Development and Optimization of 3D Slicer Extensions for Research-Oriented Medical Image Processing and Computational Modeling

  • chair:Medical Imaging for Modeling and Simulation
  • type:Student research project
  • tutor:

    M.Sc. Domenico Riggio

  • person in charge:

    BCE Kimia Ghodousipour

  • The project focuses on the development, refinement, and validation of advanced extensions for 3D Slicer to support research activities in medical image processing and computational modeling. The main objective is to design and implement modular tools that enhance image-based workflows and contribute to ongoing scientific projects within the institute.
    The work will begin with the development of a voxelization extension, providing a structured and robust solution for converting imaging data into simple volumetrized object meant to be used for mechanical simulations. This phase will emphasize clean implementation, validation, and usability within existing workflows.
    Subsequently, the project will address the improvement and stabilization of a second, more advanced extension that has already undergone preliminary development. This extensions includes the integration between GetFEM into the 3DSlicer environment. The goal will be to enhance its robustness, reduce bugs, improve performance, and ensure maintainability through systematic testing and code refinement.
    In addition to extension development, the project includes supportive IT contributions to parallel research initiatives, facilitating integration, optimization, and technical sustainability of computational tools.
    Overall, the project aims to strengthen the reliability, scalability, and research impact of software solutions used in image-guided and computational biomedical research.