MEDICAL IMAGE SEGMENTATION FOR VIRTUAL ENDOSCOPY

@inproceedings{Szilgyi2005MEDICALIS,
  title={MEDICAL IMAGE SEGMENTATION FOR VIRTUAL ENDOSCOPY},
  author={L{\'a}szl{\'o} Szil{\'a}gyi and Zolt{\'a}n Beny{\'o} and S{\'a}ndor M. Szil{\'a}gyi},
  year={2005}
}
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… CONTINUE READING

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