口腔锥束CT图像的GPU加速重建算法研究
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摘要
CT技术应用于临床医学的诊断具有里程碑意义。针对口腔锥形束CT图像重建速度慢的问题,研究了一种基于GPU加速的口腔锥形束CT图像重建的FDK算法。研究结果表明,基于CUDA架构下,采用GPU可以实现FDK算法,且算法执行速度有了显著提升,加速比达到了100倍以上,这为口腔锥形束CT图像重建过程的加速开辟了新的途径。
引文
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[2]L.A.Feldkamp,L.C.Davis,J.W.Kress.Practical cone-beam algorithm[J],Opt.Soc.Am.A,1984,1:612-619.
[3]B.Cabral,N.Cam,and J.Foran.Accelerated volume rendering and tomographic reconstruction using texture mapping hardware[J].Symposium on Volume Visualization,1994:91-98.
[4]Xu F,Mueller K.Towards a unified framework for rapid 3D computed tomography on commodity GPUs[C].Nuclear Science Symposium Conference Record,Portland,United States:IEEE,2003,4:2757-2759.
[5]Mueller K,XU F.Practical considerations for GPU-acceleratedCT[C].International Symposium on Biomedical Imaging:Macro to Nano,Arlington,United States:IEEE,2006:1184-1187.
[6]William R M,Glanville S,Kurt A,et al..Cg:A System for programmable graphics hardware in a C-like language[J].ACM Transactions on Graphics,2003,22(3):806-907.
[7]NVIDIA CORPORATION.NVIDIA CUDATM Programming Guide[EB].http://developer,download,nvidia.com/compute/cuda/3_0/toolkit/docs/NVIDIA_CUDA_ProgrammingGuide.pdf,2010/2/10.
[8]Cherl H,Keck B,Kowarschik M,et al.Fast GPU-Based CT reconstruction using the common unified device architecture(CUDA)[C].Nuclear Science Symposium and Medical Imaging Conference,Honolulu,HI:IEEE,2007:4464-4466.
[9]庄天戈.CT原理与算法[M].上海:上海交通大学出版社,1992.
[10]Pan L,Gu L X,Xu J R.Implementation of medical image segmentation in CUDA[C].5th International Conference on Information Technology and Applications,Shenzhen,China:IEEE,2008:82-85.
[11]王珏,曹思远,邹永宁.利用CUDA技术实现锥束cT图像快速重建[J].核电子学与探测技术,201030(3):315-320.
[12]张晶,张权,刘祎,桂志国.锥束CT中FDK算法的快速对称优化与GPU实现[J].计算机工程与设计,2014,35(8):2813-2816.
[13]NVIDIA Corporation.NVIDIA CUDA Programming Guide 2.0[EB/OL].
[14]刘勇.使用GPU加速通用科学计算-CUDA技术解析[J].科技信息,2008,24:394-411.
[15]曹思远.锥束CT三维重建算法加速技术研究[D].重庆:重庆大学,2009,48-65.