Journal Article

DKFZ-2017-04964

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png A 3D feature point tracking method for ion radiation.

Kouwenberg, J. J. M. ; Ulrich, L.DKFZ* ; Jäkel, O.DKFZ* ; Greilich, S. (Last author)DKFZ*

2016
IOP Publ. Bristol

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Please use a persistent id in citations: doi:10.1088/0031-9155/61/11/4088

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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Contributing Institute(s):

1. Medizinische Physik in der Strahlentherapie (E040)

Research Program(s):

1. 315 - Imaging and radiooncology (POF3-315) (POF3-315)

Appears in the scientific report 2016

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Database coverage:
; BIOSIS Previews ; Current Contents - Life Sciences ; Ebsco Academic Search ; IF < 5 ; JCR ; National-Konsortium ; Nationallizenz ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection

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