CRF-based segmentation of human tear meniscus obtained with optical coherence tomography

Gabriel Tsechpenakis, Jianhua Wang

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

4 Scopus citations

Abstract

The dynamic variation of the human tear meniscus (tears around the eye lids) is very critical in visual function, maintenance of corneal integrity, and ocular comfort. The quantitative measuring of the tear menisci around the eyelids is though a challenging task. In our work, tear meniscus images are obtained with our custom-built Optical Coherence Tomography (OCT) and are processed using our novel segmentation method. For the latter, we use an implicit deformable model driven by a Conditional Random Field (CRF). The evolution of the model is solved as MAP estimation. The target conditional probability is decomposed using a simple graphical model, where the probability field of the pixel labels given the image observations is estimated using a discriminative CRF. Our results show that our segmentation approach successfully handles clutter and boundary ambiguities of the tear menisci, which makes our integrated system reliable for the every day medical practice.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings
PublisherIEEE Computer Society
PagesV509-V512
ISBN (Print)1424414377, 9781424414376
DOIs
StatePublished - Jan 1 2007
Event14th IEEE International Conference on Image Processing, ICIP 2007 - San Antonio, TX, United States
Duration: Sep 16 2007Sep 19 2007

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume5
ISSN (Print)1522-4880

Other

Other14th IEEE International Conference on Image Processing, ICIP 2007
CountryUnited States
CitySan Antonio, TX
Period9/16/079/19/07

Keywords

  • CRF-based segmentation
  • Deformable models
  • Optical coherence tomography
  • Tear meniscus

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Tsechpenakis, G., & Wang, J. (2007). CRF-based segmentation of human tear meniscus obtained with optical coherence tomography. In 2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings (pp. V509-V512). [4379877] (Proceedings - International Conference on Image Processing, ICIP; Vol. 5). IEEE Computer Society. https://doi.org/10.1109/ICIP.2007.4379877