Towards real-time radiation therapy: GPU accelerated superposition/convolution
Towards real-time radiation therapy: GPU accelerated superposition/convolution
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DOI：
10.1016/j.cmpb.2009.07.004
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发表时间：
2010-06-01
影响因子：
6.1
通讯作者：
McNutt, Todd
中科院分区：
文献类型：
--
作者：
Jacques, Robert;Taylor, Russell;McNutt, Todd
我们演示了如何使用高度并行的图形处理单元(GPU)来加快叠加/卷积(S/C)算法的交互速率，同时减少近似次数。S/C首先输送入射通量来计算单位质量网格释放的总能量。然后，通过在Terma网格中的每个点上叠加剂量沉积核并求和对周围体素的贡献来计算剂量。TERMA算法通过物理校正的多光谱衰减和新的逆公式进行了增强，从而提高了性能、精度和简单性。剂量沉积利用了倾斜的多能逆累积-累积核，以及使用体积MIP图来近似立体角度射线投射的新选项。精确的射线投射路径减少了离散化误差。与高度优化的CPU实施相比，我们实现了34倍-98倍的加速。(C)2009爱思唯尔爱尔兰有限公司。保留所有权利。
We demonstrate the use of highly parallel graphics processing units (GPUs) to accelerate the superposition/convolution (S/C) algorithm to interactive rates while reducing the number of approximations. S/C first transports the incident fluence to compute the total energy released per unit mass (TERMA) grid. Dose is then calculated by superimposing the dose deposition kernel at each point in the TERMA grid and summing the contributions to the surrounding voxels. The TERMA algorithm was enhanced with physically correct multi-spectral attenuation and a novel inverse formulation for increased performance, accuracy and simplicity. Dose deposition utilized a tilted poly-energetic inverse cumulative-cumulative kernel, with the novel option of using volumetric mip-maps to approximate solid angle ray casting. Exact radiological path ray casting decreased discretization errors. We achieved a speedup of 34x-98x over a highly optimized CPU implementation. (C) 2009 Elsevier Ireland Ltd. All rights reserved.