Medical image segmentation for virtual endoscopy

László Szilágyi, Z. Benyó, Sándor M. Szilágyi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationIFAC Proceedings Volumes (IFAC-PapersOnline)
Pages243-247
Number of pages5
Volume16
Publication statusPublished - 2005
Event16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005 - Prague, Czech Republic
Duration: Jul 3 2005Jul 8 2005

Other

Other16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005
CountryCzech Republic
CityPrague
Period7/3/057/8/05

Fingerprint

Endoscopy
Image segmentation
Image processing
Magnetic resonance
Image quality
Recovery

Keywords

  • Computer tomography
  • Fuzzy logic
  • Image reconstruction
  • Image segmentation
  • Medical applications

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Szilágyi, L., Benyó, Z., & Szilágyi, S. M. (2005). Medical image segmentation for virtual endoscopy. In IFAC Proceedings Volumes (IFAC-PapersOnline) (Vol. 16, pp. 243-247)

Medical image segmentation for virtual endoscopy. / Szilágyi, László; Benyó, Z.; Szilágyi, Sándor M.

IFAC Proceedings Volumes (IFAC-PapersOnline). Vol. 16 2005. p. 243-247.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Szilágyi, L, Benyó, Z & Szilágyi, SM 2005, Medical image segmentation for virtual endoscopy. in IFAC Proceedings Volumes (IFAC-PapersOnline). vol. 16, pp. 243-247, 16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005, Prague, Czech Republic, 7/3/05.
Szilágyi L, Benyó Z, Szilágyi SM. Medical image segmentation for virtual endoscopy. In IFAC Proceedings Volumes (IFAC-PapersOnline). Vol. 16. 2005. p. 243-247
Szilágyi, László ; Benyó, Z. ; Szilágyi, Sándor M. / Medical image segmentation for virtual endoscopy. IFAC Proceedings Volumes (IFAC-PapersOnline). Vol. 16 2005. pp. 243-247
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