Coordinate Transformation based on Splines

This application illustrates the use of the KernelBase Spline transform classes. In particular it compares the behavior of Spline transforms in Insight with the equivalent classes available in VTK. This application requires VTK (version 4.2) to compile. It also uses FLTK for supporting the Graphic User Interface. It is a good example of a complete application in which image processing, visualization and user interaction are integrated using three Open-Source toolkits.

What is the Purpose of this Application
The object of this application is to illustrate the use of deformable Transformations in Insight. A Deformable Transformation is determined by a set of landmarks placed in the input space and a set of associated landmarks placed on the output space. The transforms in this application will map any other point of the input space into a point on the output space. The transformation corresponding to an arbitrary point is calculated by interpolation from the displacement already defined by the input and output landmarks. These sets of landmarks are usually refereed to a as Source landmarks and Target landmarks. The Spline Transforms in Insight have been implemented directly form the IEEE-TMI paper by Davis, Khotanzad, Flaming and Harms [1].

About the GUI
This application presents a workbench on which a set of landmarks is placed on an input space (at left on the image) and another set of landmarks is placed on the output space (at right on the image). The positions of the

Visualization is performed using VTK the Visualization Toolkit http://www.vtk.org. The GUI for this application uses FLTK which is an open source multi-platform toolkit for GUI development. It can be downloaded from http://www.fltk.org.

Graphical User Inerface
Graphic User Interface using FLTK

What ITK Classes Made This Application Possible ?
The ITK filters used to compute these images are the following:

References
[1] M.H. Davis, A. Khotanzad, D.P. Flaming, S.E. Harms, "A Physics-Based Coordinate Transformation for 3-D Image Matching", IEEE Transactions on Medical Imaging, Vol 16, No. 3, June 1997, pp.317-328.

Go to next application.