April 2010
Volume 51, Issue 13
Free
ARVO Annual Meeting Abstract  |   April 2010
3-D Textural Analysis of Intraretinal Layers in Macula-Centered SD-OCT Volumes From Neovascular AMD Patients
Author Affiliations & Notes
  • P. Gupta
    Ophthalmology & Visual Sciences, University of Iowa Hospitals & Clinics, Iowa City, Iowa
    Ophthalmology, VAMC, Iowa City, Iowa
  • G. Quellec
    Ophthalmology & Visual Sciences, University of Iowa Hospitals & Clinics, Iowa City, Iowa
    Image and Image Processing, Institut Telecom, Telecom Bretagne, Brest, France
  • K. Lee
    Electrical & Computer Engineering, University of Iowa, Iowa City, Iowa
  • M. Dolejsi
    Electrical & Computer Engineering, University of Iowa, Iowa City, Iowa
  • M. K. Garvin
    Electrical & Computer Engineering, University of Iowa, Iowa City, Iowa
  • M. Sonka
    Ophthalmology & Visual Sciences, University of Iowa Hospitals & Clinics, Iowa City, Iowa
  • M. D. Abramoff, Sr.
    Ophthalmology & Visual Sciences, University of Iowa Hospitals & Clinics, Iowa City, Iowa
    Ophthalmology, VAMC, Iowa City, Iowa
  • Footnotes
    Commercial Relationships  P. Gupta, None; G. Quellec, None; K. Lee, None; M. Dolejsi, None; M.K. Garvin, None; M. Sonka, Patent, P; M.D. Abramoff, Sr., Patent, P.
  • Footnotes
    Support  NIH R01s EY018853, EB004640, EY017066, RPB
Investigative Ophthalmology & Visual Science April 2010, Vol.51, 1785. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      P. Gupta, G. Quellec, K. Lee, M. Dolejsi, M. K. Garvin, M. Sonka, M. D. Abramoff, Sr.; 3-D Textural Analysis of Intraretinal Layers in Macula-Centered SD-OCT Volumes From Neovascular AMD Patients. Invest. Ophthalmol. Vis. Sci. 2010;51(13):1785.

      Download citation file:


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

      ×
  • Supplements
Abstract

Purpose: : To determine the diagnostic potential of texture and thickness properties of intraretinal layers outside of fluid-filled regions by Spectral-Domain Optical Coherence Tomography (SD-OCT) volumes in neovascular Age-Related Macular Degeneration (AMD).

Methods: : 91 macula-centered SD-OCT volumes (200x200x1024 voxels, 6x6x2 mm3) were obtained from 13 normal (13 scans) and 26 neovascular AMD eyes (78 scans) using Cirrus HD-OCT machines (Carl Zeiss Meditec, Inc., Dublin, CA). 10 intraretinal layers were automatically segmented in each volume using a 3-D multi-layer graph search-based approach. 23 features were extracted locally in each layer, within vertical columns of 0.3x0.3 mm2 square base: the average and standard deviation of layer thickness, intensity level distribution features, run length features, co-occurrence matrix features and wavelet analysis features. The distribution of these features across the 9 AREDS macular subfields (center circle, inner/outer nasal, temporal, superior and inferior subfields), were compared in each layer using a Kolmogoroff-Smirnov (K-S) test. The footprint of fluid-filled regions was manually annotated in AMD eyes, then removed from the analysis.

Results: : A significant difference was observed between normal and AMD in each subfield and in most layers for 22 of these 23 features; no difference was observed for the kurtosis of low-frequency wavelet coefficients. An average K-S statistic (D) greater than 0.4 was measured for 4 features across all layers and subfields: the average intensity (D=0.507), the standard deviation of the highest frequency wavelet coefficients (D=0.447), as well as the 2 co-occurrence analysis features of inertia (D=0.441) and correlation (D=0.424). The thickness of the layers ranked amongst the least discriminant features (average: D=0.318, standard deviation: D=0.263). Across all features, the largest differences between AMD and normal were detected in the 4 inner subfields for the connecting cilia, inner plexiform, and outer segment layers.

Conclusions: : 3-D texture analysis of intraretinal layers in macula-centered SD-OCT volumes provides clinically useful metrics, and may be more discriminant than the parameter that is easiest to assess clinically: layer thickness. Texture analysis has the potential to improve management of patients with neovascular AMD undergoing treat-and-extend anti-VEGF injections.

Keywords: imaging/image analysis: clinical • age-related macular degeneration • imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound) 
×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×