Development of real-time virtual bronchoscopic navigation with image processing technology.

• Project/Area Number: 15K10282
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Respiratory surgery
• Research Institution: Tokyo Medical University
• Principal Investigator: KOICHI YOSHIDA 東京医科大学, 医学部, 客員講師 (00424490)
• Co-Investigator(Kenkyū-buntansha): 嶋田 善久 東京医科大学, 医学部, 助教 (00459497) ; 前田 純一 東京医科大学, 医学部, 講師 (50408176) ; 池田 徳彦 東京医科大学, 医学部, 教授 (70246205)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Project Status: Completed (Fiscal Year 2017)
• Budget Amount: ¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000); Fiscal Year 2017: ¥260,000 (Direct Cost: ¥200,000、Indirect Cost: ¥60,000); Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000); Fiscal Year 2015: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
• Keywords: 仮想内視鏡 / 3D画像 / リアルタイム画像支援 / 気管支鏡 / ナビゲーション / 仮想気管支鏡 / ３D画像

Outline of Final Research Achievements

The purpose of this study is to establish real-time virtual bronchoscopic navigation with image processing technology. SYNAPSE VINCENT uses unique image recognition technology to extract automatically bronchial path and other organs. We create synchronized real-time bronchoscopic navigation system by single click procedure. This technology guides bronchial path to reach a lung nodule by using each patient's CT imaging data.

Research Products

• [Presentation] より精度の高い手術プランニングと気管支ナビゲーションの新提案 (2017)
  • Author(s): 吉田 浩一
  • Organizer: 日本呼吸器外科学会総会