Robust automatic C-arm calibration for fluoroscopy-based navigation: A practical approach

H. Livyatan*, Z. Yaniv, L. Joskowicz

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

60 Scopus citations

Abstract

This paper presents a new on-line automatic X-ray fluoroscopic C-arm calibration method for intraoperative use. C-arm calibration is an essential prerequisite for accurate X-ray fluoroscopy-based navigation and image-based registration. Our method utilizes a customdesigned calibration ring with a two-plane pattern of fiducials that attaches to the C-arm image intensifier, and an on-line calibration algorithm. The algorithm is robust, fully automatic, and works with images containing anatomy and surgical instruments which cause fiducial occlusions. It consists of three steps: fiducial localization, distortion correction, and camera calibration. Our experimental results show submillimetric accuracy for calibration and tip localization with occluded fiducials.

Original languageAmerican English
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - 5th International Conference, MICCAI 2002, Proceedings
EditorsTakeyoshi Dohi, Ron Kikinis
PublisherSpringer Verlag
Pages60-68
Number of pages9
ISBN (Print)3540442251
DOIs
StatePublished - 2002
Event5th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2002 - Tokyo, Japan
Duration: 25 Sep 200228 Sep 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2489
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2002
Country/TerritoryJapan
CityTokyo
Period25/09/0228/09/02

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.

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