Coherence Filtering to Enhance the Mandibular Canal in Cone-Beam CT data

Dirk-Jan Kroon, Cornelis H. Slump

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Segmenting the mandibular canal from cone beam CT data, is difficult due to low edge contrast and high image noise. We introduce 3D coherence filtering as a method to close the interrupted edges and denoise the structure of the mandibular canal. Coherence Filtering is an anisotropic non-linear tensor based diffusion algorithm for edge enhancing image filtering. We test different numerical schemes of the tensor diffusion equation, non-negative, standard discretization and also a rotation invariant scheme of Weickert [1]. Only the scheme of Weickert did not blur the high spherical images frequencies on the image diagonals of our test volume. Thus this scheme is chosen to enhance the small curved mandibular canal structure. The best choice of the diffusion equation parameters c1 and c2, depends on the image noise. Coherence filtering on the CBCT-scan works well, the noise in the mandibular canal is gone and the edges are connected. Because the algorithm is tensor based it cannot deal with edge joints or splits, thus is less fit for more complex image structures.
Original languageUndefined
Title of host publicationProceedings of the 4th Annual Symposium of the IEEE-EMBS Benelux Chapter
Place of PublicationEnschede
PublisherIEEE EMBS Benelux Chapter
Number of pages4
ISBN (Print)978-90-365-2933-4
Publication statusPublished - 2009
Event4th Annual Symposium of the Benelux Chapter of the IEEE Engineering in Medicine and Biology Society (IEEE-EMBS Benelux) 2009 - University of Twente, Enschede, Netherlands
Duration: 9 Nov 200910 Nov 2009
Conference number: 4

Publication series

PublisherIEEE-EMBS Benelux Chapter


Conference4th Annual Symposium of the Benelux Chapter of the IEEE Engineering in Medicine and Biology Society (IEEE-EMBS Benelux) 2009


  • METIS-268965
  • Coherence Filtering
  • Mandibular Canal
  • Cone-beam CT
  • EWI-18439
  • Diffusion Filtering
  • Image Filtering
  • Image Processing
  • IR-73094

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