Introduction to ITK Casey Goodlett (with help from others as listed in references)

What is ITK Image Processing and Analysis Toolkit Does not visualization (VTK recommended) Does not include GUI framework Designed for Medical Imaging Applications In general algorithms work in N-dimensions

Catalog of ITK Features Image IO Image processing Canny Edge Hough Transform (lines/ellipsoids) Variable Conductance Diffusion Geometry IO/representation/processing (Spatial Objects) Statistics Registration/Segmentation Numerics (VXL) Optimizers Finite Element Simulation

How code using ITK is written Mostly in C++ (wrappers exist) Heavily templated/generic programming like STL Multi-threading capable Pipeline architecture 1. Build Pipeline 2. Execute pipeline CMake used as build system Reader Image File Gaussian Image Writer File

Installing ITK Download InsightTookit zip from Download CMake installer from Install CMake Unzip InsightToolkit to folder Run CMake set PATH\InsightToolkit as source code folder Set PATH\InsightToolkit bin as where to build binaries Disable BUILD_EXAMPLES and BUILD_TESTING Click Configure button

Installing ITK (part 2) Open ITK.dsw in binary build directory Select Active Configuration to ALL_BUILD – Win32 RelWithDebInfo Click Build Wait minutes

Build Sample Program Unzip itkdemo.zip to some folder Run CMake same as for ITK For ITK_DIR set binary directory Open itkdemp.dsw in Visual Studio Itkdemo.exe

Useful ITK Components for As 4 BinaryErodeImageFilter BinaryDilateImageFilter BinaryBallStructuringElement Neighborhood (For custom structuring elements) Neighborhood

References ppt ITK CVS Online documentation ITK 2.0 (preliminary) Software Guide pdf?download d-I.pdf d-I.pdf Neurolib tutorial (excellent for research use of ITK)