{"title":"加速核磁共振重建与gpu使用cuBLAS和并行NUFFT算法","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":"{\"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}","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}
Accelerating NMR reconstructions with GPUs using cuBLAS and parallel NUFFT algorithms
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.
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