{"title":"基于四维数据的非刚体运动时空分析","authors":"C. Nastar, N. Ayache","doi":"10.1109/MNRAO.1994.346243","DOIUrl":null,"url":null,"abstract":"Presents a method for analysis of nonrigid motion in time sequences of volume images (4D data). In this method, nonrigid motion of the deforming object's contour is dynamically approximated by a deformable surface. In order to reduce the number of parameters describing the deformation, we make use of modal analysis, which provides a spatial smoothing of the surface, and Fourier analysis of the time signals of the main deformation spectrum components, which provides a temporal smoothing. Thus, a complex nonrigid deformation displayed in 4D data is described by very few parameters: the main excited spatial modes and the main Fourier harmonics. Therefore, 4D data can be analyzed and reduced in a very efficient way. The power of the approach is illustrated by results on 4D heart-scan data.<<ETX>>","PeriodicalId":336218,"journal":{"name":"Proceedings of 1994 IEEE Workshop on Motion of Non-rigid and Articulated Objects","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Spatio-temporal analysis of nonrigid motion from 4D data\",\"authors\":\"C. Nastar, N. Ayache\",\"doi\":\"10.1109/MNRAO.1994.346243\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Presents a method for analysis of nonrigid motion in time sequences of volume images (4D data). In this method, nonrigid motion of the deforming object's contour is dynamically approximated by a deformable surface. In order to reduce the number of parameters describing the deformation, we make use of modal analysis, which provides a spatial smoothing of the surface, and Fourier analysis of the time signals of the main deformation spectrum components, which provides a temporal smoothing. Thus, a complex nonrigid deformation displayed in 4D data is described by very few parameters: the main excited spatial modes and the main Fourier harmonics. Therefore, 4D data can be analyzed and reduced in a very efficient way. The power of the approach is illustrated by results on 4D heart-scan data.<<ETX>>\",\"PeriodicalId\":336218,\"journal\":{\"name\":\"Proceedings of 1994 IEEE Workshop on Motion of Non-rigid and Articulated Objects\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1994 IEEE Workshop on Motion of Non-rigid and Articulated Objects\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MNRAO.1994.346243\",\"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 1994 IEEE Workshop on Motion of Non-rigid and Articulated Objects","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MNRAO.1994.346243","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Spatio-temporal analysis of nonrigid motion from 4D data
Presents a method for analysis of nonrigid motion in time sequences of volume images (4D data). In this method, nonrigid motion of the deforming object's contour is dynamically approximated by a deformable surface. In order to reduce the number of parameters describing the deformation, we make use of modal analysis, which provides a spatial smoothing of the surface, and Fourier analysis of the time signals of the main deformation spectrum components, which provides a temporal smoothing. Thus, a complex nonrigid deformation displayed in 4D data is described by very few parameters: the main excited spatial modes and the main Fourier harmonics. Therefore, 4D data can be analyzed and reduced in a very efficient way. The power of the approach is illustrated by results on 4D heart-scan data.<>
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
