Abstract
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 language | Undefined |
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Title of host publication | Proceedings of the 4th Annual Symposium of the IEEE-EMBS Benelux Chapter |
Place of Publication | Enschede |
Publisher | IEEE EMBS Benelux Chapter |
Pages | 41-44 |
Number of pages | 4 |
ISBN (Print) | 978-90-365-2933-4 |
Publication status | Published - 2009 |
Event | 4th 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 2009 → 10 Nov 2009 Conference number: 4 |
Publication series
Name | |
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Publisher | IEEE-EMBS Benelux Chapter |
Conference
Conference | 4th Annual Symposium of the Benelux Chapter of the IEEE Engineering in Medicine and Biology Society (IEEE-EMBS Benelux) 2009 |
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Country/Territory | Netherlands |
City | Enschede |
Period | 9/11/09 → 10/11/09 |
Keywords
- METIS-268965
- Coherence Filtering
- Mandibular Canal
- Cone-beam CT
- EWI-18439
- Diffusion Filtering
- Image Filtering
- Image Processing
- IR-73094