Kouwenberg Jasper J M, Ulrich Leonie, Jäkel Oliver, Greilich Steffen
Radiation, Science & Technology, Delft University of Technology, Mekelweg 15, 2629 JB Delft, Netherlands.
Phys Med Biol. 2016 Jun 7;61(11):4088-104. doi: 10.1088/0031-9155/61/11/4088. Epub 2016 May 10.
A robust and computationally efficient algorithm for automated tracking of high densities of particles travelling in (semi-) straight lines is presented. It extends the implementation of (Sbalzarini and Koumoutsakos 2005) and is intended for use in the analysis of single ion track detectors. By including information of existing tracks in the exclusion criteria and a recursive cost minimization function, the algorithm is robust to variations on the measured particle tracks. A trajectory relinking algorithm was included to resolve the crossing of tracks in high particle density images. Validation of the algorithm was performed using fluorescent nuclear track detectors (FNTD) irradiated with high- and low (heavy) ion fluences and showed less than 1% faulty trajectories in the latter.
提出了一种强大且计算高效的算法,用于自动跟踪沿(半)直线传播的高密度粒子。它扩展了(Sbalzarini和Koumoutsakos,2005年)的实现方式,旨在用于单离子径迹探测器的分析。通过在排除标准中纳入现有径迹的信息以及递归成本最小化函数,该算法对测量的粒子径迹变化具有鲁棒性。包含了一种轨迹重新链接算法,以解决高粒子密度图像中的径迹交叉问题。使用高、低(重)离子注量辐照的荧光核径迹探测器(FNTD)对该算法进行了验证,结果表明后者的错误轨迹少于1%。