{"title":"并行处理技术在三维冠状动脉造影中的应用","authors":"A. Sarwal, J. Ramanathan, D. Parker, Jiang Wu","doi":"10.1109/DMCC.1990.555381","DOIUrl":null,"url":null,"abstract":"One important reason for the lack of acceptance of coronary arteriography techniques is the four hours (approximate) required for accurate 3D quantification of an arterial tree, thus making it prohibitive for the clinician to utilize. Parallel processing techniques can greatly speed up the image processing and analysis of 3D arterial trees. It has been demonstrated in this project1 that the reconstruction of the three dimensional image and arteriographic measurements can be made close to real time using these techniques. 1. Problem Description","PeriodicalId":204431,"journal":{"name":"Proceedings of the Fifth Distributed Memory Computing Conference, 1990.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Parallel Processing Applied to 3D Coronary Arteriography\",\"authors\":\"A. Sarwal, J. Ramanathan, D. Parker, Jiang Wu\",\"doi\":\"10.1109/DMCC.1990.555381\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One important reason for the lack of acceptance of coronary arteriography techniques is the four hours (approximate) required for accurate 3D quantification of an arterial tree, thus making it prohibitive for the clinician to utilize. Parallel processing techniques can greatly speed up the image processing and analysis of 3D arterial trees. It has been demonstrated in this project1 that the reconstruction of the three dimensional image and arteriographic measurements can be made close to real time using these techniques. 1. Problem Description\",\"PeriodicalId\":204431,\"journal\":{\"name\":\"Proceedings of the Fifth Distributed Memory Computing Conference, 1990.\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Fifth Distributed Memory Computing Conference, 1990.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DMCC.1990.555381\",\"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 the Fifth Distributed Memory Computing Conference, 1990.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DMCC.1990.555381","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parallel Processing Applied to 3D Coronary Arteriography
One important reason for the lack of acceptance of coronary arteriography techniques is the four hours (approximate) required for accurate 3D quantification of an arterial tree, thus making it prohibitive for the clinician to utilize. Parallel processing techniques can greatly speed up the image processing and analysis of 3D arterial trees. It has been demonstrated in this project1 that the reconstruction of the three dimensional image and arteriographic measurements can be made close to real time using these techniques. 1. Problem Description