July 2019
Volume 60, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2019
Deformation Analysis of 3D Optic Cup Surface in Healthy and Glaucoma Patients
Author Affiliations & Notes
  • Hidemasa Muta
    IBM Research - Australia, Melbourne, Victoria, Australia
  • Bhavna Antony
    IBM Research - Australia, Melbourne, Victoria, Australia
  • Kerry Halupka
    IBM Research - Australia, Melbourne, Victoria, Australia
  • Suman Sedai
    IBM Research - Australia, Melbourne, Victoria, Australia
  • Hiroshi Ishikawa
    NYU Langone Health, NYU Eye Center, New York, New York, United States
  • Gadi Wollstein
    NYU Langone Health, NYU Eye Center, New York, New York, United States
  • Joel S Schuman
    NYU Langone Health, NYU Eye Center, New York, New York, United States
  • Footnotes
    Commercial Relationships   Hidemasa Muta, IBM Australia Limited (E); Bhavna Antony, IBM Australia Limited (E); Kerry Halupka, IBM Australia Limited (E); Suman Sedai, IBM Australia Limited (E); Hiroshi Ishikawa, None; Gadi Wollstein, None; Joel Schuman, Zeiss (P)
  • Footnotes
    Support  R01-EY013178
Investigative Ophthalmology & Visual Science July 2019, Vol.60, 1273. doi:https://doi.org/
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Hidemasa Muta, Bhavna Antony, Kerry Halupka, Suman Sedai, Hiroshi Ishikawa, Gadi Wollstein, Joel S Schuman; Deformation Analysis of 3D Optic Cup Surface in Healthy and Glaucoma Patients. Invest. Ophthalmol. Vis. Sci. 2019;60(9):1273. doi: https://doi.org/.

      Download citation file:


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

      ×
  • Supplements
Abstract

Purpose : To extract the deformation field at the optic cup using coherent point drift non-rigid registration on the 3D internal limiting membrane (ILM) surface extracted from the optical coherence tomography (OCT) volumes.

Methods : Optic nerve head (ONH) OCT volumes (Cirrus HD-OCT, 200x200 ONH cube, Zeiss, Dublin, CA) were acquired on both eyes of healthy and glaucoma subjects (10 subjects for each group). For each subject, another scan was acquired a year later (> 365 days and < 395 days). First, speckle noise was removed from the volumes using a previously published deep learning-based image enhancement method. The 3D ILM surface was then extracted automatically using another deep learning-based segmentation in both volumes as 3D point sets and rigidly registered using signature of histograms of orientations (SHOT) feature descriptor matching and iterative closest point (ICP) in order to bring the images into the same reference frame. The peripheral regions of the registered surfaces were excluded from the subsequent non-rigid registration step. Coherent point drift (CPD) was then used to quantify the deformation at the optic cup on the 3D ILM surface point set. The maximum and average absolute deformation amount in the superior, inferior, temporal and nasal quadrants were measured for each subject, and statistically compared between the three cohorts.

Results : The registration results were illustrated as deformation vectors with colour graduation in Fig. 1. The POAG subjects showed statistically significantly higher mean absolute deformation than healthy subjects 0.027mm (standard deviation=0.020mm) vs. 0.013mm (SD=0.0050mm) (p < 0.001). The maximum deformation in the superior quadrant was also found to be significantly (p < 0.001) larger in the POAG patients than the healthy subjects.

Conclusions : The reported novel OCT registration system successfully quantified the deformations at the optic cup in longitudinal OCT volumes. This allows us to monitor and track localized changes in optic cup that may lead to uncovering the association between the spatial optic cup deformation pattern and visual field deterioration.

This abstract was presented at the 2019 ARVO Annual Meeting, held in Vancouver, Canada, April 28 - May 2, 2019.

 

Fig.1. Deformation vectors with colour graduation on ILM top surfaces

Fig.1. Deformation vectors with colour graduation on ILM top surfaces

×
×

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.

×