Medical Image Segmentation for Virtual Endoscopy
| Authors: | Szilagyi Laszlo, Budapest University of Technology and Economics, Hungary
Benyo Zoltan, Budapest University of Technology and Economics, Hungary
Szilagyi Sandor Miklos, Sapientia – Hungarian Science University of Transylvania, Marosvasarhely, Romania, Romania |
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| Topic: | 8.2 Modelling & Control of Biomedical Systems |
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| Session: | Biomedical Engineering / Biomedical Signal Processing II |
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| Keywords: | image segmentation, fuzzy logic, image reconstruction, medical applications, computer tomography |
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Abstract
This paper presents new concepts in the design and implementation of a virtual endoscope. Starting from standard magnetic resonance images, and applying a two-step image processing, inner views of the human body can be obtained, even of such parts of the body, which cannot be penetrated by a traditional endoscope. The first step of the image processing consists in an enhanced version of the fuzzy C-means segmentation. Then a shape recovery algorithm is employed in order to reconstruct the 3-D object. The algorithms provide good-quality segmented images a very quick way, which makes them excellent tools to support a virtual endoscopy
