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Development of a 3D Slicer Extension to Support Samsung Medical Center's Protocol-Based Pre-Operative Planning for Liver Transplantation and Liver Cancer Surgery

Lim Soyoung

Researcher, Department of Surgery, Division of Transplantation (Liver) Samsung Medical Center

syl942511@gmail.com

Slicer week 2025 - Preparation meeting

2024.12.10

Keywords: Liver cancer surgery, Liver Transplantation, 3D Slicer automation, 3D Slicer extension

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Project Description

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Project Description

This extension will be developed for use at Samsung Medical Center to support their protocol-based pre-operative planning for liver transplantation and liver cancer surgery using 3D Slicer. The extension will helping automation of generating accurate 3D patient models from medical imaging data and enable surgical planning and simulation. This will improve the efficiency of the 3D reconstruction process.

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# 3D reconstruction + 3D webviewer for surgical planning 2021~2024

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Samsung Medical Center has established a protocol for using 3D Slicer to generate accurate patient-specific 3D models from medical imaging data, enabling enhanced pre-operative planning and simulation for liver transplantation and liver cancer surgery. As described in a recent study (Rhu et al., 2021), this protocol leverages advanced liver segmentation techniques and 3D modeling to provide surgeons with detailed visualizations of the patient's anatomy.

Background

Rhu, J., Choi, G.-S., Kim, M.S., Kim, J.M. and Joh, J.-W. (2021), Image guidance using two-dimensional illustrations and three-dimensional modeling of donor anatomy during living donor hepatectomy. Clin Transplant, 35: e14164. https://doi.org/10.1111/ctr.14164

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Since the summer of 2023, the medical center has been transitioning from MIMICS to 3D Slicer as their primary tool. To streamline the repetitive tasks involved, they have been working to automate the workflow using custom scripts starting in early 2024. The goal of this project is to develop a specialized 3D Slicer extension that aligns with the established institutional protocols and automates the 3D modeling process.

Background

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Background

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Purpose

The goal of this project is to develop a specialized 3D Slicer extension that aligns with the established institutional protocols and automates the 3D modeling process.

  • Ability to leverage the existing 3D Slicer ecosystem
  • Easy integration with other extensions like the Total Segmentator
  • Ability to utilize the support and feedback from the Slicer community
  • Ease of distribution and updates through the Slicer Extension Manager
  • Good accessibility for existing 3D Slicer users

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Methods

  • Refactoring the existing scripts (Modularization/ Documentation)
  • Improved error handling
  • Korean User friendly UI
  • Setting up the extension development environment
  • Leveraging the extension template
  • Documentation for users

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Thank you