SMILI Assistant


The Simple Medical Imaging Library Interface (SMILI), pronounced 'smilie', is a light-weight (application and) user-interface framework that provides a very high level (Qt) interface to powerful image processing and scientific visualisation algorithms from the suberb Insight Toolkit (ITK) and powerful Visualisation Toolkit (VTK).

It allows one to build stand-alone medical imaging applications quickly and easily, while having a multitude of processing and visualisations built-in. It has special support for the interaction of images and 3D models by allowing simultaneuous visualisation of both in a standardised way and/ortogether in a single view. The library can also be used to test algorithms on existing data and has tools for visually inspecting results from processing pipelines (via mechanisms such as  off-screen rendering etc.)

SMILI was developed by Dr. Shekhar S. Chandra in his spare time during his post doctoral fellowship at the Australian e-Health Research Centre, CSIRO and Research Fellowship at the University of Queensland from 2011 to 2014 under the expert supervision of Dr. Jurgen Fripp, Dr. Jason Dowling, Dr. Olivier Salvado and Prof. Stuart Crozier (see the credits page for more detail). It is in some way a spiritual successor to the Discrete Geometry 3D Viewer (DGV) he developed in his Ph.D.

It was born out of the necessity of having a easy to use but light weight (in terms of processing) library to develop user interface applications that everyday researcher could leverage to make their work more readily accessible to others. The prototype viewer, called sMILX, was developed that soon grew to be the defacto application for medical imaging and shape analysis within our lab.

See the getting started page and features page to get a feel for what SMILI can do for you.