F. Banégas, M. Jaeger, D. Michelucci, Marc Roelens
{"title":"椭球骨架在医学上的应用","authors":"F. Banégas, M. Jaeger, D. Michelucci, Marc Roelens","doi":"10.1145/376957.376961","DOIUrl":null,"url":null,"abstract":"Rough 3D data images obtained by computed tomography or magnetic resonance imagery are inadequate: this paper proposes a high-level data structure called ellipsoidal skeleton. It is based on a tree of best partitions of the points set and features data compression, multi-level representation capabilities, surface reconstruction, interactive visualization, relevant parameters extraction, automatic matching and recognition.","PeriodicalId":286112,"journal":{"name":"International Conference on Smart Media and Applications","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"30","resultStr":"{\"title\":\"The ellipsoidal skeleton in medical applications\",\"authors\":\"F. Banégas, M. Jaeger, D. Michelucci, Marc Roelens\",\"doi\":\"10.1145/376957.376961\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Rough 3D data images obtained by computed tomography or magnetic resonance imagery are inadequate: this paper proposes a high-level data structure called ellipsoidal skeleton. It is based on a tree of best partitions of the points set and features data compression, multi-level representation capabilities, surface reconstruction, interactive visualization, relevant parameters extraction, automatic matching and recognition.\",\"PeriodicalId\":286112,\"journal\":{\"name\":\"International Conference on Smart Media and Applications\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"30\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Smart Media and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/376957.376961\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Smart Media and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/376957.376961","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Rough 3D data images obtained by computed tomography or magnetic resonance imagery are inadequate: this paper proposes a high-level data structure called ellipsoidal skeleton. It is based on a tree of best partitions of the points set and features data compression, multi-level representation capabilities, surface reconstruction, interactive visualization, relevant parameters extraction, automatic matching and recognition.