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Geometrical model‐based segmentation of the organs of sight on CT images
Author(s) -
Bekes György,
Máté Eörs,
Nyúl László G.,
Kuba Attila,
Fidrich Márta
Publication year - 2008
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.2826557
Subject(s) - medical imaging , computer vision , image segmentation , segmentation , artificial intelligence , computed tomography , sight , computer science , tomography , radiology , medical physics , medicine , physics , optics
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.