CT-video registration accuracy for virtual guidance of bronchoscopy

James P. Helferty, Eric A. Hoffman, Geoffrey McLennan, William E. Higgins

Research output: Contribution to journalConference article

11 Citations (Scopus)

Abstract

Bronchoscopic biopsy is often used for assisting the assessment of lung cancer. We have found in previous research that live image guidance of bronchoscopy has much potential for improving biopsy outcome. We have devised a system for this purpose. During a guided bronchoscopy procedure, our system simultaneously draws upon both the bronchoscope's video stream and the patient's 3D MDCT volume, The key data-processing step during guided bronchoscopy is the registration of the 3D MDCT data volume to the bronchoscopic video. The registration process is initialized by assuming that the bronchoscope is at a fixed viewpoint, giving a target reference video image, while the virtual-world camera inside the MDCT volume begins at an initial viewpoint that is within a reasonable vicinity of the bronchoscope's viewpoint. During registration, an optimization process searches for the optimal viewpoint to give the virtual image best matching the fixed video target. Overall, we have found that the CT-video registration technique operates robustly over a wide range of conditions, with considerable flexibility in the initial-viewpoint choice. Further, the system appears to be largely insensitive to the differences in lung capacity during the MDCT scan and during bronchoscopy. Finally, the system matches effectively in a wide range of anatomical circumstances.

Original languageEnglish (US)
Pages (from-to)150-164
Number of pages15
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5369
DOIs
StatePublished - Jul 5 2004
EventMedical Imaging 2004: Physiology, Function, and Structure from Medical Images - San Diego, CA, United States
Duration: Feb 15 2004Feb 17 2004

Fingerprint

Biopsy
Registration
Guidance
lungs
Image matching
Cameras
Target
Virtual Worlds
Lung Cancer
flexibility
Process Optimization
Lung
cancer
cameras
Range of data
optimization
Camera
Flexibility

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

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abstract = "Bronchoscopic biopsy is often used for assisting the assessment of lung cancer. We have found in previous research that live image guidance of bronchoscopy has much potential for improving biopsy outcome. We have devised a system for this purpose. During a guided bronchoscopy procedure, our system simultaneously draws upon both the bronchoscope's video stream and the patient's 3D MDCT volume, The key data-processing step during guided bronchoscopy is the registration of the 3D MDCT data volume to the bronchoscopic video. The registration process is initialized by assuming that the bronchoscope is at a fixed viewpoint, giving a target reference video image, while the virtual-world camera inside the MDCT volume begins at an initial viewpoint that is within a reasonable vicinity of the bronchoscope's viewpoint. During registration, an optimization process searches for the optimal viewpoint to give the virtual image best matching the fixed video target. Overall, we have found that the CT-video registration technique operates robustly over a wide range of conditions, with considerable flexibility in the initial-viewpoint choice. Further, the system appears to be largely insensitive to the differences in lung capacity during the MDCT scan and during bronchoscopy. Finally, the system matches effectively in a wide range of anatomical circumstances.",
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CT-video registration accuracy for virtual guidance of bronchoscopy. / Helferty, James P.; Hoffman, Eric A.; McLennan, Geoffrey; Higgins, William E.

In: Proceedings of SPIE - The International Society for Optical Engineering, Vol. 5369, 05.07.2004, p. 150-164.

Research output: Contribution to journalConference article

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AB - Bronchoscopic biopsy is often used for assisting the assessment of lung cancer. We have found in previous research that live image guidance of bronchoscopy has much potential for improving biopsy outcome. We have devised a system for this purpose. During a guided bronchoscopy procedure, our system simultaneously draws upon both the bronchoscope's video stream and the patient's 3D MDCT volume, The key data-processing step during guided bronchoscopy is the registration of the 3D MDCT data volume to the bronchoscopic video. The registration process is initialized by assuming that the bronchoscope is at a fixed viewpoint, giving a target reference video image, while the virtual-world camera inside the MDCT volume begins at an initial viewpoint that is within a reasonable vicinity of the bronchoscope's viewpoint. During registration, an optimization process searches for the optimal viewpoint to give the virtual image best matching the fixed video target. Overall, we have found that the CT-video registration technique operates robustly over a wide range of conditions, with considerable flexibility in the initial-viewpoint choice. Further, the system appears to be largely insensitive to the differences in lung capacity during the MDCT scan and during bronchoscopy. Finally, the system matches effectively in a wide range of anatomical circumstances.

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