Brachytherapy seed localization from fluoroscopic images using a statistical classifier

Yi Su, Brian J. Davis, Michael G. Herman, Wayne N. LaJoie, Richard A. Robb

Research output: Contribution to journalConference articlepeer-review

5 Scopus citations


A method to determine the number and location of seed images in clusters on a fluoroscopic image was developed based on a statistical analysis of cluster size in simulated fluoroscopic images. A modified 3-film technique was used to reconstruct the 3D positions of seeds from their image locations. Preliminary results suggest that this new method can identify all the seeds and localize them to an average precision of 0.55 mm. This is an important step toward intraoperative radiation dose analysis.

Original languageEnglish (US)
Pages (from-to)945-946
Number of pages2
JournalLecture Notes in Computer Science
Issue numberPART 2
StatePublished - 2003
EventMedical Image Computing and Computer-Assisted Intervention, MICCAI 2003 - 6th International Conference Proceedings - Montreal, Que., Canada
Duration: Nov 15 2003Nov 18 2003

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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