{"title":"A periodic generalized cylinder model with local deformations for tracking closed contours exhibiting repeating motion","authors":"Thomas O'Donnell, Alok Gupta, T. Boult","doi":"10.1109/ICPR.1994.576307","DOIUrl":null,"url":null,"abstract":"Periodic data is often most appropriately described with a periodic model. This allows for the subsumption of tracking into model fitting and a natural method for the interpolation of data over time. We present a deformable periodic generalized cylinder (DPGC) for simultaneously modeling and tracking closed contours which exhibit a repeating motion. Results of the recovery of the projection of a beating left ventricle (BLV) from segmented ultrasound data as well as the segmentation of a BLV cross section from series of MR image slices are presented.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"131 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 12th International Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.1994.576307","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
Periodic data is often most appropriately described with a periodic model. This allows for the subsumption of tracking into model fitting and a natural method for the interpolation of data over time. We present a deformable periodic generalized cylinder (DPGC) for simultaneously modeling and tracking closed contours which exhibit a repeating motion. Results of the recovery of the projection of a beating left ventricle (BLV) from segmented ultrasound data as well as the segmentation of a BLV cross section from series of MR image slices are presented.