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Related Concept Videos

Endoscopic Studies I: Bronchoscopy and Thoracoscopy01:30

Endoscopic Studies I: Bronchoscopy and Thoracoscopy

Endoscopy is a non-surgical medical technique used to examine a person's internal organs and vessels. This lesson will focus on two types of endoscopic studies: bronchoscopy and thoracoscopy.
Bronchoscopy
Description
Bronchoscopy is a procedure that involves direct visualization of the larynx, trachea, and bronchi for diagnostic and therapeutic purposes. A flexible fiber optic or rigid bronchoscope is used to carry out the procedure. The fiber-optic bronchoscope is more frequently used due to...

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Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
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Robust bronchoscope motion tracking using sequential Monte Carlo methods in navigated bronchoscopy: dynamic phantom

Xióngbiāo Luó1, Marco Feuerstein, Takayuki Kitasaka

  • 1Graduate School of Information Science, Nagoya University, Nagoya, Japan. xbluo@mori.m.is.nagoya-u.ac.jp

International Journal of Computer Assisted Radiology and Surgery
|July 26, 2011
PubMed
Summary

This study introduces a Sequential Monte Carlo (SMC) simulation method for bronchoscope tracking. The new approach enhances accuracy and stability in estimating camera position and orientation during bronchoscopic interventions.

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Systematic Bronchoscopy: the Four Landmarks Approach
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Systematic Bronchoscopy: the Four Landmarks Approach
04:47

Systematic Bronchoscopy: the Four Landmarks Approach

Published on: June 23, 2023

Area of Science:

  • Medical Imaging
  • Robotics
  • Computer-Aided Surgery

Background:

  • Accurate bronchoscope tracking is crucial for minimally invasive procedures.
  • Existing methods face challenges with uncertainties from video and anatomical changes.

Purpose of the Study:

  • To develop and validate a Sequential Monte Carlo (SMC) simulation method for robust bronchoscope tracking.
  • To improve the accuracy of camera position and orientation estimation during bronchoscopic interventions.

Main Methods:

  • Sequential Monte Carlo (SMC) simulation was integrated with image-based (Scale Invariant Feature Transform - SIFT) and electromagnetic tracking (EMT) methods.
  • SMC models uncertainties in tracking data.
  • Validation performed on phantom and human datasets.

Main Results:

  • EMT-SMC improved tracking by 12.7% over hybrid methods in phantoms, with 1.51 mm position and 5.44° orientation accuracy.
  • SIFT-SMC showed a 23.6% improvement in tracked frames compared to previous image-based methods in patients.
  • SIFT-SMC achieved position and orientation errors of 3.72 mm and 10.2°, respectively.

Conclusions:

  • The SMC simulation method effectively models ambiguities in bronchoscope tracking.
  • This approach enhances the stability and accuracy of camera parameter prediction.
  • Reduces uncertainties for improved intra-bronchoscopy navigation.