基于CUDA的GPU加速代数迭代重建算法

雷德川; 许州; 陈浩

基于CUDA的GPU加速代数迭代重建算法

雷德川¹,
许州^1,2,
陈浩^1,2

1.
中国工程物理研究院应用电子学研究所，绵阳621900
2.
国家X射线数字化成像仪器中心，绵阳621000

详细信息

作者简介:
雷德川(1987-)，男，硕士研究生，主要从事射线成像、图像重建等方面的研究工作。

中图分类号: TG115.28;TP391.41
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出版历程
- 收稿日期: 2011-08-16
- 刊出日期: 2012-08-09

Accelerating Simultaneous Algebraic Reconstruction Technique Based on CUDA-Enabled GPU

摘要

摘要: CT迭代重建算法多用于投影数据不完备的情况，但迭代重建算法在普通计算机上的计算非常耗时，主要源于需要反复地进行投影与反投影计算。为此，文章提出了一种基于NVIDIA统一计算设备架构(CUDA)的联合代数重建加速方法。采用基于射线驱动和基于体素驱动的方法分别加速投影与反投影过程。试验结果显示，在不影响重建图像质量的基础上，重建时间大大减少，具有工程应用价值。
- 计算机断层成像 /
- 图像重建 /
- 联合代数重建技术 /
- 正投影 /
- 反投影
Abstract: Iterative methods is a popular choice in image reconstruction fields due to its capability of recovering object information from incomplete acquisition data. However, it is computationally expensive due to frequent uses of forward and backward projections. In this paper, a method of accelerating SART based on CUDA-enabled GPU was proposed. We introduced a ray-driven method for forward projection and a voxel-driven approach for backward projection. The experimental results showed that the reconstructed images quality was not affected, but the reconstruction time was greatly decreased.
- Computerized tomography /
- Image reconstruction /
- Simultaneous algebraic reconstruction technique /
- Forward projection /
- Backward projection

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参考文献(11)

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[10]	史怀林，孙丰荣，姜威，等.CT图像SART重建技术的CUDA并行实现［J］.计算机应用,2011,31(5):1245-1248.
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基于CUDA的GPU加速代数迭代重建算法

作者简介: 雷德川(1987-)，男，硕士研究生，主要从事射线成像、图像重建等方面的研究工作。

计量

出版历程

Accelerating Simultaneous Algebraic Reconstruction Technique Based on CUDA-Enabled GPU

计量

出版历程

目录

作者简介:
雷德川(1987-)，男，硕士研究生，主要从事射线成像、图像重建等方面的研究工作。