An iterative framework for improving the accuracy of intraoperative intensity-based 2D/3D registration for image-guided orthopedic surgery

Yoshito Otake, Mehran Armand, Ofri Sadowsky, Robert S. Armiger, Peter Kazanzides, Russell H. Taylor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose an iterative refinement framework that improves the accuracy of intraoperative intensity-based 2D/3D registration. The method optimizes both the extrinsic camera parameters and the object pose. The algorithm estimates the transformation between the fiducials and the patient intraoperatively using a small number of X-ray images. The proposed algorithm was validated in an experiment using a cadaveric phantom, in which the true registration was acquired from CT data. The results of 50 registration trials with randomized initial conditions on a pair of X-ray C-arm images taken at 32° angular separation showed that the iterative refinement process improved the translational error by 0.32 mm and the rotational error by 0.61 degrees when compared to the 2D/3D registration without iteration. This tool has the potential to allow routine use of image guided therapy by computing registration parameters using only two X-ray images.

Original languageEnglish (US)
Title of host publicationInformation Processing in Computer-Assisted Interventions - First International Conference, IPCAI 2010, Proceedings
Pages23-33
Number of pages11
DOIs
StatePublished - Dec 1 2010
Event1st International Conference on Information Processing in Computer-Assisted Interventions, IPCAI 2010 - Geneva, Switzerland
Duration: Jun 23 2010Jun 23 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6135 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Conference on Information Processing in Computer-Assisted Interventions, IPCAI 2010
CountrySwitzerland
CityGeneva
Period6/23/106/23/10

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Keywords

  • Image-guided therapy
  • Intensity-based 2D/3D registration

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Otake, Y., Armand, M., Sadowsky, O., Armiger, R. S., Kazanzides, P., & Taylor, R. H. (2010). An iterative framework for improving the accuracy of intraoperative intensity-based 2D/3D registration for image-guided orthopedic surgery. In Information Processing in Computer-Assisted Interventions - First International Conference, IPCAI 2010, Proceedings (pp. 23-33). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6135 LNCS). https://doi.org/10.1007/978-3-642-13711-2_3