SMILI – The Simple Medical Imaging Library Interface

The Simple Medical Imaging Library Interface (SMILI), pronounced ‘smilie’, is an open-source, lightweight and easy-to-use medical imaging viewer and library for all major operating systems.

The main sMILX application features for viewing n-D images, vector images, DICOMs, anonymizing, shape analysis and models/surfaces with easy drag and drop functions.

It also features a number of standard processing algorithms for smoothing, thresholding, masking etc. images and models, both with graphical user interfaces and/or via the command-line.

The applications are all built out of a uniform user-interface framework that provides a very high level (Qt) interface to powerful image processing and scientific visualisation algorithms from the Insight Toolkit (ITK) and Visualisation Toolkit (VTK). The framework allows one to build stand-alone medical imaging applications quickly and easily.

Features include:

• Image Processing.
• Surface/Model Processing.
• Surface/Model Visualisation.
• n-D Image Visualisation.
• Deformation Field Visualisation.
• DICOM and DICOM RT Support.
• Shape Modelling.
• Python Scripting.
• Polygonal Contouring.
• Animating Surfaces.
• Formats include:
  • Nifti (*.nii.gz *.nii) and GIPL (*.gipl).
  • Analyse (*.img *.hdr)
  • Raster multimedia formats: PNG, JPEG, BMP, TIFF, PPM.
  • DICOMs of various descriptions (*.ima *.dcm *.dicom). Support is done via the GDCM library.
  • VTK XML Image (*.vti)
  • Triangulated Surfaces or 3D Models (*.vtp *.vtk *.ply *.obj *.stl)
  • Meta Images (*.mha *.mhd)
  • Delimited Text or Comma Separated Value files (*.txt *.csv). This is mainly for plots.
  • Medical imaging formats supported by the Insight Toolkit (ITK).
  • Other formats that can be supported include (PGM, INR, DICOM RTs (Structure Sets)) with the appropriate plugins.

Website: smili-project.sourceforge.io
Support: Documentation, Mailing List
Developer: Chandra, S. S.; Dowling, J. A.; Engstrom, C.; Xia, Y.; Paproki, A.; Neubert, A.; Rivest-Hénault, D.; Salvado, O.; Crozier, S. & Fripp, J.
License: Open Source

SMILI is written in Python and C++. Learn Python with our recommended free books and free tutorials. Learn C++ with our recommended free books and free tutorials.

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