Detail publikace

Segmentation of retinal layer structures on optical coherence tomography images

Originální název

Segmentation of retinal layer structures on optical coherence tomography images

Anglický název

Segmentation of retinal layer structures on optical coherence tomography images

Jazyk

en

Originální abstrakt

Segmentation of retinal layers from optical coherence tomography (OCT) images is useful to diagnose the progress of retinal diseases. OCT images are degraded by speckle noise and they must be smoothed before segmentation, e. g. by diffusion. This paper deals with the region-based level set method for segmentation of retinal layers. It can find them automatically by iterative process of numerical solution of partial differential equation. This method is very good for segmentation of noised images and it finds contour in discontinuity of layer boundary too. This is one of more advantages of segmentation by active contour, but this method is very dependent on settings of partial differential equation parameters, such as time step, etc. Incorrect values may cause unstable process.

Anglický abstrakt

Segmentation of retinal layers from optical coherence tomography (OCT) images is useful to diagnose the progress of retinal diseases. OCT images are degraded by speckle noise and they must be smoothed before segmentation, e. g. by diffusion. This paper deals with the region-based level set method for segmentation of retinal layers. It can find them automatically by iterative process of numerical solution of partial differential equation. This method is very good for segmentation of noised images and it finds contour in discontinuity of layer boundary too. This is one of more advantages of segmentation by active contour, but this method is very dependent on settings of partial differential equation parameters, such as time step, etc. Incorrect values may cause unstable process.

Dokumenty

BibTex


@inproceedings{BUT26660,
  author="Jan {Mikulka}",
  title="Segmentation of retinal layer structures on optical coherence tomography images",
  annote="Segmentation of retinal layers from optical coherence tomography (OCT) images is useful to diagnose the progress of retinal diseases. OCT images are degraded by speckle noise and they must be smoothed before segmentation, e. g. by diffusion. This paper deals with the region-based level set method for segmentation of retinal layers. It can find them automatically by iterative process of numerical solution of partial differential equation. This method is very good for segmentation of noised images and it finds contour in discontinuity of layer boundary too. This is one of more advantages of segmentation by active contour, but this method is very dependent on settings of partial differential equation parameters, such as time step, etc. Incorrect values may cause unstable process.",
  address="Ing. Zdeněk Novotný, CSc., Ondráčkova 105, 628 00 Brno",
  booktitle="EDS '08 IMAPS CS INTERNATIONAL CONFERENCE PROCEEDINGS",
  chapter="26660",
  howpublished="print",
  institution="Ing. Zdeněk Novotný, CSc., Ondráčkova 105, 628 00 Brno",
  year="2008",
  month="september",
  pages="82--88",
  publisher="Ing. Zdeněk Novotný, CSc., Ondráčkova 105, 628 00 Brno",
  type="conference paper"
}