dna-medical

InVesalius – 3D medical imaging reconstruction

Last Updated on September 1, 2026

InVesalius generates 3D medical imaging reconstructions based on a sequence of 2D DICOM files acquired with CT or MRI equipment.

Among the various tools InVesalius has advanced 3D visualization tools, using raycasting technique. It also has projection tools such as Maximum Intensity Projection (MaxIP or MIP),Minimum Intensity Projection (MinIP), Mean Intensity Projection (MeanIP), MIDA, Contour MaxIP and Contour MIDA.

This is free and open source software.

Features include:

  • DICOM-support including: (a) ACR-NEMA version 1 and 2; (b) DICOM version 3.0 (including various encodings of JPEG -lossless and lossy-, RLE).
  • Support to Analyze files.
  • Support to BMP, PNG, JPEG and TIF files.
  • Image manipulation facilities (zoom, pan, rotation, brightness/contrast, etc).
  • Segmentation based on 2D slices.
  • Pre-defined threshold ranges according to tissue of interest.
  • Segmentation based on watershed
  • Edition tools (similar to Paint Brush) based on 2D slices.
  • Linear and angular measurement tool.
  • Volume reorientation tool.
  • 3D surface creation.
  • 3D surface volume measurement.
  • 3D surface connectivity tools.
  • 3D surface exportation (including: binary and ASCII STL, PLY, OBJ, VRML, Inventor).
  • High-quality volume rendering projection.
  • Pre-defined volume rendering presets.
  • Volume rendering crop plane.
  • Picture exportation (including: BMP, TIFF, JPG, PostScript, POV-Ray).
  • Internationalization support
  • Cross-platform support – runs under Linux, macOS, and Windows.

Website: invesalius.github.io
Support: GitHub Code Repository
Developer: InVesalius
License: GNU General Public License v2.0

InVesalius in action
Click image for full size

InVesalius is written in Python. Learn Python with our recommended free books and free tutorials.


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