{"title":"基于MR和x线血管造影配准强度的方法","authors":"F. A. Durmaz, A. C. Yilmam, C. Ozturk","doi":"10.1109/BIYOMUT.2009.5130269","DOIUrl":null,"url":null,"abstract":"As we know during interventional studies X-Ray Angiography provides us a high resolution and refresh rate, but as a trade off it doesn't have soft tissue contrast. MR imaging provides us 3-D anatomic imaging, and soft tissue contrast. Our aim is to fuse 2-D X-ray images with 3-D MR volume (XFM). We are using an intensity based algorithm to find mutual information between two modalities.","PeriodicalId":119026,"journal":{"name":"2009 14th National Biomedical Engineering Meeting","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"MR and X-Ray Angiography registration intensity based approach\",\"authors\":\"F. A. Durmaz, A. C. Yilmam, C. Ozturk\",\"doi\":\"10.1109/BIYOMUT.2009.5130269\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As we know during interventional studies X-Ray Angiography provides us a high resolution and refresh rate, but as a trade off it doesn't have soft tissue contrast. MR imaging provides us 3-D anatomic imaging, and soft tissue contrast. Our aim is to fuse 2-D X-ray images with 3-D MR volume (XFM). We are using an intensity based algorithm to find mutual information between two modalities.\",\"PeriodicalId\":119026,\"journal\":{\"name\":\"2009 14th National Biomedical Engineering Meeting\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 14th National Biomedical Engineering Meeting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIYOMUT.2009.5130269\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 14th National Biomedical Engineering Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIYOMUT.2009.5130269","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
MR and X-Ray Angiography registration intensity based approach
As we know during interventional studies X-Ray Angiography provides us a high resolution and refresh rate, but as a trade off it doesn't have soft tissue contrast. MR imaging provides us 3-D anatomic imaging, and soft tissue contrast. Our aim is to fuse 2-D X-ray images with 3-D MR volume (XFM). We are using an intensity based algorithm to find mutual information between two modalities.