3D Image Registration and Its Application to Open-MR Scanner Based Liver Cancer Surgery(一般セッション(3),人の検出・計測・認識)

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概要

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• A semi-automatic non-rigid registration technique is successfully applied to assist and improve the open configuration magnetic resonance (Open-MR) imaging guided liver cancer surgery in which cancer tissues are coagulated by microwave ablation. Since the Open-MR volumes are obtained in a lower magnetic field (0.5T) and various different surgical conditions, sometimes tumors can not be visualized clearly on them. Combining of CT volumes acquired before surgery, it is possible to identify the tumor's location by application of registration techniques. Since such a registration problem belongs to a non-rigid one considering the easy deformation of livers, free-form deformation (FFD) based registration method is applied. Similarity measurement in registration is normalized mutual information (NMI). In this paper, we use the Parzen-window method based on two 3^<rd> order B-spline kernels to calculate NMI. Additionally, we firstly derive the explicit expression of 1st order derivatives of NMI. Registration accuracy is evaluated by both objective and subjective evaluated methods. Experiments show that the registration is accurate enough (ap1.45mm) for liver cancer surgery given some proper processing steps.

• 社団法人電子情報通信学会の論文
• 2006-05-19

著者

• Chen Yen-Wei

  College of Information and Science, Ristumeikan University

• Chen Yen

  College Of Information Science And Engineering Ritsumeikan University

• Morikawa Shigehiro

  Biomedical MR Science Center, Shiga University of Medical Science

• Kurumi Yoshimasa

  Department of Surgery, Shiga University of Medical Science

• Chen Y‐w

  College Of Information Science And Engineering Ritsumeikan University

• Morikawa Shigehiro

  滋賀医科大学 外科

• Morikawa Shigehiro

  Biomedical Mr Science Center Shiga University Of Medical Science

• Kurumi Yoshimasa

  Department Of Surgery Shiga University Of Medical Science

• Xu Rui

  College of Information Science and Engineering, Ritsumeikan University

• Tang Song-Yuan

  College of Information Science and Engineering, Ritsumeikan University

• Chen Yen-wei

  College Of Information And Science Ristumeikan University

• Kurumi Yoshimasa

  The Department Of Surgery Shiga University Of Medical Science

• XU Rui

  the Graduate School of Engineering and Science, Ritsumeikan University

• TANG Song-Yuan

  the Department of Opto-electronic Engineering, Beijing Institute of Technology

• MORIKAWA Shigehiro

  the Biomedical MR Science Center, Shiga University of Medical Science

• Morikawa Shigehiro

  The Biomedical Mr Science Center Shiga University Of Medical Science

• Morikawa Shigehiro

  Mr Science Research Center Shiga University Of Medical Science

• Tang Song-yuan

  The Department Of Opto-electronic Engineering Beijing Institute Of Technology

• Xu Rui

  The Graduate School Of Engineering And Science Ritsumeikan University

• Morikawa Shigehiro

  Department Of Surgery Shiga University Of Medical Science

• Xu Rui

  College Of Information And Science Ristumeikan University

• Kurumi Yoshimasa

  Department of Comprehensive Surgery, Shiga University of Medical Science

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