Visualization of Affected Lesion in Arthroscopic Surgery Using Augmented Reality Navigation System

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  • Uemura Munenori
    Department of Advanced Medical Initiatives, Kyushu University
  • Tashiro Yasutaka
    Department of Advanced Medicine and Innovative Technology, Kyushu University Hospital Department of Orthopaedic Surgery, Kyushu University
  • Jaesung Hong
    Innovation Center for Medical Redox Navigation, Kyushu University
  • Konishi Kozo
    Department of Advanced Medical Initiatives, Kyushu University
  • Tomikawa Morimasa
    Department of Advanced Medicine and Innovative Technology, Kyushu University Hospital
  • Matsuda Shuichi
    Department of Orthopaedic Surgery, Kyushu University
  • Okazaki Ken
    Department of Orthopaedic Surgery, Kyushu University
  • Iwamoto Yukihide
    Department of Orthopaedic Surgery, Kyushu University
  • Hashizume Makoto
    Department of Advanced Medical Initiatives, Kyushu University Department of Advanced Medicine and Innovative Technology, Kyushu University Hospital

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  • 関節鏡手術におけるAugmented Reality技術を用いた病変可視化のためのシステム構築
  • カンセツキョウ シュジュツ ニ オケル Augmented Reality ギジュツ オ モチイタ ビョウヘン カシカ ノ タメ ノ システム コウチク

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Abstract

Introduction: Augmented reality is an innovative technology which superimposes virtual reality images onto a real world. It can visualize an affected lesion hidden by normal structures. We’ve introduced this computer-aided technique into the arthroscopic surgery. The purpose of this study is to examine the usefulness of the augmented reality navigation system in the arthroscopic surgery. Materials & Methods: The navigation system for arthroscopic surgery was built with new designed arthroscopy for navigation and modified point to point registration using the customized reference stay with optical markers. We designed 10 models of osteochondritis dissecans (OCD) knees with Sawbones®. 3D OCD knee models were made from CT knee data set using the 3-D reconstruction algorithm. CT was performed with skin fiducial markers. Registration was performed using skin markers and Poraris® optical tracking system. The accuracy of registration and that of image overlay using new devices were evaluated. Results: The accuracy of registration by using the new devices was mean 0.94±0.74 mm. The overlay accuracy was mean 3.51±2.64 mm on 2D monitor and 5.76±3.91 mm on 3D space. Conclusion: Augmented Reality would be a useful help for arthroscopic surgery not only in the treatment of OCD lesion but also in the treatment of ACL injury, the visualization of tumor site and important vessels.

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