<rss version="2.0">
<channel>
<title>The MIDAS journal</title>
<link>http://www.insight-journal.org</link>
<description>The MIDAS journal</description>
<copyright>Copyright www.insight-journal.org</copyright>
<image>
<url>http://www.insight-journal.org/images/IJLogo2.gif</url>
<title>www.insight-journal.org</title>
<link>http://www.insight-journal.org</link>
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<pubDate>Wed, 10 Mar 2010 11:52:28 -0500</pubDate>
<lastBuildDate>Wed, 10 Mar 2010 11:52:28 -0500</lastBuildDate><item>
<title>A Voodoo Reader and Viewer for VTK (Doria D.) [revision #2]</title>
<link>http://www.insight-journal.org//browse/publication/716</link>
<description>Voodoo is a popular, free structure from motion software package. It takes several, ordered images as input and computes the camera parameters of each image as well as a point cloud of an estimate of the 3D structure of the scene. This document presents a set of classes (vtkCalibratedImageCollection, vtkCalibratedImageCollectionReader, vtkVoodooReader) to enable a set of images and their associated 3D scene to be viewed in the same space. These classes are implemented using tools from VTK.</description>
<pubDate>Sun, 03 Oct 2010 00:00:00 -0400</pubDate>
</item>
<item>
<title>FFT based convolution (Lehmann G.)</title>
<link>http://www.insight-journal.org//browse/publication/717</link>
<description>The Fourier transform of the convolution of two images is equal to the product of their
Fourier transform. With this definition, it is possible to create a convolution filter
based on the Fast Fourier Transform (FFT). The interesting complexity characteristics of
this transform gives a very efficient convolution filter for large kernel images.

This paper provides such a filter, as well as a detailed description of the implementation
choices and a performance comparison with the "simple" itk::ConvolutionImageFilter.
</description>
<pubDate>Fri, 03 Sep 2010 00:00:00 -0400</pubDate>
</item>
<item>
<title>Point Set Surface Reconstruction for VTK (Doria D.) [revision #2]</title>
<link>http://www.insight-journal.org//browse/publication/713</link>
<description>This document presents a set of classes (vtkPointSetSurfaceReconstruction, vtkVoxelizePolyData) to produce a surface from an oriented point set. These classes are implemented as VTK filters. A Paraview plugin interface is provided to allow extremely easy experimentation with the new functionality. We propose these classes as an addition to the Visualization Toolkit.</description>
<pubDate>Wed, 03 Mar 2010 00:00:00 -0500</pubDate>
</item>
<item>
<title>Using and Visualizing Projective Cameras in VTK (Doria D.)</title>
<link>http://www.insight-journal.org//browse/publication/715</link>
<description>This document presents a set of classes (vtkPhysicalCamera, vtkImageCamera) to enable a camera and an image acquired by that camera to be visualized in a 3D scene. Two situations where one would want to visualize camaras with associated images are range data analysis and 3D scene reconstruction from images (structure from motion). The classes presented in this paper are implemented using tools from VTK.</description>
<pubDate>Wed, 31 Dec 1969 19:00:00 -0500</pubDate>
</item>
<item>
<title>A Voodoo Reader and Viewer for VTK (Doria D.)</title>
<link>http://www.insight-journal.org//browse/publication/716</link>
<description>Voodoo is a popular, free structure from motion software package. It takes several, ordered images as input and computes the camera parameters of each image as well as a point cloud of an estimate of the 3D structure of the scene. This document presents a set of classes (vtkCalibratedImageCollection, vtkCalibratedImageCollectionReader, vtkVoodooReader) to enable a set of images and their associated 3D scene to be viewed in the same space. These classes are implemented using tools from VTK.</description>
<pubDate>Wed, 31 Dec 1969 19:00:00 -0500</pubDate>
</item>
<item>
<title>An ITK implementation of the Normalized Gradient Field Image to Image Metric (Wollny G., Ledesma-Carbayo M., Santos A.)</title>
<link>http://www.insight-journal.org//browse/publication/714</link>
<description>This article describes the ITK implementation of a Normalized Gradient Fields
based image-to-image metric. Some properties of the metric are discussed and example registrations are presented.</description>
<pubDate>Sun, 02 May 2010 00:00:00 -0400</pubDate>
</item>
<item>
<title>Information-Theoretic Directly Manipulated Free-Form Deformation Labeled Point-Set Registration (Tustison N., Awate S., Gee J.) [revision #7]</title>
<link>http://www.insight-journal.org//browse/publication/317</link>
<description>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 this submission, we combine these two contributions for the registration of labeled point-sets.  The transformation model which uses the former contribution is denoted as directly manipulated free-form deformation (DMFFD) and has been used for image registration.  The information-theoretic approach described not only eliminates exact cardinality constraints which plague exact landmark matching algorithms, but it also incorporates the local point-set structure into the similarity measure calculation.  Although theoretical discussion of these two components is deferred to other venues, the implementation details  given in this submission should be adequate for those wishing to use our algorithm. Visualization of results is aided by another of our previous contributions.  Additionally, we provide the rudimentary command line parsing classes used in our testing routines which were written in the ITK style and also available to use consistent with the open-source paradigm.</description>
<pubDate>Tue, 02 Mar 2010 00:00:00 -0500</pubDate>
</item>
<item>
<title>Adaptations of MARACAS algorithm to the segmentation of the carotid bifurcation and stenosis quantification in CTA images (Zuluaga M.A., Orkisz M., Delgado Leyton E.J., Dore V., Morales Pinzon A., Hernandez Hoyos M.) [revision #3]</title>
<link>http://www.insight-journal.org//browse/publication/671</link>
<description>This paper describes a 3D CTA image segmentation method submitted to the CLS09 contest (Carotid Lumen Segmentation and Stenosis Quantification) held in conjunction with the MICCAI 2009 conference. First, images are denoised to improve image quality and posterior segmentation. Second, region-based measurements are performed to differentiate possible vessels from other structures. Then, edge-driven metrics are used to allow vessel separation from nearby structures. Using, both edge-driven and region-based metrics a filter is used to enhance the vessels. The vessels of interest are extracted by use of the provided initialization points and of a model-driven segmentation algorithm. Using the obtained result, the final stage is devoted to stenosis quantification.</description>
<pubDate>Tue, 02 Feb 2010 00:00:00 -0500</pubDate>
</item>
<item>
<title>A Leica PTX Reader for VTK (Doria D.)</title>
<link>http://www.insight-journal.org//browse/publication/712</link>
<description>Leica LiDAR scanners output points in the PTX file format. It is often useful to convert this format to a standard VTK point cloud or mesh format before processing. We propose a new class, vtkPTXReader, to provide this functionality.</description>
<pubDate>Wed, 31 Dec 1969 19:00:00 -0500</pubDate>
</item>
<item>
<title>Point Set Surface Reconstruction for VTK (Doria D.)</title>
<link>http://www.insight-journal.org//browse/publication/713</link>
<description>This document presents a set of classes (vtkPointSetSurfaceReconstruction, vtkVoxelizePolyData) to produce a surface from an oriented point set. These classes are implemented as VTK filters. A Paraview plugin interface is provided to allow extremely easy experimentation with the new functionality. We propose these classes as an addition to the Visualization Toolkit.</description>
<pubDate>Wed, 31 Dec 1969 19:00:00 -0500</pubDate>
</item>
<item>
<title>A Wavefront OBJ Writer for VTK (Doria D.)</title>
<link>http://www.insight-journal.org//browse/publication/711</link>
<description>The Wavefront OBJ format is a common file format for storing mesh data. It is convenient to be able to write VTK data structures out into this format, as the data can then be used in software that can read OBJ files.</description>
<pubDate>Wed, 31 Dec 1969 19:00:00 -0500</pubDate>
</item>
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