July 2018
Volume 59, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2018
Computerized Texture Analysis of Choriocapillaris in Optical Coherence Tomography Angiography Images
Author Affiliations & Notes
  • Asadolah Movahedan
    Ophthalmology, The University of Chicago, Chicago, Illinois, United States
  • Lindsay Chun
    University of Chicago, Chicago, Illinois, United States
  • Phillip Vargas
    Radiology, The University of Chicago, Chicago, Illinois, United States
  • Claire Smith
    University of Chicago, Chicago, Illinois, United States
  • Patrick La Riviere
    Radiology, The University of Chicago, Chicago, Illinois, United States
  • Dimitra Skondra
    Ophthalmology, The University of Chicago, Chicago, Illinois, United States
  • Footnotes
    Commercial Relationships   Asadolah Movahedan, None; Lindsay Chun, None; Phillip Vargas, None; Claire Smith, None; Patrick La Riviere, MetriTrack Inc (C), MetriTrack Inc (I), US Patent 6,272,200- Fourier and spline-based reconstruction of helical CT images (P), US Patent 9,437,016 - Image Domain Pansharpening Method And System For Spectral CT With Large Pixel Energy Discriminating Detectors (P), US Patent 9,513,233 - Color x-ray histology for multi-stained biologic sample (P), US Patent 9,672,638- Spectral x-ray computed tomography reconstruction using a vectorial total variation (P), US Patent publication 20150043796. Domain Pansharpening Method And System For Spectral CT. Filed: August 7, 2013. (P); Dimitra Skondra, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science July 2018, Vol.59, 2881. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Asadolah Movahedan, Lindsay Chun, Phillip Vargas, Claire Smith, Patrick La Riviere, Dimitra Skondra; Computerized Texture Analysis of Choriocapillaris in Optical Coherence Tomography Angiography Images. Invest. Ophthalmol. Vis. Sci. 2018;59(9):2881.

      Download citation file:


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

      ×
  • Supplements
Abstract

Purpose : Quantitative analysis of choriocapillaris in optical coherence tomography angiography (OCTA) is challenging and has been mostly based on binary analysis of lighter versus darker pixels. Computerized texture analysis has been used in other medical imaging areas and allows discrimination of higher-order patterns in image data, including inter-pixel correlation, skew, and coarseness. We investigated the feasibility of applying this technique to OCTA images of choriocapillaris in normal subjects to extract quantitative metrics representing vascular patterns and perfusion.

Methods : Observational cross-sectional study involving young healthy subjects with refractive error range from -1D to +1D. RTVue-XR Avanti was used to obtain en-face 3x3mm OCTA images of superficial choriocapillaris using automated segmentation. Images were analyzed using computerized texture-analysis software to extract texture features in five categories based on: 1) absolute value of gray levels (average gray level, gray level yielding 70% threshold or 30% threshold of the area under the histogram; 2) gray-level histogram analysis (balance and skewness); 3) spatial relationship among gray levels (coarseness, contrast, energy, entropy); 4) edge frequency (mean gradient as a function of distance between pixels); 5) fourier transform analysis (root-mean-square variation [RMS], first moment of power spectrum [FMP]).

Results : Nineteen eyes of 10 young, healthy white subjects (3 men and 7 women) with age of 24.7± 2.5 yrs were included. The mean and standard deviation from mean were measured to assess the distribution and dispersion of data points in each metric among eyes as follows: Average gray level: 106.80 ± 4.8, gray level yielding 70% threshold: 78.3 ±4.2, 30% threshold: 130.89 ±6.3, balance: -0.96 0±0.005, skewness: 0.30± 0.09, energy: 0.01± 0.0005, entropy: 5.28± 0.055, contrast: 248156.4 ±23327.2, edge mean gradient: 0.03±0.035, RMS: 16086715.5± 447937, FMP: 0.04 ±0.001.

Conclusions : To our knowledge, this is the first report using computerized texture analysis for en-face OCTA choriocapillaris images, showing it is feasible providing values that are coherent and tightly distributed around the mean (except for mean gradient) in a homogeneous healthy group. The next step is characterizing how well such analysis allows for discrimination of normal and abnormal vascular patterns.

This is an abstract that was submitted for the 2018 ARVO Annual Meeting, held in Honolulu, Hawaii, April 29 - May 3, 2018.

×
×

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.

×