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Graph Cuts, <i>Caveat Utilitor</i>, and Euler's Bridges of Konigsberg
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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 [...]

Introducing Dice, Jaccard, and Other Label Overlap Measures To ITK
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Although the KappaStatisticImageToImageMetric can be used to obtain the Dice metric (or mean overlap), there are other related measurements that are useful for evaluating results derived from various image analysis tasks. These measures include the target [...]

Support for
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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 [...]

N-D Linear Time Exact Signed Euclidean Distance Transform
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Fast computation of distance transforms find direct application in various computer vision problems. Currently there exists two image filters in the ITK library which can be used to generate distance maps. Unfortunately, these filters produce only [...]

N4ITK:  Nick's N3 ITK Implementation For MRI Bias Field Correction
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Several algorithms exist for correcting the nonuniform intensity in magnetic resonance images caused by field inhomogeneities. These algorithms constitute important preprocessing steps for subsequent image analysis tasks. One such algorithm, known as [...]

Well-Composed Image Filters for Repairing 2-D and 3-D Binary Images
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We consider 2-D and 3-D digital binary images characterized by their well-composedness. Well-composed images exhibit important topological and geometrical properties not shared by their ill-composed counterparts. These properties have important [...]

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 [...]

A Novel Information-Theoretic Point-Set Measure Based on the Jensen-Havrda-Charvat-Tsallis Divergence
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A novel point-set registration algorithm was proposed in [6] based on minimization of the Jensen-Shannon divergence. In this contribution, we generalize this Jensen-Shannon divergence point-set measure framework to the Jensen-Havrda-Charvat-Tsallis [...]

N-D $C^k$ B-Spline Scattered Data Approximation
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Since the 1970's B-splines have evolved to become the {em de facto} standard for curve and surface representation due to many of their salient properties. Conventional least-squares scattered data fitting techniques for B-splines require the inversion [...]

Escher's Ants as Metaphor:   Topological Marching for the Well-Composed, Genus Zero Crowd
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Topological considerations for segmentation results are important for such applications as proper brain segmentation from digital image data. We present an enhancement of the FastMarchingImageFilter which allows for topologically constrained evolution of the [...]

Run-Length Matrices For Texture Analysis
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Texture analysis provides quantitative information describing properties in images such as coarseness and smoothness. Two common quantification schemes are based on co-occurence matrices and run-length matrices. Although the co-occurence measures are [...]

Information-Theoretic Directly Manipulated Free-Form Deformation Labeled Point-Set Registration
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Our previous contributions to the ITK community include a generalized B-spline approximation scheme as well as a generalized information-theoretic measure for assessing point-set correspondence known as the Jensen-Havrda-Charvat-Tsallis (JHCT) divergence. In [...]

Meeting Andy Warhol Somewhere Over the Rainbow:  RGB Colormapping and ITK
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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. [...]

Go-Go Gabor Gadgetry
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Although Gabor filtering is quite prevalent in the computer vision community for such tasks as texture segmentation and motion analysis, such capabilities are conspicuously absent from the Insight Toolkit. The contribution described in this paper attempts [...]

Gridding Graphic Graticules
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Certain classes of images find disparate use amongst members of the ITK community for such purposes as visualization, simulation, testing, etc. Currently there exists two derived classes from the ImageSource class used for generating specific images for [...]

Well-Composedness and the Topological Repairing of 2-D and 3-D Digital Images
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In an earlier submission, we considered 2-D and 3-D digital binary images topologically characterized by their well-composedness. Well-composed images exhibit important topological and geometrical properties not shared by their ill-composed counterparts. [...]

Live-Wire-ing the Insight Toolkit with Intelligent Scissors
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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 [...]

Image Kernel Convolution
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Convolution is a basic operation in image analysis and the Insight Toolkit provides a well-framed mechanism for such operations (see Chapter 11 of the ITK Software Guide. The classes associated with this contribution are meant to simplify convolution [...]

User-Guided Level Set Segmentation of Anatomical Structures with ITK-SNAP
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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 [...]

Stochastic Fractal Dimension Image
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Fractal analysis for medical image classification and analysis was introduced in cite{Chen1989}. According to the authors, when viewed as an intensity surface, Mandelbrot's fractal theory provides an informative framework for characterizing such a surface. [...]


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