{"title":"Accelerating NMR reconstructions with GPUs using cuBLAS and parallel NUFFT algorithms","authors":"A. Capozzoli, C. Curcio, A. Liseno","doi":"10.1109/APS.2014.6905138","DOIUrl":null,"url":null,"abstract":"We present the development of a fully parallel Magnetic Resonance Imaging algorithm written in CUDA language capable to very quickly process data collected under non-conventional (e.g., spiral) acquisition schemes.","PeriodicalId":6663,"journal":{"name":"2014 IEEE Antennas and Propagation Society International Symposium (APSURSI)","volume":"117 1","pages":"1624-1625"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Antennas and Propagation Society International Symposium (APSURSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APS.2014.6905138","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We present the development of a fully parallel Magnetic Resonance Imaging algorithm written in CUDA language capable to very quickly process data collected under non-conventional (e.g., spiral) acquisition schemes.