Abstract
In this paper an automatic segmentation algorithm and a surface rendering technique for volumetric analysis of dural ectasia are presented. The segmentation algorithm, based on an unsupervised Fuzzy C-Means method, was applied on T2-weighed Magnetic Resonance images of 6 patients affected by Marfan Syndrome. The segmented images were then rendered using a marching cubes algorithm, a powerful technique producing very high-quality images. The proposed methodology is a preliminary step towards a morphological characterization of the pathological dilatation of the dura related to this particular autosomal disorder. The fidelity of the generated 3D reconstructions comes close to anatomical reality and provides the clinician with a tool for a panoramic view of the structures and a means for a more accurate diagnosis of ectasia.
Original language | English |
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Title of host publication | IFMBE Proceedings |
Pages | 898-901 |
Number of pages | 4 |
Volume | 25 |
Edition | 4 |
DOIs | |
Publication status | Published - 2009 |
Event | World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics - Munich, Germany Duration: Sep 7 2009 → Sep 12 2009 |
Other
Other | World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics |
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Country/Territory | Germany |
City | Munich |
Period | 9/7/09 → 9/12/09 |
Keywords
- Dural ectasia
- Fuzzy c-means
- Marching cubes
- Marfan syndrome
- Surface rendering
ASJC Scopus subject areas
- Biomedical Engineering
- Bioengineering