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MedINRIA free download for Mac

MedINRIA for Mac3.1.1

03 November 2020

Processes wide range of magnetic resonance data.

What is MedINRIA for Mac

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 MedINRIA

Version 3.1.1:
  • Viewer optimization: opening data is quicker, debug a window/level lag
  • The annotation cube can be hidden in 3D view
  • Solve some annotation text problems
  • DB: remove a bug in the creation of the series
  • Fix DICOM import bug with special characters
  • Solve SH data image, and 4D image bugs
  • PolygonROI segmentation labels enhanced
  • Tools button icon, allow opening data in fix views
  • Plugins from Asclepios in medInria repository
  • Fix Retina screen problems with segmentations
  • Registration - fix LCC Log Demons transformation crash
  • Registration - put back name in undo-redo tool
  • Improve 3D rendering behavior
  • Add a DICOM exporter
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App requirements: 
  • Intel 64
  • macOS 10.13.0 or later
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