Real-time dose computation: GPU-accelerated source modeling and superposition/convolution

Real-time dose computation: GPU-accelerated source modeling and superposition/convolution
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DOI:
10.1118/1.3483785
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发表时间:
2011-01-01
期刊:
影响因子:
3.8
通讯作者:
McNutt, Todd
McNutt, Todd
中科院分区:
医学3区
文献类型:
--
作者:
Jacques, Robert;Wong, John;McNutt, Todd

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Purpose: To accelerate dose calculation to interactive rates using highly parallel graphics processing units (GPUs).Methods: The authors have extended their prior work in GPU-accelerated superposition/convolution with a modern dual-source model and have enhanced performance. The primary source algorithm supports both focused leaf ends and asymmetric rounded leaf ends. The extra-focal algorithm uses a discretized, isotropic area source and models multileaf collimator leaf height effects. The spectral and attenuation effects of static beam modifiers were integrated into each source's spectral function. The authors introduce the concepts of arc superposition and delta superposition. Arc superposition utilizes separate angular sampling for the total energy released per unit mass (TERMA) and superposition computations to increase accuracy and performance. Delta superposition allows single beamlet changes to be computed efficiently. The authors extended their concept of multi-resolution superposition to include kernel tilting. Multi-resolution superposition approximates solid angle ray-tracing, improving performance and scalability with a minor loss in accuracy. Superposition/convolution was implemented using the inverse cumulative-cumulative kernel and exact radiological path ray-tracing. The accuracy analyses were performed using multiple kernel ray samplings, both with and without kernel tilting and multi-resolution superposition.Results: Source model performance was