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Extended Field of View in Gamma Camera, Using New Approach for Position Calculation

机译:在伽玛相机中的扩展视野,使用新方法进行位置计算

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The common Gamma camera, based on photomultiplier tubes (PMTs), utilizes the Anger algorithm to calculate the event positions. The Anger algorithm enables detection of events in a field of view (FOV) bounded by the center of the external PMTs. Events beyond this FOV cannot be distinguished. In common cameras, where 76mm diameter PMTs are used, a loss of over 76 mm in the FOV in each dimension occurs. In this work we present a new algorithm for event position calculation. This algorithm calculates a cost function based on the estimated PMTs distances from an event. The coordinates that minimize this cost function are chosen as the event position. In the current work we perform simulation and use the proposed algorithm to calculate the event positions. The results demonstrate that the FOV can be extended by 20-40mm in each dimension (depending on the detector design), using the proposed position calculation. Alternatively to increasing the FOV, the current algorithm enables usages of less PMTs while maintaining similar FOV, achieved with the Anger algorithm. The usage of the suggested algorithm results in smaller margins. Thus enabling better proximity to the patient that may improve the image quality.
机译:基于光电倍增管(PMTS)的公共伽马摄像机利用愤怒算法来计算事件位置。愤怒算法能够检测由外部PMT的中心界定的视野(FOV)中的事件检测。超出此FOV的事件无法区分。在公共相机中,在使用76mm直径的PMT的情况下,发生每个维度在每个维度中的FOV中超过76mm的损耗。在这项工作中,我们呈现了一种用于事件位置计算的新算法。该算法基于来自事件的估计PMTS距离计算成本函数。选择最小化该成本函数的坐标作为事件位置。在当前工作中,我们执行模拟并使用所提出的算法来计算事件位置。结果表明,使用所提出的位置计算,FOV可以在每个维度(取决于检测器设计)中延伸20-40mm。或者,为了增加FOV,当前算法使得在保持类似的FOV的同时使得使用较少的PMT,以愤怒算法实现。建议算法的使用导致较小的边距。因此,能够更好地接近患者可以改善图像质量。

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