{"title":"血管MRI三维血管跟踪与定量","authors":"P. Reuze, J. Coatrieux, L. Luo, J. Dillenseger","doi":"10.1109/NEBC.1993.404423","DOIUrl":null,"url":null,"abstract":"A method for the three-dimensional (3-D) tracking and the quantitation of blood vessels from magnetic resonance imaging (MRI) is discussed. The approach is based on the 3-D geometrical moments and consists of the following steps: (1) interactive selection of 3-D seed points, (2) automatic tracking of the vessels, (3) local computation of both diameter and orientation, and (4) rendering of the vessel approximation model. The results on simulated and real data depict a good behavior of the detection and estimation scheme.<<ETX>>","PeriodicalId":159783,"journal":{"name":"1993 IEEE Annual Northeast Bioengineering Conference","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"3-D vessel tracking and quantitation in angio MRI\",\"authors\":\"P. Reuze, J. Coatrieux, L. Luo, J. Dillenseger\",\"doi\":\"10.1109/NEBC.1993.404423\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method for the three-dimensional (3-D) tracking and the quantitation of blood vessels from magnetic resonance imaging (MRI) is discussed. The approach is based on the 3-D geometrical moments and consists of the following steps: (1) interactive selection of 3-D seed points, (2) automatic tracking of the vessels, (3) local computation of both diameter and orientation, and (4) rendering of the vessel approximation model. The results on simulated and real data depict a good behavior of the detection and estimation scheme.<<ETX>>\",\"PeriodicalId\":159783,\"journal\":{\"name\":\"1993 IEEE Annual Northeast Bioengineering Conference\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1993 IEEE Annual Northeast Bioengineering Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NEBC.1993.404423\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1993 IEEE Annual Northeast Bioengineering Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NEBC.1993.404423","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A method for the three-dimensional (3-D) tracking and the quantitation of blood vessels from magnetic resonance imaging (MRI) is discussed. The approach is based on the 3-D geometrical moments and consists of the following steps: (1) interactive selection of 3-D seed points, (2) automatic tracking of the vessels, (3) local computation of both diameter and orientation, and (4) rendering of the vessel approximation model. The results on simulated and real data depict a good behavior of the detection and estimation scheme.<>
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