Rendering-based video-CT registration with physical constraints for image-guided endoscopic sinus surgery

Y. Otake, S. Leonard, A. Reiter, P. Rajan, Jeff Siewerdsen, Masaru Ishii, Russell H Taylor, Gregory Hager

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

Abstract

We present a system for registering the coordinate frame of an endoscope to pre- or intra-operatively acquired CT data based on optimizing the similarity metric between an endoscopic image and an image predicted via rendering of CT. Our method is robust and semi-automatic because it takes account of physical constraints, specifically, collisions between the endoscope and the anatomy, to initialize and constrain the search. The proposed optimization method is based on a stochastic optimization algorithm that evaluates a large number of similarity metric functions in parallel on a graphics processing unit. Images from a cadaver and a patient were used for evaluation. The registration error was 0.83 mm and 1.97 mm for cadaver and patient images respectively. The average registration time for 60 trials was 4.4 seconds. The patient study demonstrated robustness of the proposed algorithm against a moderate anatomical deformation.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling
PublisherSPIE
Volume9415
ISBN (Print)9781628415056
DOIs
StatePublished - 2015
EventMedical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling - Orlando, United States
Duration: Feb 22 2015Feb 24 2015

Other

OtherMedical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling
CountryUnited States
CityOrlando
Period2/22/152/24/15

Fingerprint

sinuses
Endoscopy
surgery
Surgery
Endoscopes
Cadaver
endoscopes
optimization
anatomy
Anatomy
collisions
evaluation
Graphics processing unit

Keywords

  • Endoscopic sinus surgery
  • Image-guided endoscopic surgery
  • Rendering-based video-CT registration

ASJC Scopus subject areas

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

Cite this

Otake, Y., Leonard, S., Reiter, A., Rajan, P., Siewerdsen, J., Ishii, M., ... Hager, G. (2015). Rendering-based video-CT registration with physical constraints for image-guided endoscopic sinus surgery. In Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling (Vol. 9415). [94150A] SPIE. https://doi.org/10.1117/12.2081732

Rendering-based video-CT registration with physical constraints for image-guided endoscopic sinus surgery. / Otake, Y.; Leonard, S.; Reiter, A.; Rajan, P.; Siewerdsen, Jeff; Ishii, Masaru; Taylor, Russell H; Hager, Gregory.

Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling. Vol. 9415 SPIE, 2015. 94150A.

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

Otake, Y, Leonard, S, Reiter, A, Rajan, P, Siewerdsen, J, Ishii, M, Taylor, RH & Hager, G 2015, Rendering-based video-CT registration with physical constraints for image-guided endoscopic sinus surgery. in Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling. vol. 9415, 94150A, SPIE, Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling, Orlando, United States, 2/22/15. https://doi.org/10.1117/12.2081732
Otake Y, Leonard S, Reiter A, Rajan P, Siewerdsen J, Ishii M et al. Rendering-based video-CT registration with physical constraints for image-guided endoscopic sinus surgery. In Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling. Vol. 9415. SPIE. 2015. 94150A https://doi.org/10.1117/12.2081732
Otake, Y. ; Leonard, S. ; Reiter, A. ; Rajan, P. ; Siewerdsen, Jeff ; Ishii, Masaru ; Taylor, Russell H ; Hager, Gregory. / Rendering-based video-CT registration with physical constraints for image-guided endoscopic sinus surgery. Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling. Vol. 9415 SPIE, 2015.
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