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Implementing the Automatic Generation of 3D Statistical Shape Models with ITK
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Statistical Shape Models are a popular method for segmenting three-dimensional medical images. To obtain the required landmark correspondences, various automatic approaches have been proposed. In this work, we present an improved version of minimizing the [...]

Local Shape Analysis using MANCOVA
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Gross shape measures such as volume have been widely used in statistical analysis of anatomical structures. Statistical shape analysis methods have emerged within the last decade to allow for a localized analysis of shape. Most shape analysis frameworks are [...]

Vessel Enhancing Diffusion Filter
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This paper describes vessel enhancing diffusion (VED) filters implemented using the Insight Toolkit (ITK). The filters are implementation of the VED algorithm developed by Manniesing et al . The VED algorithm follows a multiscale approach to enhance [...]

Grid voxelization with partial volume effects in VTK
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We present a filter that voxelizes the volume of a 3D structured, unstructured, or rectilinear grid into a vtkImageData with partial volume effects. The partial grid volume occupying each voxel is computed exactly from the intersection of the grid volume and [...]

KWMeshVisu: A Mesh Visualization Tool for Shape Analysis
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Many statistical shape analysis methods produce various types of data about the analyzed surfaces, such as p-value maps, distance maps, 3D difference vectors and local covariance matrices. This data is often too large and thus difficult to be properly [...]

An ITK Implementation of a Diffusion Tensor Images Resampling Filter
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This paper describes the implementation of a resampling filter for Diffusion Tensor Images (DTI) in the Insight ToolKit (ITK). ITK already contains a filter for resampling scalar and vector images as well as several transformation and interpolation classes. [...]

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 [...]

3D Segmentation in the Clinic: A Grand  Challenge II: MS lesion segmentation
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This paper describes the setup of a segmentation competition for the automatic extraction of Multiple Sclerosis (MS) lesions from brain Magnetic Resonance Imaging (MRI) data. This competition is one of three competitions that make up a comparison workshop at [...]


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