Implementing the Automatic Generation of 3D Statistical Shape Models with ITK
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
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 [...]

Grid voxelization with partial volume effects in VTK
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
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 [...]

Adapting the ITK Registration Framework to Fit Parametric Image Models
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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