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In this submission, we offer the GaussianInterpolationImageFunction which adds to the growing collection of existing interpolation algorithms in ITK for resampling scalar images such as the LinearInterpolateImageFunction, BSplineInterpolateImageFunction, and [...]

Semi-automatic image segmentation algorithms depend on interaction with the user to accurately define a region of interest within an image. Once such method is a dynamic programming approach called {em Intelligent Scissors} developed by Mortenson and Barret [...]

Graph-based algorithms have enjoyed renewed interest for solving computer vision problems. These algorithms have been the subject of intense interest and research. In order to maintain the ITK library au courant, we developed a framework for graph-based [...]

VoxBo (www.voxbo.org) is a distributed processing framework, developed at the Center of Functional Neuroimaging at the University of Penssylvania, with the purpose of processing and analyzing brain functional MRI data.
VoxBo is written in C++, and it is [...]

Meeting Andy Warhol Somewhere Over the Rainbow: RGB Colormapping and ITK
Published in The Insight Journal
Published in The Insight Journal
Although greyscale intensity values are primarily used in image data visualization oftentimes, due to the requirements of aesthetics (whether they be self-imposed or collaborator-suggested), mapping the greyscale image to a user-defined colormap is desired. [...]

A patch-based framework for new ITK functionality: Joint fusion, denoising, and non-local super-resolution
Published in The Insight Journal
Published in The Insight Journal
In an earlier Insight Journal article, we introduced an ITK implementation of the adaptive patch-based image denoising algorithm described in [3]. We follow-up up that offering with a generalized non-local, patch-based ITK class framework and a refactored [...]

User-Guided Level Set Segmentation of Anatomical Structures with ITK-SNAP
Published in The Insight Journal
Published in The Insight Journal
Active contour segmentation and its robust implementation using level sets
have been studied thoroughly in the medical image analysis literature. Despite
the availability of these powerful methods, clinical research still largely
relies on manual [...]
