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A novel multilayer MV imager computational model for component optimization

机译:组件优化的新型多层MV成像计算模型

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摘要

Purpose: A novel Megavoltage (MV) multilayer imager (MLI) design featuring higher detective quantum efficiency and lower noise than current conventional MV imagers in clinical use has been recently reported. Optimization of the MLI design for multiple applications including tumor tracking, MV-CBCT and portal dosimetry requires a computational model that will provide insight into the physics processes that affect the overall and individual components' performance. The purpose of the current work was to develop and validate a comprehensive computational model that can be used for MLI optimization.
机译:目的:最近已经报道了一种新颖的巨大电压(MV)多层成像器(MLI)设计具有更高的侦探量子效率和低于当前常规MV成像仪的临床用途的较低噪音。 多种应用的MLI设计的优化,包括肿瘤跟踪,MV-CBCT和Portal Dosimetry,需要一个计算模型,可以深入了解影响整体和各个组件性能的物理过程。 目前工作的目的是开发和验证全面的计算模型,可用于MLI优化。

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