Automated segmentation of optic nerve head for the topological assessment

M. W L Ko, C. K S Leung, T. Y P Yuen

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

2 Citations (Scopus)

Abstract

An automated method is proposed to detect the optic nerve head (ONH) surface profile for the three-dimensional reconstruction of the ONH surface topology and for the determination of the optic nerve head surface depth (ONHSD) and optic nerve head surface volume (ONHSV). The proposed automated method was evaluated in 15 optic disc center B-scans and was compared to the manual detection method. The results showed a good agreement between the measurement of ONHSD (0.7% ± 1.0%) and ONHSV (-1.4% ± 3.2%) using manual and automated ONH profile, respectively.

Original languageEnglish
Title of host publication2016 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509024858
DOIs
Publication statusPublished - Jul 5 2016
Event2016 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2016 - Madrid, Spain
Duration: Apr 4 2016Apr 9 2016

Other

Other2016 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2016
CountrySpain
CityMadrid
Period4/4/164/9/16

Fingerprint

Optic Disk
nerves
Optics
optics
profiles
topology
Topology

Keywords

  • optic nerve head
  • optical coherence tomography (OCT)
  • segmentation
  • topology

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging
  • Health Informatics
  • Instrumentation

Cite this

Ko, M. W. L., Leung, C. K. S., & Yuen, T. Y. P. (2016). Automated segmentation of optic nerve head for the topological assessment. In 2016 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2016 [7504611] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GMEPE-PAHCE.2016.7504611

Automated segmentation of optic nerve head for the topological assessment. / Ko, M. W L; Leung, C. K S; Yuen, T. Y P.

2016 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7504611.

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

Ko, MWL, Leung, CKS & Yuen, TYP 2016, Automated segmentation of optic nerve head for the topological assessment. in 2016 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2016., 7504611, Institute of Electrical and Electronics Engineers Inc., 2016 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2016, Madrid, Spain, 4/4/16. https://doi.org/10.1109/GMEPE-PAHCE.2016.7504611
Ko MWL, Leung CKS, Yuen TYP. Automated segmentation of optic nerve head for the topological assessment. In 2016 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7504611 https://doi.org/10.1109/GMEPE-PAHCE.2016.7504611
Ko, M. W L ; Leung, C. K S ; Yuen, T. Y P. / Automated segmentation of optic nerve head for the topological assessment. 2016 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2016. Institute of Electrical and Electronics Engineers Inc., 2016.
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