Endoscopic navigation system with extended field of view using augmented reality technology

Jae Hwan Bong, Hyun jong Song, Yoojin Oh, Namji Park, Hyungmin Kim, Shin Suk Park

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Background: While endoscopic skull base surgery (ESBS) has emerged as an alternative surgical option, the limited field of view of the endoscope may lead to the surgeon's fatigue and discomfort. Methods: The developed navigation system includes extended augmented reality (AR), which can provide an extended viewport to a conventional endoscopic view by overlaying 3D anatomical models generated from preoperative medical images onto endoscope images. To enhance the accuracy of the developed system, we adopted state-of-the-art endoscopic calibration and tracking techniques based on an optical tracking system. Results: The mean spatial errors of AR was ~1 mm, which falls in the acceptable range of accuracy for ESBS. For the simulated surgical tasks with the developed system, the number and duration of error events were decreased. Conclusions: The results show that the human subject can perform the task more precisely and safely with the developed AR-based navigation system than with the conventional endoscopic system.

Original languageEnglish
JournalInternational Journal of Medical Robotics and Computer Assisted Surgery
DOIs
Publication statusAccepted/In press - 2017 Jan 1

Fingerprint

Endoscopes
Augmented reality
Skull Base
Navigation systems
Endoscopy
Technology
Anatomic Models
Optical Devices
Surgery
Calibration
Fatigue
Fatigue of materials
Surgeons

Keywords

  • Augmented reality
  • Endoscopic skull base surgery
  • Image-guided surgery
  • Surgical navigation system

ASJC Scopus subject areas

  • Surgery
  • Biophysics
  • Computer Science Applications

Cite this

Endoscopic navigation system with extended field of view using augmented reality technology. / Bong, Jae Hwan; Song, Hyun jong; Oh, Yoojin; Park, Namji; Kim, Hyungmin; Park, Shin Suk.

In: International Journal of Medical Robotics and Computer Assisted Surgery, 01.01.2017.

Research output: Contribution to journalArticle

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