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Characterization of Varian on-board imaging systems for use in automatic exposure control software

机译:自动曝光控制软件中使用的Varian车载成像系统的特性

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Modern image guided radiation therapy involves the use of an isocentrically mounted on-board imager (OBI) to take kV images of a patient's position. Orthogonal OBI images are used with 2D-2D match software to determine the treatment couch shifts required for ideal alignment based on digitally reconstructed radiographs created in treatment planning. The lack of an automatic exposure control (AEC) on Varian OBI systems requires x-ray techniques to be selected manually which may result in over or under exposed images and compromise the accuracy of the image matching. A software based AEC system is being developed in order to predict the optimal, patient specific exposure factors. This software requires that each OBI system be uniquely characterized in terms of both the x-ray tube output and the detector response for a clinical range of energies (kVp). Characteristic curves show that the detector is highly energy dependent at low energies and increasingly energy independent with increasing energy. The detector response (per unit exposure) was determined as a function of the beam quality and the level of detector saturation due to scattered radiation was modeled based on patient thickness, kVp, and field size. Using this model, the optimal exposure can be determined to produce the highest quality image.
机译:现代图像引导放射疗法涉及使用等中心安装的车载成像仪(OBI)来采集患者位置的kV图像。正交OBI图像与2D-2D匹配软件一起使用,可基于在治疗计划中创建的数字重建射线照片确定理想对准所需的治疗床移动。 Varian OBI系统缺少自动曝光控制(AEC),因此需要手动选择X射线技术,这可能会导致曝光的图像过多或不足,并损害了图像匹配的准确性。正在开发基于软件的AEC系统,以预测最佳的,特定于患者的暴露因素。该软件要求每个OBI系统在X射线管输出和临床能量范围(kVp)的检测器响应方面都具有独特的特征。特性曲线表明,该探测器在低能量下与能量高度相关,并且随着能量的增加而与能量无关。确定检测器响应(每单位曝光量)作为光束质量的函数,并根据患者的厚度,kVp和视野大小对由于散射辐射而导致的检测器饱和度水平进行建模。使用此模型,可以确定最佳曝光以产生最高质量的图像。

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