<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN"> <html><head><meta name="robots" content="noindex"> <meta http-equiv="Content-Type" content="text/html;charset=iso-8859-1"> <title>ITK: Objects Related to Tensor Images</title> <link href="DoxygenStyle.css" rel="stylesheet" type="text/css"> </head><body bgcolor="#ffffff"> <!-- Section customized for INSIGHT : Tue Jul 17 01:02:45 2001 --> <center> <a href="index.html" class="qindex">Main Page</a> <a href="modules.html" class="qindex">Groups</a> <a href="namespaces.html" class="qindex">Namespace List</a> <a href="hierarchy.html" class="qindex">Class Hierarchy</a> <a href="classes.html" class="qindex">Alphabetical List</a> <a href="annotated.html" class="qindex">Compound List</a> <a href="files.html" class="qindex">File List</a> <a href="namespacemembers.html" class="qindex">Namespace Members</a> <a href="functions.html" class="qindex">Compound Members</a> <a href="globals.html" class="qindex">File Members</a> <a href="pages.html" class="qindex">Concepts</a></center> <!-- Generated by Doxygen 1.5.9 --> <div class="contents"> <h1>Objects Related to Tensor Images</h1> <p> <div class="dynheader"> Collaboration diagram for Objects Related to Tensor Images:</div> <div class="dynsection"> <center><table><tr><td><img src="group__TensorObjects.png" border="0" alt="" usemap="#group____TensorObjects_map"> <map name="group____TensorObjects_map"> <area shape="rect" id="node1" href="group__Multithreaded.html" title="Multithreaded Filters" alt="" coords="684,73,844,103"><area shape="rect" id="node2" href="group__IntensityImageFilters.html" title="Intensity Image Filters" alt="" coords="677,208,851,237"><area shape="rect" id="node3" href="group__ImageObjects.html" title="Image Representation Objects" alt="" coords="649,273,879,303"><area shape="rect" id="node4" href="group__Geometry.html" title="Geometry Representation Objects" alt="" coords="636,339,892,368"></map></td></tr></table></center> </div> <table border="0" cellpadding="0" cellspacing="0"> <tr><td></td></tr> <tr><td colspan="2"><br><h2>Classes</h2></td></tr> <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1DiffusionTensor3D.html">itk::DiffusionTensor3D< TComponent ></a></td></tr> <tr><td class="mdescLeft"> </td><td class="mdescRight">Represent a diffusion tensor as used in DTI images. <a href="classitk_1_1DiffusionTensor3D.html#_details">More...</a><br></td></tr> <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1DiffusionTensor3DReconstructionImageFilter.html">itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType ></a></td></tr> <tr><td class="mdescLeft"> </td><td class="mdescRight">This class takes as input one or more reference image (acquired in the absence of diffusion sensitizing gradients) and 'n' diffusion weighted images and their gradient directions and computes an image of tensors. (with <a class="el" href="classitk_1_1DiffusionTensor3D.html" title="Represent a diffusion tensor as used in DTI images.">DiffusionTensor3D</a> as the pixel type). Once that is done, you can apply filters on this tensor image to compute FA, ADC, RGB weighted maps etc. <a href="classitk_1_1DiffusionTensor3DReconstructionImageFilter.html#_details">More...</a><br></td></tr> <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Hessian3DToVesselnessMeasureImageFilter.html">itk::Hessian3DToVesselnessMeasureImageFilter< TPixel ></a></td></tr> <tr><td class="mdescLeft"> </td><td class="mdescRight">Line filter to provide a vesselness measure for tubular objects from the hessian matrix. The filter takes as input an image of hessian pixels (<a class="el" href="classitk_1_1SymmetricSecondRankTensor.html" title="Represent a symmetric tensor of second rank.">SymmetricSecondRankTensor</a> pixels) and preserves pixels that have eigen values <img class="formulaInl" alt="$ \lambda_3 $" src="form_99.png"> close to 0 and <img class="formulaInl" alt="$\lambda_2$" src="form_100.png"> and <img class="formulaInl" alt="$\lambda_1$" src="form_101.png"> as large negative values. (for bright tubular structures). <a href="classitk_1_1Hessian3DToVesselnessMeasureImageFilter.html#_details">More...</a><br></td></tr> <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classHessianObjectnessMeasureImageFilter.html">HessianObjectnessMeasureImageFilter</a></td></tr> <tr><td class="mdescLeft"> </td><td class="mdescRight"><a class="el" href="classA.html">A</a> filter to enhance M-dimensional objects in N-dimensional images. <a href="classHessianObjectnessMeasureImageFilter.html#_details">More...</a><br></td></tr> <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1MultiScaleHessianBasedMeasureImageFilter.html">itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage ></a></td></tr> <tr><td class="mdescLeft"> </td><td class="mdescRight"><a class="el" href="classA.html">A</a> filter to enhance structures using Hessian eigensystem-based measures in a multiscale framework. <a href="classitk_1_1MultiScaleHessianBasedMeasureImageFilter.html#_details">More...</a><br></td></tr> <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1SymmetricEigenAnalysisImageFilter.html">itk::SymmetricEigenAnalysisImageFilter< TInputImage, TOutputImage ></a></td></tr> <tr><td class="mdescLeft"> </td><td class="mdescRight">Computes the eigen-values of every input symmetric matrix pixel. <a href="classitk_1_1SymmetricEigenAnalysisImageFilter.html#_details">More...</a><br></td></tr> <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1SymmetricSecondRankTensor.html">itk::SymmetricSecondRankTensor< TComponent, NDimension ></a></td></tr> <tr><td class="mdescLeft"> </td><td class="mdescRight">Represent a symmetric tensor of second rank. <a href="classitk_1_1SymmetricSecondRankTensor.html#_details">More...</a><br></td></tr> <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1TensorFractionalAnisotropyImageFilter.html">itk::TensorFractionalAnisotropyImageFilter< TInputImage, TOutputImage ></a></td></tr> <tr><td class="mdescLeft"> </td><td class="mdescRight">Computes the Fractional Anisotropy for every pixel of a input tensor image. <a href="classitk_1_1TensorFractionalAnisotropyImageFilter.html#_details">More...</a><br></td></tr> <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1TensorRelativeAnisotropyImageFilter.html">itk::TensorRelativeAnisotropyImageFilter< TInputImage, TOutputImage ></a></td></tr> <tr><td class="mdescLeft"> </td><td class="mdescRight">Computes the Relative Anisotropy for every pixel of a input tensor image. <a href="classitk_1_1TensorRelativeAnisotropyImageFilter.html#_details">More...</a><br></td></tr> </table> <hr><a name="_details"></a><h2>Detailed Description</h2> This category includes the objects required for representing diffusion tensor images in ITK. </div> <hr><address><small> Generated at Fri May 8 00:42:57 2009 for ITK by <a href="http://www.stack.nl/~dimitri/doxygen/index.html"> <img src="http://www.stack.nl/~dimitri/doxygen/doxygen.png" alt="doxygen" align="middle" border=0 width=110 height=53> </a> 1.5.9 written by <a href="mailto:dimitri@stack.nl">Dimitri van Heesch</a>, © 1997-2000</small></address> </body> </html>
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