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Gaussian Interpolation
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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 [...]

GPU and CPU implementation of Young - Van Vliet's Recursive Gaussian Smoothing Filter
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This document describes an implementation for GPU and CPU of Young and Van Vliet's recursive Gaussian smoothing as an external module for the Insight Toolkit ITK, version 4.* www.itk.org. In the absence of an OpenCL-capable platform, the code will run the CPU [...]

Perturbing Mesh Vertices with Additive Gaussian Noise
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This brief document provides an introduction to an external ITK module, DVMeshNoise. This module provides classes for perturbing the positions of the vertices of either an itk::Mesh or itk::QuadEdgeMesh with Gaussian noise. This may be useful in testing the [...]

Generalized Computation of Gaussian Derivatives Using ITK
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Computation of local image derivatives is an important operation in many image processing tasks that involve feature detection and extraction, such as edges, corners or more complicated features. However, derivative computation in discrete images is an [...]

Adapting the ITK Registration Framework to Fit Parametric Image Models
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The image registration framework in the Insight Tookit offers a powerful body of code for finding the optimal spatial transform that registers one image with another. However, ITK currently lacks a way to fit parametric models of image pixel values to an [...]

Cumulative Gaussian Curve Fitter for Boundary Parameterization
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We have previously developed an algorithm for locating boundaries in an image with sub-pixel resolution, as well as estimating boundary width and image intensity within the adjoining objects. The algorithm operates by finding the parameters of a cumulative [...]

New Expectation Maximization Segmentation Pipeline in Slicer 3
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Many neuroanatomy studies rely on brain tissue segmentation in Magnetic Resonance images (MRI). The Expectation-Maximization (EM) theory offers a popular framework for this task. We studied the EM algorithm developed at the Surgical Planning Laboratory (SPL) [...]

Noise simulation
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Several kind of noise can be found in real images, mostly depending on the modality of acquisition. It is often useful to be able to simulate that noise, for example to test the behavior of an algorithm in the presence of a known amount of noise. This [...]


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