Project: Development of a 3D Slicer Extension to Support Samsung Medical Center's Protocol Based PreOperative Planning for Liver Transplantation and Liver Cancer Surgery

[imsso-bmed]

Draft Status

Draft - team will hold off on page creation

Category

Infrastructure

Key Investigators

• Soyoung Lim (Samsung Medical Center, Republic of Korea)
• Hyejeong Hong (Samsung Medical Center, Republic of Korea)

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 generate accurate 3D patient models from medical imaging data and enable surgical planning and simulation. This will improve the efficiency of the 3D reconstruction process.

A recent study (Rhu et al., 2021) found that using 2D illustrations and 3D modeling of donor anatomy during living donor hepatectomy improved image guidance for liver transplantation procedures at Samsung Medical Center. The medical center has established a protocol for 3D reconstruction to generate accurate patient-specific 3D models from medical imaging data, enabling enhanced pre-operative planning and simulation.

Since the summer of 2023, the medical center's research team has been transitioning from MIMICS program to 3D Slicer as their primary segmentation tool. To streamline the repetitive tasks, 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.

Objective

1. Objective A. Describe what you plan to achieve in 1-2 sentences.

Approach and Plan

1. Describe specific steps of what you plan to do to achieve the above described objectives.

Progress and Next Steps

1. Describe specific steps you have actually done.

Illustrations

No response

Background and References

Rhu J, Choi GS, Kim MS, Kim JM, Joh JW. Image guidance using two-dimensional illustrations and three-dimensional modeling of donor anatomy during living donor hepatectomy. Clin Transplant. 2021 Jan;35(1):e14164. doi: 10.1111/ctr.14164. Epub 2020 Dec 12. PMID: 33222255. https://pubmed.ncbi.nlm.nih.gov/33222255/

Oh, N., Kim, JH., Rhu, J. et al. Automated 3D liver segmentation from hepatobiliary phase MRI for enhanced preoperative planning. Sci Rep 13, 17605 (2023). https://doi.org/10.1038/s41598-023-44736-w

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