MedINRIA
MedINRIA
Processes wide range of magnetic resonance data.
Free
Absolutely Free
MedINRIA overview
medInria is a multi-platform medical image processing and visualization software. It is free and open-source. Through an intuitive user interface, medInria offers from standard to cutting-edge processing functionalities for your medical images such as 2D/3D/4D image visualization, image registration, diffusion MR processing and tractography.
medInria can be used for a wide variety of tasks. It provides in its current release 6 main feature categories including:
- Database management and file import: DICOM read, PACS interrogation, various file formats handling, etc.
- Visualization: 2D to 4D image visualization, tensor, surfaces visualization in a drag-drop and tabs interface
- Diffusion images processing: from tensor estimation to tractography, including the visualization of tensor fields and bundling of fiber tracts
- Image segmentation: manual interactive (and soon automatic) segmentation of images
- Registration of images: register images utilizing either linear or non-linear transformations
- Filtering of images: Apply basic or advanced filters to an image (from some ITK-based basic filters to more advanced denoising algorithms)
What’s new in version 3.2.0
Updated on Jan 27 2023
- Switch ITK to version 5.1.1
- Add some tooltips in view navigator
- Avoid crashes if you try to open fibers data in some toolboxes
- DICOM: keep more metadata
- Remove the Generic Workspace, you can use the many existing workspaces, or create your own easily if needed
- Fix a bug where, if there is a volume and a mesh in the 2D view, changing the LUT of the mesh would also change the LUT of the image
- Fix a bug double-cliking in Polygon ROI
- Scenes: add an import and export functionality, to save the view and your parameters
- Video Export: add the export of a view as .ogv [or .mp4 possibility] or batch of .jpeg. By time, rotation of a mesh or slice
- Fix some small bugs
Information
App requirements
- Intel 64
- macOS 10.13 or later
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