{"title":"临床心脏血管造影图像增强","authors":"S. BijithP, T. Deepa","doi":"10.21090/ijaerd.48935","DOIUrl":null,"url":null,"abstract":": The cardiac X ray angiogram images are very much important for the diagnosis of cardiac images. The delineation of blood vessels in medical images is an essential step in the computer aided diagnosis of cardiac vessels diseases. The noise content in the angiographic images make it harder for analysis. In this paper we discuss different image filtration methods in order to detect the vascular map for the real clinical angiograms.","PeriodicalId":13360,"journal":{"name":"Imperial journal of interdisciplinary research","volume":"17 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Image Enhancement for Clinical Cardiac Angiogram\",\"authors\":\"S. BijithP, T. Deepa\",\"doi\":\"10.21090/ijaerd.48935\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": The cardiac X ray angiogram images are very much important for the diagnosis of cardiac images. The delineation of blood vessels in medical images is an essential step in the computer aided diagnosis of cardiac vessels diseases. The noise content in the angiographic images make it harder for analysis. In this paper we discuss different image filtration methods in order to detect the vascular map for the real clinical angiograms.\",\"PeriodicalId\":13360,\"journal\":{\"name\":\"Imperial journal of interdisciplinary research\",\"volume\":\"17 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Imperial journal of interdisciplinary research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21090/ijaerd.48935\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Imperial journal of interdisciplinary research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21090/ijaerd.48935","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
: The cardiac X ray angiogram images are very much important for the diagnosis of cardiac images. The delineation of blood vessels in medical images is an essential step in the computer aided diagnosis of cardiac vessels diseases. The noise content in the angiographic images make it harder for analysis. In this paper we discuss different image filtration methods in order to detect the vascular map for the real clinical angiograms.
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