Open-source software for 3D medical imaging reconstruction from CT and MRI DICOM files.
InVesalius is an open-source software application that generates 3D reconstructions from medical imaging data, specifically sequences of 2D DICOM files from CT or MRI equipment. It solves the problem of needing expensive, proprietary software to visualize and analyze 3D medical images by providing a free, comprehensive toolkit for this purpose.
Medical researchers, radiologists, biomedical engineers, and healthcare professionals who need to visualize, segment, measure, and export 3D models from CT or MRI scans for analysis, planning, or education.
Developers and institutions choose InVesalius because it is a fully-featured, free, and open-source alternative to commercial medical imaging software, with strong multi-platform support, internationalization, and a wide array of import/export formats and analysis tools.
3D medical imaging reconstruction software
Handles multiple medical image formats including DICOM 3.0 with various JPEG encodings, Analyze, and common formats like BMP and PNG, as listed in the README, ensuring compatibility with diverse data sources.
Offers slice-based segmentation, pre-defined tissue thresholds, watershed segmentation, and paint brush-style editing, providing versatile options for isolating anatomical structures from medical scans.
Runs on GNU Linux, Windows, and macOS, and is available in several languages including English, Portuguese, and French, enhancing accessibility for global medical professionals and researchers.
Exports 3D surfaces in STL, PLY, OBJ, VRML, and Inventor formats, and pictures in BMP, TIFF, JPG, etc., supporting integration with 3D printing, simulation software, and other applications.
Setting up InVesalius requires following platform-specific wiki guides for Linux, Mac, and Windows, indicating a non-trivial installation that may deter non-technical users or those seeking quick deployment.
Lacks modern features like AI-based automatic segmentation or cloud integration, which are common in commercial medical imaging software, potentially limiting efficiency for cutting-edge research or clinical workflows.
As an open-source project, support relies on community forums and documentation, which may be less responsive or comprehensive compared to paid commercial alternatives, affecting troubleshooting for critical issues.
Powerful yet simple to use screenshot software :desktop_computer: :camera_flash:
🖼️ PNG/JPEG optimization app for macOS, Windows and Linux.
Insane(ly slow but wicked good) PNG image optimization
Cross-platform desktop GUI app to clean image metadata
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.