原子能科学技术Issue(11)：2161-2165,5.DOI:10.7538/yzk.2013.47.11.2161
基于异构多GPU的锥束CT图像重建研究
Research on Cone-beam Computed Tomographic Reconstruction Based on Heterogeneous Multi-GPU
丛鹏 1王秉欣1
作者信息
- 1. 清华大学 核能与新能源技术研究院，北京 100084
- 折叠
摘要
Abstract
With respect to the problem due to the different multi-GPU types in cone-beam CT reconstruction ,a model was proposed based on heterogeneous multi-GPUs . Using FDK algorithm for reconstruction , the model allocated tasks according to the computing capacity of each GPU ,ensuring the balance among GPUs .Massive data image reconstruction was achieved by data flow decomposition .The implementation of the method was carried out based on CUDA ,including multi-GPUs parallel computing using data flow management and asynchronous function and the design of the kernel function in filtering and back-projection .The model was tested on the high precision in-dustrial CT system .The results illustrate that the reconstruction model is accurate and effective ,taking full advantage of heterogeneous multi-GPUs ,and is considerably effec-tive compared to conventional methods .关键词
异构多GPU/锥束CT/图像重建Key words
heterogeneous multi-GPU/cone-beam CT/image reconstruction分类
能源科技引用本文复制引用
丛鹏,王秉欣..基于异构多GPU的锥束CT图像重建研究[J].原子能科学技术,2013,(11):2161-2165,5.
