Automated fiducial localization in CT images based on surface processing and geometrical prior knowledge for radiotherapy applications

Giovanni Fattori, Marco Riboldi, Maxime Desplanques, Barbara Tagaste, Andrea Pella, Roberto Orecchia, Guido Baroni

Research output: Contribution to journalArticle

Abstract

We propose a novel method for radio-opaque external marker localization in CT scans for infrared (IR) patient set-up in radiotherapy. Efforts were focused on the quantification of uncertainties in marker localization in the CT dataset as a function of algorithm performance. We implemented a 3-D approach to fiducial localization based on surface extraction and marker recognition according to geometrical prior knowledge. The algorithm parameters were optimized on a clinical CT dataset coming from 35 cranial and extra-cranial patients; the localization accuracy was benchmarked at variable image resolution versus laser tracker measurements. The applicability of conventional IR optical tracking systems for localizing external surrogates in daily patient set-up procedures was also investigated in 121 proton therapy treatment sessions. Our study shows that the implemented algorithm features surrogates localization with uncertainties lower than 0.3mm and with a true positive rate of 90.1, being this latter mainly influenced by fiducial homogeneity in the CT images. The reported clinical validation in proton therapy confirmed the submillimetric accuracy and the expected algorithm sensitivity. Geometrical prior knowledge allows judging the reliability of the extracted fiducial coordinates, ensuring the highest accuracy in patient set-up.

Original languageEnglish
Article number6198875
Pages (from-to)2191-2199
Number of pages9
JournalIEEE Transactions on Biomedical Engineering
Volume59
Issue number8
DOIs
Publication statusPublished - 2012

Keywords

  • Automated detection
  • CT scanning
  • fiducial localization
  • particle therapy
  • patient positioning
  • radiotherapy

ASJC Scopus subject areas

  • Biomedical Engineering

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