A real-time navigation system for laparoscopic surgery based on three-dimensional ultrasound using magneto-optic hybrid tracking configuration

  • Kozo Konishi
  • Masahiko Nakamoto
  • Yoshihiro Kakeji
  • Kazuo Tanoue
  • Hirofumi Kawanaka
  • Shohei Yamaguchi
  • Satoshi Ieiri
  • Yoshinobu Sato
  • Yoshihiko Maehara
  • Shinichi Tamura
  • Makoto Hashizume
Original Article

Abstract

Objectives In laparoscopic liver surgery, intraoperative navigation is strongly recommended. We developed a navigation system based on intraoperative ultrasound (IOUS). The purpose of this study was to evaluate the usefulness and accuracy of this system using an animate model.

Materials and methods Augmented reality (AR) visualization superimposing three-dimensional ultrasound (3D-US) images onto captured laparoscopic live images was constructed. We employed magneto-optic hybrid tracking configuration and a rapid method of magnetic distortion correction. Twelve pigs and liver tumor mimics were used, and effects of magnetic distortion correction and accuracy of 3D-US navigation were evaluated.

Results Using magnetic distortion correction, tracking error was significantly reduced. Each ultrasound scanning time was within 30 s, and the time to generate 3D-US images was within 3 min. All tumor mimics were successfully puncture-guided with navigation. Registration accuracy was significantly improved from 17.2 ± 5.27 to 1.96 ± 0.87 mm.

Conclusion We developed an AR navigation system based on IOUS. Experimental results showed that the proposed method was effective, and could be used in clinical settings. 3D-US, as an imaging modality allows real-time imaging regardless of organ shifts or distortion.

Keywords

Augmented reality (AR) Navigation 3D-US Laparoscopic surgery Image-guided surgery (IGS) 

Abbreviations

IOUS

intraoperative ultrasound

AR

augmented reality

3D-US

three-dimensional ultrasound

DOF

degrees of freedom

ROI

region of interest

CT

computed tomography

RMS

root mean square

IGS

image-guided surgery

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Copyright information

© CARS 2007

Authors and Affiliations

  • Kozo Konishi
    • 1
    • 2
  • Masahiko Nakamoto
    • 5
  • Yoshihiro Kakeji
    • 2
  • Kazuo Tanoue
    • 4
  • Hirofumi Kawanaka
    • 2
  • Shohei Yamaguchi
    • 2
    • 3
  • Satoshi Ieiri
    • 3
  • Yoshinobu Sato
    • 5
  • Yoshihiko Maehara
    • 2
  • Shinichi Tamura
    • 5
  • Makoto Hashizume
    • 3
    • 4
    • 6
  1. 1.Department of Innovative Medical TechnologyKyushu UniversityFukuokaJapan
  2. 2.Department of Surgery and Science, Graduate School of Medical SciencesKyushu UniversityFukuokaJapan
  3. 3.Department of Disaster and Emergency Medicine, Graduate School of Medical SciencesKyushu UniversityFukuokaJapan
  4. 4.Center for Integration of Advanced Medicine, Life Science and Innovative TechnologyKyushu UniversityFukuokaJapan
  5. 5.Division of Interdisciplinary Image AnalysisOsaka University Graduate School of MedicineOsakaJapan
  6. 6.FukuokaJapan

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