{"title":"基于自动边界提取的短轴心脏磁共振图像心功能评估","authors":"Y. Zimmer, Solange Akselrod","doi":"10.1109/CIC.1993.378378","DOIUrl":null,"url":null,"abstract":"Magnetic resonance images of the heart provide a wide variety of cardiac anatomical and physiological data. In this study an almost fully automatic process, that extracts the endocardial and epicardial boundaries and provides numerical values of the main cardiac functional parameters, is presented. The contour extraction algorithm performs well in more than 60% of the inspected images for variable quality images. Its performance improves markedly when only reasonable quality images are considered. The values obtained for cardiac parameters seem to be within the normal range.<<ETX>>","PeriodicalId":20445,"journal":{"name":"Proceedings of Computers in Cardiology Conference","volume":"3 1","pages":"743-746"},"PeriodicalIF":0.0000,"publicationDate":"1993-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Evaluation of cardiac function from short-axis cardiac magnetic resonance images using automatic boundary extraction\",\"authors\":\"Y. Zimmer, Solange Akselrod\",\"doi\":\"10.1109/CIC.1993.378378\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Magnetic resonance images of the heart provide a wide variety of cardiac anatomical and physiological data. In this study an almost fully automatic process, that extracts the endocardial and epicardial boundaries and provides numerical values of the main cardiac functional parameters, is presented. The contour extraction algorithm performs well in more than 60% of the inspected images for variable quality images. Its performance improves markedly when only reasonable quality images are considered. The values obtained for cardiac parameters seem to be within the normal range.<<ETX>>\",\"PeriodicalId\":20445,\"journal\":{\"name\":\"Proceedings of Computers in Cardiology Conference\",\"volume\":\"3 1\",\"pages\":\"743-746\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of Computers in Cardiology Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIC.1993.378378\",\"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 Computers in Cardiology Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIC.1993.378378","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation of cardiac function from short-axis cardiac magnetic resonance images using automatic boundary extraction
Magnetic resonance images of the heart provide a wide variety of cardiac anatomical and physiological data. In this study an almost fully automatic process, that extracts the endocardial and epicardial boundaries and provides numerical values of the main cardiac functional parameters, is presented. The contour extraction algorithm performs well in more than 60% of the inspected images for variable quality images. Its performance improves markedly when only reasonable quality images are considered. The values obtained for cardiac parameters seem to be within the normal range.<>
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