{"title":"轮廓引导曲面变形的体积分割","authors":"M. Holloway, T. Ju, C. Grimm","doi":"10.1145/2787626.2792638","DOIUrl":null,"url":null,"abstract":"In clinical practice, when a subject is imaged (i.e. CT scan or MRI) the result is a 3D image of volumetric data. In order to study the organ, bone, or other object of interest, this data needs to be segmented to obtain a 3D model that can be used in any number of down stream applications. When used for treatment planning these segmentations need to not only be accurate but also produced quickly to avoid health risks. Automatic segmentation methods are becoming more reliable but many experts in the scientific community still rely on time consuming manual segmentation.","PeriodicalId":269034,"journal":{"name":"ACM SIGGRAPH 2015 Posters","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2015-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Contour guided surface deformation for volumetric segmentation\",\"authors\":\"M. Holloway, T. Ju, C. Grimm\",\"doi\":\"10.1145/2787626.2792638\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In clinical practice, when a subject is imaged (i.e. CT scan or MRI) the result is a 3D image of volumetric data. In order to study the organ, bone, or other object of interest, this data needs to be segmented to obtain a 3D model that can be used in any number of down stream applications. When used for treatment planning these segmentations need to not only be accurate but also produced quickly to avoid health risks. Automatic segmentation methods are becoming more reliable but many experts in the scientific community still rely on time consuming manual segmentation.\",\"PeriodicalId\":269034,\"journal\":{\"name\":\"ACM SIGGRAPH 2015 Posters\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM SIGGRAPH 2015 Posters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2787626.2792638\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGGRAPH 2015 Posters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2787626.2792638","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Contour guided surface deformation for volumetric segmentation
In clinical practice, when a subject is imaged (i.e. CT scan or MRI) the result is a 3D image of volumetric data. In order to study the organ, bone, or other object of interest, this data needs to be segmented to obtain a 3D model that can be used in any number of down stream applications. When used for treatment planning these segmentations need to not only be accurate but also produced quickly to avoid health risks. Automatic segmentation methods are becoming more reliable but many experts in the scientific community still rely on time consuming manual segmentation.