Google summer of Code 2025, final work product submission #58
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A Digital Twin approach for Advanced Supervoxel Visualization for Multi-Image View in Imaging
Project Summary
This project extends the capabilities of the MedEye3D framework by developing an advanced visualization tool for supervoxel-based comparison across multiple medical imaging modalities (e.g., CT and MRI). The tool will enable users to interactively explore supervoxels on synchronized image views, with automatic highlighting of corresponding regions to aid in non-rigid registration and comparative analysis. Features include side-by-side image displays, interactive correction of supervoxel associations, and annotation of anatomical control points to support image alignment. Built using Julia, ModernGL.jl, and ITK/SimpleITK, this tool will enhance clinical workflows and research by improving registration accuracy and facilitating reliable visualization in complex imaging scenarios. The project contributes to digital twin applications in healthcare by enabling robust, user-guided multi-modality analysis.