This document describes an ITK implementation of the adaptive patch-based image denoising algorithm described in cite{Manjon:2010aa}. This offering consists of the templated class itkPatchBasedDenoisingImageFilter interfaced through the DenoiseImage program [...]

The recent ITKv4 refactoring includes several enhancements to the existing registration framework. These additional transform classes provide access to mappings described by dense displacement fields and their corresponding optimization which complement the [...]

A recent article by Van Hecke et al. [3] describes a framework for creating simulated diffusion-weighted images (DWI). The methodology allows for modeling intersubject variability, regional pathology, and noise and is quite useful for evaluation purposes. [...]

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 [...]

Hilbert curves look pretty sweet which is why I wrote this class. Take a look at the pictures and see for yourself.