Geometrical model-based segmentation of the organs of sight on CT images

György Bekes, Eörs Máté, L. Nyúl, A. Kuba, Márta Fidrich

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

Segmentation of organs of sight such as the eyeballs, lenses, and optic nerves is a time consuming task for clinicians. The small size of the organs and the similar density of the surrounding tissues make the segmentation difficult. We developed a new algorithm to segment these organs with minimal user interaction. The algorithm needs only three seed points to fit an initial geometrical model to start an effective segmentation. The clinical evaluation shows that the output of our method is useful in clinical practice.

Original languageEnglish
Pages (from-to)735-743
Number of pages9
JournalMedical Physics
Volume35
Issue number2
DOIs
Publication statusPublished - 2008

Fingerprint

Organ Size
Optic Nerve
Lenses
Seeds

Keywords

  • CT imaging
  • Geometrical model
  • Image segmentation
  • Radiotherapy

ASJC Scopus subject areas

  • Biophysics

Cite this

Geometrical model-based segmentation of the organs of sight on CT images. / Bekes, György; Máté, Eörs; Nyúl, L.; Kuba, A.; Fidrich, Márta.

In: Medical Physics, Vol. 35, No. 2, 2008, p. 735-743.

Research output: Contribution to journalArticle

Bekes, György ; Máté, Eörs ; Nyúl, L. ; Kuba, A. ; Fidrich, Márta. / Geometrical model-based segmentation of the organs of sight on CT images. In: Medical Physics. 2008 ; Vol. 35, No. 2. pp. 735-743.
@article{3a0f065d0b9f4d71a88d8830b6fc24e9,
title = "Geometrical model-based segmentation of the organs of sight on CT images",
abstract = "Segmentation of organs of sight such as the eyeballs, lenses, and optic nerves is a time consuming task for clinicians. The small size of the organs and the similar density of the surrounding tissues make the segmentation difficult. We developed a new algorithm to segment these organs with minimal user interaction. The algorithm needs only three seed points to fit an initial geometrical model to start an effective segmentation. The clinical evaluation shows that the output of our method is useful in clinical practice.",
keywords = "CT imaging, Geometrical model, Image segmentation, Radiotherapy",
author = "Gy{\"o}rgy Bekes and E{\"o}rs M{\'a}t{\'e} and L. Ny{\'u}l and A. Kuba and M{\'a}rta Fidrich",
year = "2008",
doi = "10.1118/1.2826557",
language = "English",
volume = "35",
pages = "735--743",
journal = "Medical Physics",
issn = "0094-2405",
publisher = "AAPM - American Association of Physicists in Medicine",
number = "2",

}

TY - JOUR

T1 - Geometrical model-based segmentation of the organs of sight on CT images

AU - Bekes, György

AU - Máté, Eörs

AU - Nyúl, L.

AU - Kuba, A.

AU - Fidrich, Márta

PY - 2008

Y1 - 2008

N2 - Segmentation of organs of sight such as the eyeballs, lenses, and optic nerves is a time consuming task for clinicians. The small size of the organs and the similar density of the surrounding tissues make the segmentation difficult. We developed a new algorithm to segment these organs with minimal user interaction. The algorithm needs only three seed points to fit an initial geometrical model to start an effective segmentation. The clinical evaluation shows that the output of our method is useful in clinical practice.

AB - Segmentation of organs of sight such as the eyeballs, lenses, and optic nerves is a time consuming task for clinicians. The small size of the organs and the similar density of the surrounding tissues make the segmentation difficult. We developed a new algorithm to segment these organs with minimal user interaction. The algorithm needs only three seed points to fit an initial geometrical model to start an effective segmentation. The clinical evaluation shows that the output of our method is useful in clinical practice.

KW - CT imaging

KW - Geometrical model

KW - Image segmentation

KW - Radiotherapy

UR - http://www.scopus.com/inward/record.url?scp=38849194643&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=38849194643&partnerID=8YFLogxK

U2 - 10.1118/1.2826557

DO - 10.1118/1.2826557

M3 - Article

C2 - 18383695

AN - SCOPUS:38849194643

VL - 35

SP - 735

EP - 743

JO - Medical Physics

JF - Medical Physics

SN - 0094-2405

IS - 2

ER -