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Related Concept Videos

Gross Anatomy of the Liver01:17

Gross Anatomy of the Liver

The liver, the largest gland within the human body, is a firm and reddish-brown organ. This wedge-shaped structure weighs approximately 1.5 kg and occupies a significant portion of the right hypochondriac and epigastric regions. It extends more to the right of the body's midline than to the left.
Located under the diaphragm, the liver is almost entirely ensconced within the rib cage, providing it with substantial protection. Except for the superior most bare area, the liver's surface is covered...

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Updated: May 10, 2026

Three-dimensional Location Approach with Silk Thread Guided Laparoscopic Segmentectomy for Liver Tumor
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Three-dimensional Location Approach with Silk Thread Guided Laparoscopic Segmentectomy for Liver Tumor

Published on: May 23, 2025

Novel liver visualization and surgical simulation system.

Masaki Kaibori1, Yen-Wei Chen, Kosuke Matsui

  • 1Department of Surgery, Hirakata Hospital, Kansai Medical University, 2-3-1 Shinmachi, Hirakata, Osaka 573-1191, Japan. kaibori@hirakata.kmu.ac.jp

Journal of Gastrointestinal Surgery : Official Journal of the Society for Surgery of the Alimentary Tract
|June 26, 2013
PubMed
Summary

This study developed a 3D visualization system for liver surgery planning. The system enhances surgical simulation by accurately depicting individual liver anatomy and vessel distribution from computed tomography data.

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Area of Science:

  • Medical Imaging
  • Surgical Simulation
  • Computational Anatomy

Background:

  • Liver surgery demands precise understanding of patient-specific liver anatomy, including shape and vasculature.
  • Clinical practice requires advanced surgical assistance systems for patient assessment.
  • Accurate pre-operative planning is crucial for successful liver interventions.

Purpose of the Study:

  • To segment liver anatomy from computed tomography (CT) data.
  • To develop patient-specific surgical plans using 3D visualization.
  • To create a virtual surgery environment for enhanced pre-operative assessment.

Main Methods:

  • Semi-automatic extraction of hepatic vessels from segmented liver images.
  • 3D visualization of liver shape and vessel distribution using a surgical simulation system.
  • Integration of surgeon's knowledge and experience into the visualization system.

Main Results:

  • 3D liver visualization facilitated easy identification and selection of vessels and tumors.
  • Virtual surgery improved system functionality and accuracy of information recognition.
  • Enhanced recognition of vessel and tumor locations was achieved.

Conclusions:

  • 3D visualization provides detailed insights into individual liver structures.
  • The developed system enables practical and improved surgical simulation.
  • Enhanced understanding of patient-specific anatomy aids in surgical planning.