{"title":"骨骼的自动三维形状重建","authors":"J. M. Pardo, D. Cabello, J. Heras","doi":"10.1109/IEMBS.1995.575163","DOIUrl":null,"url":null,"abstract":"In this work the authors describe a knowledge based system for the automatic reconstruction of the 3D shape of the tibia from CT images. The system is structured into two levels. A low level slice by slice segmentation is first carried out. After it, a knowledge based split-and-merge process in space identifies and reconstructs anatomical structures.","PeriodicalId":20509,"journal":{"name":"Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1995-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Automatic 3D shape reconstruction of bones\",\"authors\":\"J. M. Pardo, D. Cabello, J. Heras\",\"doi\":\"10.1109/IEMBS.1995.575163\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work the authors describe a knowledge based system for the automatic reconstruction of the 3D shape of the tibia from CT images. The system is structured into two levels. A low level slice by slice segmentation is first carried out. After it, a knowledge based split-and-merge process in space identifies and reconstructs anatomical structures.\",\"PeriodicalId\":20509,\"journal\":{\"name\":\"Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMBS.1995.575163\",\"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 of 17th International Conference of the Engineering in Medicine and Biology Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMBS.1995.575163","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this work the authors describe a knowledge based system for the automatic reconstruction of the 3D shape of the tibia from CT images. The system is structured into two levels. A low level slice by slice segmentation is first carried out. After it, a knowledge based split-and-merge process in space identifies and reconstructs anatomical structures.
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