Divyansh Goyal
I engage with scientific computing and computational biology through Julia lang development, with applications in High-Energy Physics, Cryo-ET, and HPC. This includes two Google Summer of Code projects with The Julia Language (2024 & 2025). I am also an O'Reilly DEIJ Scholarship Recipient and a Microsoft Learn Student Ambassador.
Intervention
MedEye3d.jl is a vital Julia package for 3D medical image visualization, playing a crucial role in workflows from registration to segmentation analysis. This talk introduces recent advancements in MedEye3d.jl, stemming from GSoC, that push it towards a "digital twin" for medical imaging. We'll explore the implementation of a novel multi-image display mode, enabling concurrent visualization of registered heterogeneous studies (e.g., CT and PET). A key focus will be the introduction of dynamic supervoxel border rendering and interactive highlighting across these linked views, allowing for intuitive comparison and analysis. We'll also touch upon new features for interactive supervoxel association correction and control point annotations, significantly enhancing the tool's utility for registration, orientation, and detailed visual inspection. These enhancements leverage Julia's performance and ModernGL.jl for a responsive and powerful user experience, further solidifying Julia's position in the medical imaging domain.