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

机译:用于自动曝光控制软件的Varian板载成像系统的特征

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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:现代图像引导放射治疗涉及使用isocentrically安装在电路板成像仪(OBI)的取患者的位置的千伏图像。正交OBI图像与2D-2D匹配软件用于确定基于在治疗计划中创建数字重建射线照片理想对准所需的治疗床移动。缺乏关于瓦里安OBI系统的自动曝光控制(AEC)的需要的x射线技术,以手动选择这可能导致过度或不足曝光的图像和损害图像匹配的精度。基于软件AEC系统是为了预测最佳,病人的具体暴露因素正在开发中。该软件要求每个OBI系统唯一地特征在于在X射线管输出和用于临床的能量范围(kVp的)检测器响应两个方面。特性曲线表明,该检测器是高度能量依赖性在低能量和能源独立随着能源日益。 (每单位暴露)的检测器响应被确定为光束质量和检测器饱和度的电平的函数,由于基于患者的厚度,的kVp,和字段大小的散射辐射进行建模。利用该模型,以获得最佳曝光可确定生产最高质量的图像。

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