{"title":"基于MRI影像的心脏结构感兴趣区域定位","authors":"Marwa M. A. Hadhoud, M. Eladawy, A. Seddik","doi":"10.1109/ITNG.2012.10","DOIUrl":null,"url":null,"abstract":"In this paper, we present a new method for localizing the position of the heart from Cine MRI images. This method depends on calculating the summation of the difference between images of a specific slice that we work on it, then applying thresholding on the resulting image to get the region of interest. To validate our method, we compare between our results and results of another method used in localizing the position of the heart which depends on the standard deviation. We worked on images of 14 different patients, come from STACOM database. We achieved by this method good results in determining the position of the heart. This method has different advantages like: it works on different contrast images, fast, and fully automatic.","PeriodicalId":117236,"journal":{"name":"2012 Ninth International Conference on Information Technology - New Generations","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Region of Interest Localization of Cardiac Structure from Cine MRI Images\",\"authors\":\"Marwa M. A. Hadhoud, M. Eladawy, A. Seddik\",\"doi\":\"10.1109/ITNG.2012.10\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a new method for localizing the position of the heart from Cine MRI images. This method depends on calculating the summation of the difference between images of a specific slice that we work on it, then applying thresholding on the resulting image to get the region of interest. To validate our method, we compare between our results and results of another method used in localizing the position of the heart which depends on the standard deviation. We worked on images of 14 different patients, come from STACOM database. We achieved by this method good results in determining the position of the heart. This method has different advantages like: it works on different contrast images, fast, and fully automatic.\",\"PeriodicalId\":117236,\"journal\":{\"name\":\"2012 Ninth International Conference on Information Technology - New Generations\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Ninth International Conference on Information Technology - New Generations\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITNG.2012.10\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Ninth International Conference on Information Technology - New Generations","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITNG.2012.10","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Region of Interest Localization of Cardiac Structure from Cine MRI Images
In this paper, we present a new method for localizing the position of the heart from Cine MRI images. This method depends on calculating the summation of the difference between images of a specific slice that we work on it, then applying thresholding on the resulting image to get the region of interest. To validate our method, we compare between our results and results of another method used in localizing the position of the heart which depends on the standard deviation. We worked on images of 14 different patients, come from STACOM database. We achieved by this method good results in determining the position of the heart. This method has different advantages like: it works on different contrast images, fast, and fully automatic.