Real-time method for bronchoscope motion measurement and tracking

Duane C. Cornish, William Evan Higgins

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

4 Citations (Scopus)

Abstract

Bronchoscopy-guidance systems have been shown to improve the success rate of bronchoscopic procedures. A key technical cornerstone of bronchoscopy- guidance systems is the synchronization between the virtual world, derived from a patient's three-dimensional (3D) multidetector computed-tomography (MDCT) scan, and the real world, derived from the bronchoscope video during a live procedure. Two main approaches for synchronizing these worlds exist: electromagnetic navigation bronchoscopy (ENB) and image-based bronchoscopy. ENB systems require considerable extra hardware, and both approaches have drawbacks that hinder continuous robust guidance. In addition, they both require an attending technician to be present. We propose a technician-free strategy that enables real-time guidance of bronchoscopy. The approach uses measurements of the bronchoscope's movement to predict its position in 3D virtual space. To achieve this, a bronchoscope model, defining the device's shape in the airway tree to a given point p, provides an insertion depth to p. In real time, our strategy compares an observed bronchoscope insertion depth and roll angle, measured by an optical sensor, to precalculated insertion depths along a predefined route in the virtual airway tree. This leads to a prediction of the bronchoscope's location and orientation. To test the method, experiments involving a PVC-pipe phantom and a human airway-tree phantom verified the bronchoscope models and the entire method, respectively. The method has considerable potential for improving guidance robustness and simplicity over other bronchoscopy-guidance systems.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2011
Subtitle of host publicationVisualization, Image-Guided Procedures, and Modeling
DOIs
StatePublished - May 16 2011
EventMedical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling - Lake Buena Vista, FL, United States
Duration: Feb 13 2011Feb 15 2011

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7964
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling
CountryUnited States
CityLake Buena Vista, FL
Period2/13/112/15/11

Fingerprint

Bronchoscopes
Bronchoscopy
Multidetector computed tomography
insertion
Optical sensors
Navigation systems
navigation
Polyvinyl Chloride
Electromagnetic Phenomena
Polyvinyl chlorides
Synchronization
Navigation
Pipe
electromagnetism
Hardware
optical measuring instruments
Multidetector Computed Tomography
synchronism
hardware
tomography

All Science Journal Classification (ASJC) codes

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

Cite this

Cornish, D. C., & Higgins, W. E. (2011). Real-time method for bronchoscope motion measurement and tracking. In Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling [79640M] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 7964). https://doi.org/10.1117/12.873086
Cornish, Duane C. ; Higgins, William Evan. / Real-time method for bronchoscope motion measurement and tracking. Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling. 2011. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).
@inproceedings{646f0b4386d84345a537065be2b2be4b,
title = "Real-time method for bronchoscope motion measurement and tracking",
abstract = "Bronchoscopy-guidance systems have been shown to improve the success rate of bronchoscopic procedures. A key technical cornerstone of bronchoscopy- guidance systems is the synchronization between the virtual world, derived from a patient's three-dimensional (3D) multidetector computed-tomography (MDCT) scan, and the real world, derived from the bronchoscope video during a live procedure. Two main approaches for synchronizing these worlds exist: electromagnetic navigation bronchoscopy (ENB) and image-based bronchoscopy. ENB systems require considerable extra hardware, and both approaches have drawbacks that hinder continuous robust guidance. In addition, they both require an attending technician to be present. We propose a technician-free strategy that enables real-time guidance of bronchoscopy. The approach uses measurements of the bronchoscope's movement to predict its position in 3D virtual space. To achieve this, a bronchoscope model, defining the device's shape in the airway tree to a given point p, provides an insertion depth to p. In real time, our strategy compares an observed bronchoscope insertion depth and roll angle, measured by an optical sensor, to precalculated insertion depths along a predefined route in the virtual airway tree. This leads to a prediction of the bronchoscope's location and orientation. To test the method, experiments involving a PVC-pipe phantom and a human airway-tree phantom verified the bronchoscope models and the entire method, respectively. The method has considerable potential for improving guidance robustness and simplicity over other bronchoscopy-guidance systems.",
author = "Cornish, {Duane C.} and Higgins, {William Evan}",
year = "2011",
month = "5",
day = "16",
doi = "10.1117/12.873086",
language = "English (US)",
isbn = "9780819485069",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
booktitle = "Medical Imaging 2011",

}

Cornish, DC & Higgins, WE 2011, Real-time method for bronchoscope motion measurement and tracking. in Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling., 79640M, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 7964, Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling, Lake Buena Vista, FL, United States, 2/13/11. https://doi.org/10.1117/12.873086

Real-time method for bronchoscope motion measurement and tracking. / Cornish, Duane C.; Higgins, William Evan.

Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling. 2011. 79640M (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 7964).

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

TY - GEN

T1 - Real-time method for bronchoscope motion measurement and tracking

AU - Cornish, Duane C.

AU - Higgins, William Evan

PY - 2011/5/16

Y1 - 2011/5/16

N2 - Bronchoscopy-guidance systems have been shown to improve the success rate of bronchoscopic procedures. A key technical cornerstone of bronchoscopy- guidance systems is the synchronization between the virtual world, derived from a patient's three-dimensional (3D) multidetector computed-tomography (MDCT) scan, and the real world, derived from the bronchoscope video during a live procedure. Two main approaches for synchronizing these worlds exist: electromagnetic navigation bronchoscopy (ENB) and image-based bronchoscopy. ENB systems require considerable extra hardware, and both approaches have drawbacks that hinder continuous robust guidance. In addition, they both require an attending technician to be present. We propose a technician-free strategy that enables real-time guidance of bronchoscopy. The approach uses measurements of the bronchoscope's movement to predict its position in 3D virtual space. To achieve this, a bronchoscope model, defining the device's shape in the airway tree to a given point p, provides an insertion depth to p. In real time, our strategy compares an observed bronchoscope insertion depth and roll angle, measured by an optical sensor, to precalculated insertion depths along a predefined route in the virtual airway tree. This leads to a prediction of the bronchoscope's location and orientation. To test the method, experiments involving a PVC-pipe phantom and a human airway-tree phantom verified the bronchoscope models and the entire method, respectively. The method has considerable potential for improving guidance robustness and simplicity over other bronchoscopy-guidance systems.

AB - Bronchoscopy-guidance systems have been shown to improve the success rate of bronchoscopic procedures. A key technical cornerstone of bronchoscopy- guidance systems is the synchronization between the virtual world, derived from a patient's three-dimensional (3D) multidetector computed-tomography (MDCT) scan, and the real world, derived from the bronchoscope video during a live procedure. Two main approaches for synchronizing these worlds exist: electromagnetic navigation bronchoscopy (ENB) and image-based bronchoscopy. ENB systems require considerable extra hardware, and both approaches have drawbacks that hinder continuous robust guidance. In addition, they both require an attending technician to be present. We propose a technician-free strategy that enables real-time guidance of bronchoscopy. The approach uses measurements of the bronchoscope's movement to predict its position in 3D virtual space. To achieve this, a bronchoscope model, defining the device's shape in the airway tree to a given point p, provides an insertion depth to p. In real time, our strategy compares an observed bronchoscope insertion depth and roll angle, measured by an optical sensor, to precalculated insertion depths along a predefined route in the virtual airway tree. This leads to a prediction of the bronchoscope's location and orientation. To test the method, experiments involving a PVC-pipe phantom and a human airway-tree phantom verified the bronchoscope models and the entire method, respectively. The method has considerable potential for improving guidance robustness and simplicity over other bronchoscopy-guidance systems.

UR - http://www.scopus.com/inward/record.url?scp=79955824851&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79955824851&partnerID=8YFLogxK

U2 - 10.1117/12.873086

DO - 10.1117/12.873086

M3 - Conference contribution

AN - SCOPUS:79955824851

SN - 9780819485069

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Medical Imaging 2011

ER -

Cornish DC, Higgins WE. Real-time method for bronchoscope motion measurement and tracking. In Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling. 2011. 79640M. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). https://doi.org/10.1117/12.873086