Feature extraction method for neuro-sensory retinal layer segmentation using statistical estimation in optical coherence tomography

Yeong Mun Cha, Geown Yih, Xuan Gong, Yiyu Chen, Jae Ho Han

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

Abstract

We have developed statistical estimation based feature extraction methods for layer segmentation of neuro-sensory retinal images obtained from optical coherence tomography. For clinical diagnosis purposes, a compact functional layer differentiation is targeted in this system so that an upgraded model for the statistical edge detector is considered. Initially, by iteratively searching the maximum edges in regular scopes of A-scans of the image, rough locations of interfaces are found. Then, assigning locational information in sequence to the detected edges, the interfacial locations are accurately detected. The proposed system has been successfully developed for identifying eight retinal layers and the accuracy is much comparable to the commercial equipment. With progressive improvement, we believe that this system will extensively provide the most practical application for various quantitative analyses in clinical diagnoses.

Original languageEnglish
Title of host publication2014 International Winter Workshop on Brain-Computer Interface, BCI 2014
PublisherIEEE Computer Society
DOIs
Publication statusPublished - 2014 Jan 1
Event2014 International Winter Workshop on Brain-Computer Interface, BCI 2014 - Gangwon, Korea, Republic of
Duration: 2014 Feb 172014 Feb 19

Other

Other2014 International Winter Workshop on Brain-Computer Interface, BCI 2014
CountryKorea, Republic of
CityGangwon
Period14/2/1714/2/19

Keywords

  • Feature extraction
  • image processing
  • object detection
  • optical coherence tomography

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Human Factors and Ergonomics

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  • Cite this

    Cha, Y. M., Yih, G., Gong, X., Chen, Y., & Han, J. H. (2014). Feature extraction method for neuro-sensory retinal layer segmentation using statistical estimation in optical coherence tomography. In 2014 International Winter Workshop on Brain-Computer Interface, BCI 2014 [6782559] IEEE Computer Society. https://doi.org/10.1109/iww-BCI.2014.6782559