{"title":"管状器官切片自动定位的模块化算法","authors":"G. de Dietrich","doi":"10.1109/MIAR.2001.930280","DOIUrl":null,"url":null,"abstract":"Many algorithms for automatic slice positioning in tubular organs exist but they are generally devoted to one kind of organ (vessel or bronchus) and not usable for the other. We propose a new modular algorithm based on three steps: first a pre-segmentation of the organ; then a skeletonisation step that builds a poly-line skeleton of this organ; finally we are able to position and compute slices from this skeleton and work on them applying more conventional 2D segmentation algorithms.","PeriodicalId":375408,"journal":{"name":"Proceedings International Workshop on Medical Imaging and Augmented Reality","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A modular algorithm for automatic slice positioning in tubular organs\",\"authors\":\"G. de Dietrich\",\"doi\":\"10.1109/MIAR.2001.930280\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many algorithms for automatic slice positioning in tubular organs exist but they are generally devoted to one kind of organ (vessel or bronchus) and not usable for the other. We propose a new modular algorithm based on three steps: first a pre-segmentation of the organ; then a skeletonisation step that builds a poly-line skeleton of this organ; finally we are able to position and compute slices from this skeleton and work on them applying more conventional 2D segmentation algorithms.\",\"PeriodicalId\":375408,\"journal\":{\"name\":\"Proceedings International Workshop on Medical Imaging and Augmented Reality\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings International Workshop on Medical Imaging and Augmented Reality\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MIAR.2001.930280\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings International Workshop on Medical Imaging and Augmented Reality","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MIAR.2001.930280","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A modular algorithm for automatic slice positioning in tubular organs
Many algorithms for automatic slice positioning in tubular organs exist but they are generally devoted to one kind of organ (vessel or bronchus) and not usable for the other. We propose a new modular algorithm based on three steps: first a pre-segmentation of the organ; then a skeletonisation step that builds a poly-line skeleton of this organ; finally we are able to position and compute slices from this skeleton and work on them applying more conventional 2D segmentation algorithms.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
