{"title":"联合过程估计在m型超声心动图心肌边界跟踪中的应用","authors":"L. Dong, G. Pelle, M. Unser, Y. Brahimi, P. Brun","doi":"10.1109/CIC.1989.130568","DOIUrl":null,"url":null,"abstract":"A sequential approach to the detection of myocardial borders in M-mode echocardiograms is introduced. Initial border estimates are obtained from a cross-correlation detector. They are then improved by an adaptive lattice-form joint process predictor. Alternatively, a physiological constraint is used to improve the detection of the endocardium during systole. A least squares algorithm is proposed to update recursively the correlation templates in order to track their temporal variations.<<ETX>>","PeriodicalId":161494,"journal":{"name":"[1989] Proceedings. Computers in Cardiology","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Myocardial border tracking in M-mode echocardiograms using joint process estimation\",\"authors\":\"L. Dong, G. Pelle, M. Unser, Y. Brahimi, P. Brun\",\"doi\":\"10.1109/CIC.1989.130568\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A sequential approach to the detection of myocardial borders in M-mode echocardiograms is introduced. Initial border estimates are obtained from a cross-correlation detector. They are then improved by an adaptive lattice-form joint process predictor. Alternatively, a physiological constraint is used to improve the detection of the endocardium during systole. A least squares algorithm is proposed to update recursively the correlation templates in order to track their temporal variations.<<ETX>>\",\"PeriodicalId\":161494,\"journal\":{\"name\":\"[1989] Proceedings. Computers in Cardiology\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1989] Proceedings. Computers in Cardiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIC.1989.130568\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1989] Proceedings. Computers in Cardiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIC.1989.130568","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Myocardial border tracking in M-mode echocardiograms using joint process estimation
A sequential approach to the detection of myocardial borders in M-mode echocardiograms is introduced. Initial border estimates are obtained from a cross-correlation detector. They are then improved by an adaptive lattice-form joint process predictor. Alternatively, a physiological constraint is used to improve the detection of the endocardium during systole. A least squares algorithm is proposed to update recursively the correlation templates in order to track their temporal variations.<>