Objects Related to Tensor Images
Collaboration diagram for Objects Related to Tensor Images:
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Classes | |
| class | itk::DiffusionTensor3D< TComponent > |
| Represent a diffusion tensor as used in DTI images. More... | |
| class | itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType > |
| 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 DiffusionTensor3D as the pixel type). Once that is done, you can apply filters on this tensor image to compute FA, ADC, RGB weighted maps etc. More... | |
| class | itk::Hessian3DToVesselnessMeasureImageFilter< TPixel > |
Line filter to provide a vesselness measure for tubular objects from the hessian matrix. The filter takes as input an image of hessian pixels (SymmetricSecondRankTensor pixels) and preserves pixels that have eigen values  close to 0 and  and  as large negative values. (for bright tubular structures). More... | |
| class | itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage > |
| A filter to enhance M-dimensional objects in N-dimensional images. More... | |
| class | itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage > |
| A filter to enhance structures using Hessian eigensystem-based measures in a multiscale framework. More... | |
| class | itk::SymmetricEigenAnalysisImageFilter< TInputImage, TOutputImage > |
| Computes the eigen-values of every input symmetric matrix pixel. More... | |
| class | itk::SymmetricSecondRankTensor< TComponent, NDimension > |
| Represent a symmetric tensor of second rank. More... | |
| class | itk::TensorFractionalAnisotropyImageFilter< TInputImage, TOutputImage > |
| Computes the Fractional Anisotropy for every pixel of a input tensor image. More... | |
| class | itk::TensorRelativeAnisotropyImageFilter< TInputImage, TOutputImage > |
| Computes the Relative Anisotropy for every pixel of a input tensor image. More... | |
