June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
Quantification of choroidal Haller’s sublayer vasculature in 3D based on wide-field SS-OCT scans using 3D tensor voting and geometric modeling
Author Affiliations & Notes
  • Mohammed Nasar Ibrahim
    Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States
  • Sumit Singh
    Nilima Sinha Medical College & Hospital, India
  • SARFORAZ BIN BASHAR
    Manzoor Alam Optician, Kolkatta, West Bengal, India
  • Amrish Selvam
    University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States
  • Anindya Samanta
    Texas Tech University Health Sciences Center, Lubbock, Texas, United States
  • Mohammed Abdul Rasheed
    University of Waterloo, Waterloo, Ontario, Canada
  • Vinisha Sant
    University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States
  • Jose Alain Sahel
    Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States
  • Soumya Jana
    Indian Institute of Technology Hyderabad, Hyderabad, Telangana, India
  • Jay Chhablani
    Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States
  • Kiran Kumar Vupparaboina
    Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States
  • Footnotes
    Commercial Relationships   Mohammed Nasar Ibrahim None; Sumit Singh None; SARFORAZ BASHAR None; Amrish Selvam None; Anindya Samanta None; Mohammed Abdul Rasheed None; Vinisha Sant None; Jose Sahel GENSIGHT-BIOLOGICS.COM, Code C (Consultant/Contractor); Soumya Jana None; Jay Chhablani None; Kiran Vupparaboina None
  • Footnotes
    Support  This work was supported by NIH CORE Grant P30 EY08098 to the Department of Ophthalmology, the Eye and Ear Foundation of Pittsburgh, and from an unrestricted grant from Research to Prevent Blindness, New York, NY.
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 2068 – F0057. doi:
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      Mohammed Nasar Ibrahim, Sumit Singh, SARFORAZ BIN BASHAR, Amrish Selvam, Anindya Samanta, Mohammed Abdul Rasheed, Vinisha Sant, Jose Alain Sahel, Soumya Jana, Jay Chhablani, Kiran Kumar Vupparaboina; Quantification of choroidal Haller’s sublayer vasculature in 3D based on wide-field SS-OCT scans using 3D tensor voting and geometric modeling. Invest. Ophthalmol. Vis. Sci. 2022;63(7):2068 – F0057.

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

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Abstract

Purpose : The choroid is the dense vascular layer present posterior to the outer retina, serving various metabolic functions such as supplying oxygen and nutrients to the retina layers. Studies indicate that choroidal structural changes are related to several vision-threatening posterior segment disorders. Clinicians hypothesize that early manifestations of retinal diseases may be localized to specific regions of choroidal vasculature. However, studies so far were based on gross choroidal biomarkers including the thickness, volume, and vascularity index but not based on finer vasculature quantification. In this regard, to enable early diagnosis, clinicians seek to have biomarkers at the level of blood vessels in 3D. In response, we proposed and validated an end-to-end methodology to quantify choroidal Haller’s sublayer vasculature in 3D using wide-field SS-OCT volumes.

Methods : This is a retrospective study performed using healthy and diseased wide-field SS-OCT volume scans taken from the Carl Zeiss Plex Elite 9000 device. We proposed an end-to-end algorithm to quantify Haller’s sublayer vasculature. Firstly, we employ previously validated 3D residual U-Net, binarization based on exponential and non-linear enhancement, and 3D smoothing to segment the vasculature. Secondly, we employ TEASAR, 3D tensor voting, and geometrical modeling to estimate centerline (CL) and cross-sectional (CS) radius (Figure 1(a)). The accuracy of CL and CS estimates was validated based on subjective grading, performed on both synthetic and choroidal (of one healthy and two diseased eyes) vasculature. In each session (total 3 sessions), the grader graded CS at 5 randomly picked CL points (Figure 1(b)) to measure various parameters (Figure 1(c)).

Results : For each of the four parameters under consideration, we achieved an average grading score above 92%, demonstrating the efficacy of the proposed methodology. 3D heatmaps depicting relative CS radius as well as histograms of the representative healthy and diseased eyes facilitate quantitative visualization of the vasculature (Figure 2).

Conclusions : The proposed methodology is accurately quantifying choroidal Haller’s sublayer vasculature in 3D.

This abstract was presented at the 2022 ARVO Annual Meeting, held in Denver, CO, May 1-4, 2022, and virtually.

 

(a) Proposed methodology; (b) Subjective grading; and (c) Subjective grading scores on synthetic vessel models.

(a) Proposed methodology; (b) Subjective grading; and (c) Subjective grading scores on synthetic vessel models.

 

CS radius quantification represented by heatmap for healthy and diseased eyes.

CS radius quantification represented by heatmap for healthy and diseased eyes.

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