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首页> 外文期刊>Physics in medicine and biology. >Fluence-convolution broad-beam (FCBB) dose calculation.
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Fluence-convolution broad-beam (FCBB) dose calculation.

机译：通量卷积宽光束（FCBB）剂量计算。

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摘要

IMRT optimization requires a fast yet relatively accurate algorithm to calculate the iteration dose with small memory demand. In this paper, we present a dose calculation algorithm that approaches these goals. By decomposing the infinitesimal pencil beam (IPB) kernel into the central axis (CAX) component and lateral spread function (LSF) and taking the beam's eye view (BEV), we established a non-voxel and non-beamlet-based dose calculation formula. Both LSF and CAX are determined by a commissioning procedure using the collapsed-cone convolution/superposition (CCCS) method as the standard dose engine. The proposed dose calculation involves a 2D convolution of a fluence map with LSF followed by ray tracing based on the CAX lookup table with radiological distance and divergence correction, resulting in complexity of O(N(3)) both spatially and temporally. This simple algorithm is orders of magnitude faster than the CCCS method. Without pre-calculation of beamlets, its implementation is also orders of magnitude smaller than the conventional voxel-based beamlet-superposition (VBS) approach. We compared the presented algorithm with the CCCS method using simulated and clinical cases. The agreement was generally within 3% for a homogeneous phantom and 5% for heterogeneous and clinical cases. Combined with the 'adaptive full dose correction', the algorithm is well suitable for calculating the iteration dose during IMRT optimization.
机译：IMRT优化需要一种快速但相对准确的算法来以较小的内存需求来计算迭代剂量。在本文中，我们提出了一种可以实现这些目标的剂量计算算法。通过将无穷小铅笔束（IPB）内核分解为中心轴（CAX）分量和横向扩展函数（LSF）并采用束的视线（BEV），我们建立了基于非体素和基于非贝姆雷特的剂量计算公式。 LSF和CAX都是通过调试过程使用折叠锥卷积/叠加（CCCS）方法作为标准剂量引擎确定的。拟议的剂量计算涉及具有LSF的注量图的二维卷积，然后基于具有放射距离和发散校正的CAX查找表进行射线追踪，从而导致在空间和时间上都具有O（N（3））的复杂性。这个简单的算法比CCCS方法快几个数量级。如果不预先计算子束，其实现也比常规的基于体素的子束叠加（VBS）方法小几个数量级。我们使用模拟案例和临床案例将提出的算法与CCCS方法进行了比较。对于同质体模，该协议通常在3％以内，对于异质和临床病例，该协议在5％之内。结合“自适应全剂量校正”，该算法非常适合在IMRT优化过程中计算迭代剂量。

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