May 2008
Volume 49, Issue 13
Free
ARVO Annual Meeting Abstract  |   May 2008
Automated Extraction of Optic Nerve Head Parameters From Spectral Domain Optical Coherence Tomography
Author Affiliations & Notes
  • J. Xu
    UPMC Eye Center, Eye and Ear Institute, Ophthalmology and Visual Science Research Center, Dept. of Ophthalmology, Univ. of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
  • H. Ishikawa
    UPMC Eye Center, Eye and Ear Institute, Ophthalmology and Visual Science Research Center, Dept. of Ophthalmology, Univ. of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
    Dept. of Bioengineering, Swanson School of Engineering, Univ. of Pittsburgh, Pittsburgh, Pennsylvania
  • G. Wollstein
    UPMC Eye Center, Eye and Ear Institute, Ophthalmology and Visual Science Research Center, Dept. of Ophthalmology, Univ. of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
  • K. Sung
    UPMC Eye Center, Eye and Ear Institute, Ophthalmology and Visual Science Research Center, Dept. of Ophthalmology, Univ. of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
  • J. Kim
    UPMC Eye Center, Eye and Ear Institute, Ophthalmology and Visual Science Research Center, Dept. of Ophthalmology, Univ. of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
    Dept. of Bioengineering, Swanson School of Engineering, Univ. of Pittsburgh, Pittsburgh, Pennsylvania
  • R. J. Noecker
    UPMC Eye Center, Eye and Ear Institute, Ophthalmology and Visual Science Research Center, Dept. of Ophthalmology, Univ. of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
  • J. S. Duker
    Tufts-New England Medical Center, Tufts Univ. School of Medicine, Boston, Maryland
  • L. Kagemann
    UPMC Eye Center, Eye and Ear Institute, Ophthalmology and Visual Science Research Center, Dept. of Ophthalmology, Univ. of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
    Dept. of Bioengineering, Swanson School of Engineering, Univ. of Pittsburgh, Pittsburgh, Pennsylvania
  • J. G. Fujimoto
    Dept. of Electrical Engineering and Computer Science and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts
  • J. S. Schuman
    UPMC Eye Center, Eye and Ear Institute, Ophthalmology and Visual Science Research Center, Dept. of Ophthalmology, Univ. of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
    Dept. of Bioengineering, Swanson School of Engineering, Univ. of Pittsburgh, Pittsburgh, Pennsylvania
  • Footnotes
    Commercial Relationships  J. Xu, None; H. Ishikawa, None; G. Wollstein, Carl Zeiss Meditec, Inc., F; Optovue, F; K. Sung, None; J. Kim, None; R.J. Noecker, Lumenis, R; Merck, R; Alcon, R; Allergan, R; Heidelberg engineering, R; J.S. Duker, None; L. Kagemann, None; J.G. Fujimoto, Optovue, F; Carl Zeiss Meditec, Inc., P; J.S. Schuman, Alcon, F; Allergan, F; Carl Zeiss Meditec, Inc., F; Merck, F; Heidelberg Engineering, F; Optovue, F; Carl Zeiss Meditec, Inc., P; Alcon, R; Allergan, R; Carl Zeiss Meditec, Inc., R; Merck, R; Heidelberg Engineering, R; Optovue, R.
  • Footnotes
    Support  NIH R01-EY013178-8, P30-EY008098, R01-EY011289-22; AFOSR FA9550-040-1-0011; NSF BES-0522845; Eye and Ear Foundation (Pittsburgh, PA); Research to Prevent Blindness.
Investigative Ophthalmology & Visual Science May 2008, Vol.49, 3658. doi:https://doi.org/
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    • Get Citation

      J. Xu, H. Ishikawa, G. Wollstein, K. Sung, J. Kim, R. J. Noecker, J. S. Duker, L. Kagemann, J. G. Fujimoto, J. S. Schuman; Automated Extraction of Optic Nerve Head Parameters From Spectral Domain Optical Coherence Tomography. Invest. Ophthalmol. Vis. Sci. 2008;49(13):3658. doi: https://doi.org/.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose: : To develop a fully automated system for optic nerve head (ONH) quantitative assessment from spectral domain optical coherence tomography (SDOCT) and to evaluate its performance in comparison with the existing ONH assessment techniques - Heidelberg Retina Tomograph (HRT) and Stratus OCT.

Methods: : Three dimensional OCT images were taken using SDOCT (Cirrus HD-OCT; Carl Zeiss Meditec, Inc. (CZMI), Dublin, CA). Enface images were generated by averaging the intensity values of each A-scan line. A deformable model technique was applied to the enface image to automatically extract the disc margin. Fully automated detection of the internal limiting membrane (ILM) and retinal pigment epithelial (RPE) layers was performed using a software program of our own design. Two points of the cup edge were automatically detected frame by frame and were defined as the cross points of the ONH surface and a reference line that was located 150 microns anterior to the tips of Bruch’s Membrane. The final cup margin was a smoothed contour computed from all cross points. Disc area, rim area, cup area, cup-to-disc (C/D) area ratio, vertical C/D ratio, rim volume and cup volume were computed and compared to corresponding HRT (Heidelberg Engineering, Heidelberg, Germany) and Stratus OCT (CZMI) measurements.

Results: : The right eye of each of 19 subjects was enrolled (17 healthy, and 2 glaucomatous eyes). All eyes had Cirrus OCT, HRT and Stratus OCT scanning within one month. SDOCT ONH measurements were statistically significantly smaller than both HRT and Stratus OCT measurements (p<0.002) except for C/D area and vertical ratio, which were similar to both devices, and cup area, which was similar to HRT. All automated SDOCT ONH measurements were moderately to highly and statistically significantly correlated with HRT (Pearson r correlation coefficient range: 0.50-0.93) and Stratus OCT (range: 0.81-0.95) measurements, except for rim volume (r=0.16 for HRT, p=0.52).

Conclusions: : Our newly developed software shows the potential to be useful for fully automated ONH assessment with SDOCT.

Clinical Trial: : www.clinicaltrials.gov NCT 00343746

Keywords: image processing • imaging/image analysis: clinical • imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound) 
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