{"title":"超声造影灌注研究中心脏结构的自动识别","authors":"P. Merialdo, F. Bilotta, L. Fiorani, G. Gigante","doi":"10.1109/CBMS.1997.596410","DOIUrl":null,"url":null,"abstract":"Myocardial perfusion information is crucial in the clinical evaluation of patients with coronary artery disease. A software tool dedicated to the automated analysis of contrast echocardiographic images for the evaluation of myocardial perfusion is presented in this paper. The system recognizes the internal border of the heart during the transit of an ultrasound contrast bolus injection and draws regions of interest. For each region of interest, time intensity curves are derived in order to quantify segmental perfusion.","PeriodicalId":292377,"journal":{"name":"Proceedings of Computer Based Medical Systems","volume":"115 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Automated recognition of cardiac structures in echocontrast perfusion studies\",\"authors\":\"P. Merialdo, F. Bilotta, L. Fiorani, G. Gigante\",\"doi\":\"10.1109/CBMS.1997.596410\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Myocardial perfusion information is crucial in the clinical evaluation of patients with coronary artery disease. A software tool dedicated to the automated analysis of contrast echocardiographic images for the evaluation of myocardial perfusion is presented in this paper. The system recognizes the internal border of the heart during the transit of an ultrasound contrast bolus injection and draws regions of interest. For each region of interest, time intensity curves are derived in order to quantify segmental perfusion.\",\"PeriodicalId\":292377,\"journal\":{\"name\":\"Proceedings of Computer Based Medical Systems\",\"volume\":\"115 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-03-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of Computer Based Medical Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CBMS.1997.596410\",\"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 Computer Based Medical Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBMS.1997.596410","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automated recognition of cardiac structures in echocontrast perfusion studies
Myocardial perfusion information is crucial in the clinical evaluation of patients with coronary artery disease. A software tool dedicated to the automated analysis of contrast echocardiographic images for the evaluation of myocardial perfusion is presented in this paper. The system recognizes the internal border of the heart during the transit of an ultrasound contrast bolus injection and draws regions of interest. For each region of interest, time intensity curves are derived in order to quantify segmental perfusion.
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