Literature DB >> 16686002

Hybrid bronchoscope tracking using a magnetic tracking sensor and image registration.

Kensaku Mori1, Daisuke Deguchi, Kenta Akiyama, Takayuki Kitasaka, Calvin R Maurer, Yasuhito Suenaga, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori.   

Abstract

In this paper, we propose a hybrid method for tracking a bronchoscope that uses a combination of magnetic sensor tracking and image registration. The position of a magnetic sensor placed in the working channel of the bronchoscope is provided by a magnetic tracking system. Because of respiratory motion, the magnetic sensor provides only the approximate position and orientation of the bronchoscope in the coordinate system of a CT image acquired before the examination. The sensor position and orientation is used as the starting point for an intensity-based registration between real bronchoscopic video images and virtual bronchoscopic images generated from the CT image. The output transformation of the image registration process is the position and orientation of the bronchoscope in the CT image. We tested the proposed method using a bronchial phantom model. Virtual breathing motion was generated to simulate respiratory motion. The proposed hybrid method successfully tracked the bronchoscope at a rate of approximately 1 Hz.

Mesh:

Year:  2005        PMID: 16686002     DOI: 10.1007/11566489_67

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  9 in total

1.  Robust colonoscope tracking method for colon deformations utilizing coarse-to-fine correspondence findings.

Authors:  Masahiro Oda; Hiroaki Kondo; Takayuki Kitasaka; Kazuhiro Furukawa; Ryoji Miyahara; Yoshiki Hirooka; Hidemi Goto; Nassir Navab; Kensaku Mori
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-07-18       Impact factor: 2.924

2.  Electromagnetic tracking in the clinical environment.

Authors:  Ziv Yaniv; Emmanuel Wilson; David Lindisch; Kevin Cleary
Journal:  Med Phys       Date:  2009-03       Impact factor: 4.071

3.  A robust method to track colonoscopy videos with non-informative images.

Authors:  Jianfei Liu; Kalpathi R Subramanian; Terry S Yoo
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-02-03       Impact factor: 2.924

4.  Hybrid electromagnetic and image-based tracking of endoscopes with guaranteed smooth output.

Authors:  Tobias Reichl; Xiongbiao Luo; Manuela Menzel; Hubert Hautmann; Kensaku Mori; Nassir Navab
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-03-31       Impact factor: 2.924

5.  Pre-clinical validation of virtual bronchoscopy using 3D Slicer.

Authors:  Pietro Nardelli; Alexander Jaeger; Conor O'Shea; Kashif A Khan; Marcus P Kennedy; Pádraig Cantillon-Murphy
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-06-21       Impact factor: 2.924

6.  Surgical and Interventional Robotics: Part III: Surgical Assistance Systems.

Authors:  Gregory D Hager; Allison M Okamura; Peter Kazanzides; Louis L Whitcomb; Gabor Fichtinger; Russell H Taylor
Journal:  IEEE Robot Autom Mag       Date:  2008-12-01       Impact factor: 5.143

7.  Robust bronchoscope motion tracking using sequential Monte Carlo methods in navigated bronchoscopy: dynamic phantom and patient validation.

Authors:  Xióngbiāo Luó; Marco Feuerstein; Takayuki Kitasaka; Kensaku Mori
Journal:  Int J Comput Assist Radiol Surg       Date:  2011-07-23       Impact factor: 2.924

8.  3D CT-video fusion for image-guided bronchoscopy.

Authors:  William E Higgins; James P Helferty; Kongkuo Lu; Scott A Merritt; Lav Rai; Kun-Chang Yu
Journal:  Comput Med Imaging Graph       Date:  2007-12-21       Impact factor: 4.790

9.  Is Multi-model Feature Matching Better for Endoscopic Motion Estimation?

Authors:  Xiang Xiang; Daniel Mirota; Austin Reiter; Gregory D Hager
Journal:  Comput Assist Robot Endosc (2014)       Date:  2014-01-01
  9 in total

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