You are here

Címlap » Organ segmentation from 3D CT images

Organ segmentation from 3D CT images

Key members: 
László G. Nyúl
Eörs Máté
Kálmán Palágyi
Attila Kuba
Founded by: 
GE Medical Systems
Partners: 

Clinical Software Engineering, GE HealthCare (Márta Fidrich)

Lifetime from: 
2000
Lifetime to: 
2004
Short description: 
Study and development of image segmentation algorithms for different organs from CT images for radiotherapy planning purposes.
Description: 

Segmentation of the following organs were addressed:

  • Spinal cord
  • Kidneys
  • Liver
  • Spleen
  • Prostate
  • Bladder
  • Eye ball, lens, optic nerve
Publications: 
Nyúl LG, Kanyó J, Máté E, Makay G, Balogh E, Fidrich M, et al. Method for automatically segmenting the spinal cord and canal from 3D CT images. In: Gagalowitz A, Philips W, editors. Computer Analysis of Images and Patterns. Berlin; Heidelberg: Springer-Verlag; 2005. 4. p. 456-463p.
Bekes G, Nyúl LG, Máté E, Kuba A, Fidrich M. 3D segmentation of liver, kidneys and spleen from CT images. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY. 2007;2(1 SUPPL.):S45-S47.
Bekes G, Máté E, Nyúl LG, Kuba A, Fidrich M. Geometrical model-based segmentation of the organs of sight on CT images. MEDICAL PHYSICS. 2008;35(2):735-743.
Kategória: 
Medical Applications
Segmentation