Optimization of CT-video registration for image-guided bronchoscopy

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

1 Citation (Scopus)

Abstract

Global registration has been shown to be a potential reality for a bronchoscopy guidance system. Global registration involves establishing the bronchoscope position by comparing a given real bronchoscopic (RB) video view to target virtual bronchoscopic (VB) views derived from a patient's three-dimensional (3D) multi-detector computed tomography (MDCT) chest scan. Registration performance depends significantly on the quality of the computer-generated VB views and the error metric used to compare the VB and RB views. In particular, the quality of the extracted endoluminal surfaces and the lighting model used during rendering has especial importance in determining VB view quality. Registration performance is also affected by the positioning of the bronchoscope during acquisition of the RB frame and the error metric used. We present a study considering the impact of these factors on global registration performance. Results show that using a direct-lighting-based model gives slightly better results than a global illumination model. However, the VB views generated by the global illumination model more closely resemble the RB views when using the weighted normalized sum-of-square error (WNSSE) metric. Results also show that the best global registration results are obtained by using a computergenerated bronchoscope-positioning target with a WNSSE metric and a direct-lighting model. We also identify the best airway surface-extraction method for global registration.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2012
Subtitle of host publicationImage-Guided Procedures, Robotic Interventions, and Modeling
DOIs
StatePublished - May 1 2012
EventMedical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling - San Diego, CA, United States
Duration: Feb 5 2012Feb 7 2012

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume8316
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling
CountryUnited States
CitySan Diego, CA
Period2/5/122/7/12

Fingerprint

Bronchoscopy
Lighting
Bronchoscopes
optimization
illuminating
positioning
Multidetector computed tomography
illumination
chest
acquisition
Thorax
tomography
Tomography
detectors

All Science Journal Classification (ASJC) codes

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

Cite this

Khare, R., & Higgins, W. E. (2012). Optimization of CT-video registration for image-guided bronchoscopy. In Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling [831636] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 8316). https://doi.org/10.1117/12.910911
Khare, Rahul ; Higgins, William Evan. / Optimization of CT-video registration for image-guided bronchoscopy. Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling. 2012. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).
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Khare, R & Higgins, WE 2012, Optimization of CT-video registration for image-guided bronchoscopy. in Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling., 831636, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 8316, Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, CA, United States, 2/5/12. https://doi.org/10.1117/12.910911

Optimization of CT-video registration for image-guided bronchoscopy. / Khare, Rahul; Higgins, William Evan.

Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling. 2012. 831636 (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 8316).

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

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Khare R, Higgins WE. Optimization of CT-video registration for image-guided bronchoscopy. In Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling. 2012. 831636. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). https://doi.org/10.1117/12.910911