Kroon J N
Philips Medical Systems, P.O. Box 10.000, 5680 DA Best, The Netherlands.
Radiat Prot Dosimetry. 2005;114(1-3):341-9. doi: 10.1093/rpd/nch576.
We have developed a full-scale simulation model as a tool for X-ray system design, image quality optimisation and patient dose reduction. The model supports the (de-)composition of system level requirements and takes inherent care of the prerequisite mutual coherence between component requirements. Furthermore, the model is equipped with several types of automatic X-ray control loop simulations. All relevant patient dose and image quality items are calculated, such as contrast, sharpness, lag and noise and finally combined in 'IQ figures of merit'. The short calculation times realised enable comprehensive multi-parameter optimisation studies. Initially, the IQ model dealt with the performance of 'flat' projection X-ray systems referred to as two-dimensional (2D). Nowadays, 2D X-ray systems are increasingly used for three-dimensional rotational X-ray imaging (3D-RX). An additional 3D-RX module, dealing with patient dose as well as image quality, will simplify and accelerate specific 3D-RX optimisations concerning, e.g. exposure factors, dose control concepts and image processing algorithms.
我们已经开发了一个全尺寸模拟模型，作为X射线系统设计、图像质量优化和患者剂量降低的工具。该模型支持系统级需求的（分解），并会自动考虑组件需求之间相互连贯的前提条件。此外，该模型配备了几种类型的自动X射线控制回路模拟。计算所有相关的患者剂量和图像质量指标，如对比度、清晰度、滞后和噪声，最后将它们组合成“图像质量品质因数”。所实现的短计算时间使得能够进行全面的多参数优化研究。最初，图像质量模型处理的是被称为二维（2D）的“平板”投影X射线系统的性能。如今，2D X射线系统越来越多地用于三维旋转X射线成像（3D-RX）。一个额外的3D-RX模块，处理患者剂量以及图像质量，将简化并加速特定的3D-RX优化，例如曝光因素、剂量控制概念和图像处理算法。
