs.desci.com/ipfs/bafkreifbcrup6tskntnmmq7z4vzbprosb6wdi3lwk3ooea65lguajk523i","title":"root/reviews.md","filename":"reviews.md","extra":{"size_bytes":8259,"type":"file"}},{"url":"https://dweb.link/ipfs/bafkreiduo6tkys3im7ydij5cip3jwezwjbqoqm5te7ut7mskwzwepb2wri","title":"root/article.pdf","filename":"article.pdf","extra":{"size_bytes":163157,"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/10.3109/10929089809149844","html":"Deformable Modeling of Facial Tissue for Craniofacial Surgery Simulation+Computer Aided+3+228+238+1998+Erwin Keeve+Sabine Girod"},"ref2":{"label":"ref2","enumerator":"2","url":"https://doi.org/10.1109/5.662874","html":"Finite Element Modeling in Surgery Simulation+Proceedings of the IEEE+86+33+490+503+1998+M Bro-Nielsen"},"ref3":{"label":"ref3","enumerator":"3","url":"https://doi.org/10.1016/j.media.2007.02.003","html":"Predicting soft-tissue deformations for a maxillofacial surgery planning system: From computational strategies to a complete clinical validation+Medical Image Analysis+11+3+282+301+2007+W. 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