论文标题
质子跟踪算法在基于像素的范围望远镜的质子计算机断层扫描
Proton Tracking Algorithm in a Pixel-Based Range Telescope for Proton Computed Tomography
论文作者
论文摘要
质子计算机断层扫描（CT）是重建患者相对停止功率的原型成像方式，以更准确地计算质子治疗剂量计划中的剂量分布。重建质子CT图像所需的测量值是：i）每个初始质子向量入射在成像对象上，ii）每个质子向矢量入射在检测器的前面和iii）检测器中每个质子的停止深度。在这项研究中，轨道重建算法适用于计划的基于像素的粒子跟踪范围质子CT的望远镜，称为数字跟踪量热计（DTC）。该算法基于轨道跟踪方案，在该方案中，不断增长的轨道搜索较深的激活像素，同时最大程度地减少了累积的角变化。该算法应用于DTC的Monte Carlo模拟输出，表明DTC能够重建轨道并找到多达几百个同时发生质子轨道的深度。
Proton Computed Tomography (CT) is a prototype imaging modality for the reconstruction of the Relative Stopping Power of a patient, for more accurate calculations of the dose distributions in proton therapy dose planning. The measurements needed for the reconstruction of a proton CT image are: i) each initial proton vector incident on the imaged object, ii) each proton vector incident on the front face of the detector and iii) the stopping depth of each proton in the detector. In this study, a track reconstruction algorithm is adapted for a planned pixel-based particle-tracking range telescope for proton CT, called the Digital Tracking Calorimeter (DTC). The algorithm is based on the track-following scheme, in which a growing track searches for deeper-laying activated pixels, while minimizing the accumulated angular change. The algorithm is applied to Monte Carlo-simulated output of the DTC, showing that the DTC is able to reconstruct the tracks and find the depths of up to several hundred simultaneous proton tracks.
