{"title":"基于fpga的自由变形计算","authors":"Jun Jiang, W. Luk, D. Rueckert","doi":"10.1109/FPT.2002.1188722","DOIUrl":null,"url":null,"abstract":"This paper describes techniques for producing FPGA-based designs that support free-form deformation in medical image processing. The free-form deformation method is based on a B-spline algorithm for modelling three-dimensional deformable objects. Our design includes four optimisations. First, we store the values of a third-order B-spline model in lookup tables. Second, we adopt a customised number representation format in our implementation. Third, we transform a nested loop so that conditionals are moved outside the loop. Fourth, we pipeline the design to increase its throughput, and we also deploy multiple pipelines such that each covers a different image. Our design description, captured in the Handel-C language, is parameterisable at compile time to support a range of image resolutions and computational precisions. An implementation on a Xilinx XC2V6000 device would be capable of processing images of resolution up to 256 by 256 pixels in real time.","PeriodicalId":355740,"journal":{"name":"2002 IEEE International Conference on Field-Programmable Technology, 2002. (FPT). Proceedings.","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"FPGA-based computation of free-form deformations\",\"authors\":\"Jun Jiang, W. Luk, D. Rueckert\",\"doi\":\"10.1109/FPT.2002.1188722\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes techniques for producing FPGA-based designs that support free-form deformation in medical image processing. The free-form deformation method is based on a B-spline algorithm for modelling three-dimensional deformable objects. Our design includes four optimisations. First, we store the values of a third-order B-spline model in lookup tables. Second, we adopt a customised number representation format in our implementation. Third, we transform a nested loop so that conditionals are moved outside the loop. Fourth, we pipeline the design to increase its throughput, and we also deploy multiple pipelines such that each covers a different image. Our design description, captured in the Handel-C language, is parameterisable at compile time to support a range of image resolutions and computational precisions. An implementation on a Xilinx XC2V6000 device would be capable of processing images of resolution up to 256 by 256 pixels in real time.\",\"PeriodicalId\":355740,\"journal\":{\"name\":\"2002 IEEE International Conference on Field-Programmable Technology, 2002. (FPT). Proceedings.\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2002 IEEE International Conference on Field-Programmable Technology, 2002. (FPT). Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FPT.2002.1188722\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2002 IEEE International Conference on Field-Programmable Technology, 2002. (FPT). Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FPT.2002.1188722","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper describes techniques for producing FPGA-based designs that support free-form deformation in medical image processing. The free-form deformation method is based on a B-spline algorithm for modelling three-dimensional deformable objects. Our design includes four optimisations. First, we store the values of a third-order B-spline model in lookup tables. Second, we adopt a customised number representation format in our implementation. Third, we transform a nested loop so that conditionals are moved outside the loop. Fourth, we pipeline the design to increase its throughput, and we also deploy multiple pipelines such that each covers a different image. Our design description, captured in the Handel-C language, is parameterisable at compile time to support a range of image resolutions and computational precisions. An implementation on a Xilinx XC2V6000 device would be capable of processing images of resolution up to 256 by 256 pixels in real time.