A 3D feature point tracking method for ion radiation

Journal Article (2016)
Author(s)

Jasper J M Kouwenberg (TU Delft - RST/Applied Radiation & Isotopes)

Leonie Ulrich (National Center for Radiation Research in Oncology)

Oliver Jäkel (Heidelberg Ion-Beam Therapy Center, National Center for Radiation Research in Oncology)

Steffen Greilich (National Center for Radiation Research in Oncology)

Research Group
RST/Applied Radiation & Isotopes
Copyright
© 2016 J.J.M. Kouwenberg, Leonie Ulrich, Oliver Jäkel, Steffen Greilich
DOI related publication
https://doi.org/10.1088/0031-9155/61/11/4088
More Info
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Publication Year
2016
Language
English
Copyright
© 2016 J.J.M. Kouwenberg, Leonie Ulrich, Oliver Jäkel, Steffen Greilich
Research Group
RST/Applied Radiation & Isotopes
Issue number
11
Volume number
61
Pages (from-to)
4088-4104
Reuse Rights

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Abstract

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.

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