Modality-seamless navigation for endoscopic diagnosis and surgery based on multi-image integration

2016 Fiscal Year Final Research Report

• Project/Area Number: 25242047
• Research Category: Grant-in-Aid for Scientific Research (A)
• Allocation Type: Single-year Grants
• Section: 一般
• Research Field: Medical systems
• Research Institution: Nagoya University
• Principal Investigator: Mori Kensaku 名古屋大学, 情報連携統括本部, 教授 (10293664)
• Co-Investigator(Kenkyū-buntansha): 北坂 孝幸 愛知工業大学, 情報科学部, 准教授 (00362294) ; 小田 昌宏 名古屋大学, 情報科学研究科, 助教 (30554810) ; 二村 幸孝 名古屋大学, 情報連携統括本部, 研究員 (70402477) ; 三澤 一成 愛知県がんセンター(研究所), 分子腫瘍学部, 研究員 (70538438)
• Research Collaborator: Nassir Navab ミュンヘン工科大学 ; Daniel Rueckert インペリアルカレッジロンドン
• Project Period (FY): 2013-04-01 – 2017-03-31
• Keywords: コンピュータ外科学 / 医用画像処理 / 画像 / 人間医工学 / 内視鏡

Outline of Final Research Achievements

The aim of this research project is to develop technical foundation for modality-seamless navigation in endoscopic diagnosis and surgery for digestive tract and evaluation from the viewpoint of clinical view point. This research project achieved the research outcomes in the following topics; (a) foundation of concepts of modality seamless navigation, (b) precise blood vessel extraction, (c) database construction of abdominal organ shapes, (d) mathematical representation of digestive tract shape, (e ) anatomical structure extraction based on anatomical shape database, (f) elastic endoscope tracking, (g) tiny lymph node detection, (h) ultrasound image fusion in endoscopic image, and (h) modality seamless navigation.

Free Research Field

画像処理