Dual-projection 3D-2D registration for surgical guidance: Preclinical evaluation of performance and minimum angular separation

A. Uneri, Y. Otake, A. S. Wang, G. Kleinszig, S. Vogt, G. L. Gallia, D. Rigamonti, J. P. Wolinsky, Ziya L. Gokaslan, A. J. Khanna, J. H. Siewerdsen

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

Abstract

An algorithm for 3D-2D registration of CT and x-ray projections has been developed using dual projection views to provide 3D localization with accuracy exceeding that of conventional tracking systems. The registration framework employs a normalized gradient information (NGI) similarity metric and covariance matrix adaptation evolution strategy (CMAES) to solve for the patient pose in 6 degrees of freedom. Registration performance was evaluated in anthropomorphic head and chest phantoms, as well as a human torso cadaver, using C-arm projection views acquired at angular separations (Δθ) ranging 0-178°. Registration accuracy was assessed in terms target registration error (TRE) and compared to that of an electromagnetic tracker. Studies evaluated the influence of C-arm magnification, x-ray dose, and preoperative CT slice thickness on registration accuracy and the minimum angular separation required to achieve TRE ~2 mm. The results indicate that Δθ as small as 10-20°is adequate to achieve TRE <2 mm with 95% confidence, comparable or superior to that of commercial trackers. The method allows direct registration of preoperative CT and planning data to intraoperative fluoroscopy, providing 3D localization free from conventional limitations associated with external fiducial markers, stereotactic frames, trackers, and manual registration. The studies support potential application to percutaneous spine procedures and intracranial neurosurgery.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2014
Subtitle of host publicationImage-Guided Procedures, Robotic Interventions, and Modeling
PublisherSPIE
ISBN (Print)9780819498298
DOIs
StatePublished - Jan 1 2014
EventMedical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling - San Diego, CA, United States
Duration: Feb 18 2014Feb 20 2014

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume9036
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling
CountryUnited States
CitySan Diego, CA
Period2/18/142/20/14

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Keywords

  • 3D-2D image registration
  • C-arm imaging
  • Image-guided surgery
  • neurosurgery
  • orthopaedic surgery

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Uneri, A., Otake, Y., Wang, A. S., Kleinszig, G., Vogt, S., Gallia, G. L., Rigamonti, D., Wolinsky, J. P., Gokaslan, Z. L., Khanna, A. J., & Siewerdsen, J. H. (2014). Dual-projection 3D-2D registration for surgical guidance: Preclinical evaluation of performance and minimum angular separation. In Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling [90362E] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 9036). SPIE. https://doi.org/10.1117/12.2043561