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Novel Liver Visualization and Surgical Simulation System

  • Original Article
  • Published:
Journal of Gastrointestinal Surgery

Abstract

Background

Successful liver surgery requires an understanding of the patient’s particular liver characteristics, including shape and vessel distribution. In clinical medicine, there is a high demand for surgical assistance systems to assess individual patients. Our aims in this study were to segment the liver based on computed tomography volume data and to develop surgical plans for individual patients.

Methods

The hepatic vessels were semi-automatically extracted from the segmented liver images, and the 3D shape of the liver and extracted vessel distribution were visualized using a surgical simulation system.

Results

The 3D visualization of the liver allowed easy recognition of vessel and tumor location and selection of these structures with the 3D pointing device. The surgeon’s prior knowledge and clinical experience were integrated into the visualization system to create a practical virtual surgery, leading to improved functionality and accuracy of information recognition in the surgical simulation system.

Conclusions

The 3D visualization demonstrated details of individual liver structure, resulting in better understanding and practical surgical simulation.

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Author information

Authors and Affiliations

  1. Department of Surgery, Hirakata Hospital, Kansai Medical University, 2-3-1 Shinmachi, Hirakata, Osaka, 573-1191, Japan

    Masaki Kaibori, Kosuke Matsui, Morihiko Ishizaki, Takumi Tsuda, Richi Nakatake, Tatsuma Sakaguchi, Hideyuki Matsushima & A-Hon Kwon

  2. Intelligent Image Processing Lab, College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, 525-8577, Japan

    Yen-Wei CHEN, Kosuke Miyawaki, Tsukasa Shindo & Tomoko Tateyama

Authors
  1. Masaki Kaibori
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  2. Yen-Wei CHEN
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  3. Kosuke Matsui
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  4. Morihiko Ishizaki
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  5. Takumi Tsuda
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  6. Richi Nakatake
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  7. Tatsuma Sakaguchi
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  8. Hideyuki Matsushima
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  9. Kosuke Miyawaki
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  10. Tsukasa Shindo
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  11. Tomoko Tateyama
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  12. A-Hon Kwon
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Corresponding author

Correspondence to Masaki Kaibori.

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Kaibori, M., CHEN, YW., Matsui, K. et al. Novel Liver Visualization and Surgical Simulation System. J Gastrointest Surg 17, 1422–1428 (2013). https://doi.org/10.1007/s11605-013-2262-x

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  • DOI: https://doi.org/10.1007/s11605-013-2262-x

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