Paper
24 April 2002 Camera motion tracking of real bronchoscope using epipolar geometry analysis and CT-derived bronchoscopic images
Daisuke Deguchi, Kensaku Mori, Jun-ichi Hasegawa, Jun-ichiro Toriwaki, Hirotsugu Takabatake, Hiroshi Natori
Author Affiliations +
Abstract
This paper describes a method to track camera motion of a real endoscope by using epipolar geometry analysis and CT derived virtual endoscopic images. A navigation system for a flexible endoscope guides medical doctors by providing navigation information during endoscope examinations. This paper tries to estimate the motion from an endoscopic video image based on epipolar geometry analysis and image registration between virtual endoscopic (VE) and real endoscopic (RE) images. The method consists of three parts: (a) direct estimation of camera motion by using epipolar geometry analysis, (b) precise estimation by using image registration, and (c) detection of bubble frames for avoiding miss-registration. First we calculate optical flow patterns from two consecutive frames. The camera motion is computed by substituting the obtained flows into the epipolar equations. Then we find the observation parameter of a virtual endoscopy system that generates the most similar endoscopic view to the current RE frame. We execute these processes for all frames of RE videos except for frames where bubbles appear. We applied the proposed method to RE videos of three patients who have CT images. The experimental results show the method can track camera motion for over 500 frames continuously in the best case.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daisuke Deguchi, Kensaku Mori, Jun-ichi Hasegawa, Jun-ichiro Toriwaki, Hirotsugu Takabatake, and Hiroshi Natori "Camera motion tracking of real bronchoscope using epipolar geometry analysis and CT-derived bronchoscopic images", Proc. SPIE 4683, Medical Imaging 2002: Physiology and Function from Multidimensional Images, (24 April 2002); https://doi.org/10.1117/12.463591
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications and 6 patents.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Cameras

Endoscopy

Image registration

Image processing

Endoscopes

Motion estimation

Computed tomography

Back to Top