June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
Choroidal tumor imaging using polarization diversity-optical coherence tomography (PD-OCT) with adaptive kernel degree of polarization uniformity (DOPU) processing
Author Affiliations & Notes
  • Destiny Hsu
    School of Engineering Science, Simon Fraser University, Burnaby, British Columbia, Canada
  • Yusi Miao
    The University of British Columbia Department of Ophthalmology & Visual Sciences, Vancouver, British Columbia, Canada
  • Jun Song
    The University of British Columbia School of Biomedical Engineering, Vancouver, British Columbia, Canada
  • Jordan Johnson
    The University of British Columbia School of Biomedical Engineering, Vancouver, British Columbia, Canada
  • Travers Weaver
    The University of British Columbia Department of Ophthalmology & Visual Sciences, Vancouver, British Columbia, Canada
  • Katherine Paton
    The University of British Columbia Department of Ophthalmology & Visual Sciences, Vancouver, British Columbia, Canada
  • Marinko V Sarunic
    School of Engineering Science, Simon Fraser University, Burnaby, British Columbia, Canada
    University College London Institute of Ophthalmology, London, London, United Kingdom
  • Zaid Mammo
    The University of British Columbia Department of Ophthalmology & Visual Sciences, Vancouver, British Columbia, Canada
  • Myeong Jin Ju
    The University of British Columbia Department of Ophthalmology & Visual Sciences, Vancouver, British Columbia, Canada
    The University of British Columbia School of Biomedical Engineering, Vancouver, British Columbia, Canada
  • Footnotes
    Commercial Relationships   Destiny Hsu None; Yusi Miao None; Jun Song None; Jordan Johnson None; Travers Weaver None; Katherine Paton None; Marinko Sarunic Seymour Vision, Code I (Personal Financial Interest); Zaid Mammo None; Myeong Jin Ju None
  • Footnotes
    Support  The Paul and Edwina Heller Memorial Fund; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; The Alzheimer Society Research Program
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 4087 – F0051. doi:
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    • Get Citation

      Destiny Hsu, Yusi Miao, Jun Song, Jordan Johnson, Travers Weaver, Katherine Paton, Marinko V Sarunic, Zaid Mammo, Myeong Jin Ju; Choroidal tumor imaging using polarization diversity-optical coherence tomography (PD-OCT) with adaptive kernel degree of polarization uniformity (DOPU) processing. Invest. Ophthalmol. Vis. Sci. 2022;63(7):4087 – F0051.

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

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Abstract

Purpose : Our research focuses on investigating the utility of PD-OCT for imaging choroidal tumors in human eyes acquired in a clinical setting. Adaptive kernel-based DOPU images of lesions are compared to standard multimodal imaging techniques, including fundus photography, structural OCT, and fundus autofluorescence (FAF).

Methods : We used a custom-built swept-source OCT system for simultaneous detection of two orthogonal polarization signals over a >35° field-of-view (FOV). The melanin structures were segmented by measuring the polarization signal randomness with a novel adaptive kernel. The variability of this melanin specific measurement was assessed both longitudinally and across different demographics for healthy control subjects (N=10) to validate its quantitative measurement ability. In a clinic, two different types of patients, flat choroidal nevi (N=1) and elevated choroidal nevus (N=3) were imaged, and the DOPU contrast results were compared against standard imaging modalities for use in diagnosis and monitoring of pathology. The study received institutional ethics approval for human imaging.

Results : Selective identification of melanin using PD-OCT allowed accurate characterization of tumor dimensions and location within the choroid as shown in Figure 1. Fig. 1(a) shows overall morphological contrast, with the tumor visualized in (b)-(c) with DOPU contrast. Higher melanin concentration (red) signifies lesion presence against choroidal vasculature (blue). Blurring is seen in (b), whereas the adaptive kernel improves uniformity, and boundary and concentration estimates in (c).

Fig. 2(a) shows a healthy volunteer with uniform DOPU and clearly defined choroidal vasculature. Fig. 2(b) shows a flat nevus, highlighted in DOPU contrast by its melanin content in both en face and B-scan images, with a consistent RPE melanin signal. Fig. 2(c) shows a suspicious elevated nevus with associated subretinal fluid. Of note, there is RPE melanin signal loss in the B-scan.

Conclusions : Our proposed adaptive kernel-based DOPU process increases specificity and sensitivity of melanin molecule detection, with potential for improving choroidal tumor characterization, evaluation and follow-up over time.

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

 

 

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