Patient-Specific 3D Visualization of the Liver and Vascular Structures and Interactive Surgical Planning System

DOI
  • TATEYAMA Tomoko
    Intelligent Image Processing Lab, College of Information Science and Engineering, Ritsumeikan University
  • KAIBORI Masaki
    Department of Surgery, Kansai Medical University
  • SHINDO Tsukasa
    Intelligent Image Processing Lab, College of Information Science and Engineering, Ritsumeikan University
  • Amir Hossein FORUZAN
    Intelligent Image Processing Lab, College of Information Science and Engineering, Ritsumeikan University
  • LIN Chen-Lun
    Intelligent Image Processing Lab, College of Information Science and Engineering, Ritsumeikan University
  • MIYAWAKI Kosuke
    Intelligent Image Processing Lab, College of Information Science and Engineering, Ritsumeikan University
  • TSUDA Takumi
    Department of Surgery, Kansai Medical University
  • MATSUI Kosuke
    Department of Surgery, Kansai Medical University
  • KON Masanori
    Department of Surgery, Kansai Medical University
  • HAN Xianhua
    Intelligent Image Processing Lab, College of Information Science and Engineering, Ritsumeikan University
  • JIANG Huiyan
    Software College, Northeastern University, Shenyang, China
  • CHEN Yen-Wei
    Intelligent Image Processing Lab, College of Information Science and Engineering, Ritsumeikan University

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Other Title
  • 患者に特化した肝臓情報とその脈管分布可視化および対話かつ直感的な手術支援システムの構築

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Description

Computer-assisted diagnosis/surgery systems have had a significant influence on the diagnosis and surgical treatment of hepatic diseases. In this paper, we propose a novel simulation system for liver surgical planning that combines image processing and computer vision techniques. The proposed system is composed of three modules: liver segmentation, vessel extraction, and visualization/interaction. We first segment the liver region from a CT volume using K-means clustering and geodesic active contour algorithms. We then extract the vessels using multiscale filters. The third visualization/interaction module visualizes the vessels and prepares a virtual environment for the user to perform surgical procedures on the liver image. First, the internal structure of the liver together with the vessels is shown to the physician. Virtual surgery is then started. A toggling option makes it easy to view the internal structure of the liver or make it opaque during surgery. This system is expected to be useful for treatment/surgical planning and may even serve as a guided surgery system.

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