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Frangi method of computing a probability of vessel occurence from CT DICOM image

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FrangiFilter

In this repository you can find an implementation of Frangi method for computing a probability of vessel appearance from 3D CT DICOM image.

The main steps of app execution:

  • reading 3D CT image in DICOM format by ITK (Insight ToolKit) librar
  • image noise is smoothed by gaussian filter from ITK
  • in parallel loop (OpenMP) it initializes:
    1. a central voxel
    2. its backward, forward and central nearest neighbours (26 ones)
    3. data structures for Hessian matrix (that corresponds the central voxel), eigenvector matrix and eigenvalue vector.
  • solving the eigen problem
  • computing vesselness function (see Frangi paper), i.e. a probability of that central voxel corresponds to a vessel
  • writing an image with vesselness

Here is an image with vesselness. You may notice that hear is also detected. result image1

result image2

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Frangi method of computing a probability of vessel occurence from CT DICOM image

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