Improvement of accuracy of marker-free bronchoscope tracking using electromagnetic tracker based on bronchial branch information

Kensaku Mori, Daisuke Deguchi, Takayuki Kitasaka, Yasuhito Suenaga, Yosihnori Hasegawa, Kazuyoshi Imaizumi, Hirotsugu Takabatake

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

13 Citations (Scopus)

Abstract

This paper presents a study of tracking accuracy improvement of marker-free bronchoscope tracking using an electromagnetic tracking system. Bronchoscope tracking is an important function in a bronchoscope navigation system that assists a physician during bronchoscopic examination. Several research groups have presented a method for bronchoscope tracking using an ultra-tiny electromagnetic tracker (UEMT) that can be inserted into the working channel of a bronchoscope. In such a system, it is necessary to find the matrix T showing the relation between the coordinate systems of the CT image and the UEMT. This paper tries to improve the accuracy of this matrix by using not only the position information of the UEMT but also the orientation information. The proposed algorithm uses the running direction information of bronchial branches and the orientation information of the UEMT in the computation process of T. In the experiments using a bronchial phantom, the tracking accuracy was improved from 2.2 mm to 1.8 mm.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2008 - 11th International Conference, Proceedings
PublisherSpringer Verlag
Pages535-542
Number of pages8
EditionPART 2
ISBN (Print)3540859896, 9783540859895
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2008 - New York, NY, United States
Duration: 06-09-200810-09-2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume5242 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2008
Country/TerritoryUnited States
CityNew York, NY
Period06-09-0810-09-08

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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