Drusen segmentation in color fundus photographs for drusenoid pigment epithelial detachment patients based on ground-truth derived from SD-OCTs

Souvick Mukherjee; Cameron Duic; Tharindu De Silva; Tiarnan Keenan; Alisa Thavikulwat; Emily Chew; Catherine Cukras

doi:10.1117/12.2653995

7 April 2023 Drusen segmentation in color fundus photographs for drusenoid pigment epithelial detachment patients based on ground-truth derived from SD-OCTs

Souvick Mukherjee, Cameron Duic, Tharindu De Silva, Tiarnan Keenan, Alisa Thavikulwat, Emily Chew, Catherine Cukras

Author Affiliations +

Proceedings Volume 12465, Medical Imaging 2023: Computer-Aided Diagnosis; 1246515 (2023) https://doi.org/10.1117/12.2653995
Event: SPIE Medical Imaging, 2023, San Diego, California, United States

Abstract

Purpose: This work aims to identify areas with sub-retinal-pigment-epithelium (sub-RPE) accumulations on 2- dimensional (2D) color-fundus-photographs (CFPs) in patients with age-related macular degeneration (AMD) using the definitions in spectral-domain-optical-coherence-tomography (SD-OCT) imaging. Detecting and quantifying areas of RPE elevations (most notably drusen) in CFPs will aid in objective evaluation of AMDseverity-scores as well as patient selection and monitoring in clinical trials. Methods: A retinal-layersegmentation algorithm for SD-OCTs was used to automatically identify areas with RPE elevations and build the ground-truth 2D binary maps for training. CFP was registered to the enface projection images of SD-OCT to overlay OCT-defined drusen areas on CFP images. A 2D-UNet segmentation network was trained using bilateral stereo CFP pairs in a Siamese architecture that share OCT-defined drusen areas as ground-truth. Results: Dataset consists of AMD patients with 127 train and 23 test eyes. Dice-similarity-coefficient for the predictions on CFPs was found to be 0.70±0.13 (mean±std), and overall accuracy was 0.73. 89% of test eyes exhibited drusen area prediction error <1mm² compared to reading-center measures. Conclusion: Our work demonstrates the potential of using 2D CFP images to predict areas of sub-RPE elevations as defined in 3D-SDOCT imaging. Qualitative evaluation of the mismatch between the two imaging modalities shows regions with complementary features in a subset of the cases making it challenging to achieve optimal segmentation. However, the results show clinically useful performance in CFPs that can be used to quantify accumulations in the sub-RPE space which are the key pathologic biomarkers of AMD relevant to patient selection and trial outcome measure designs.

Conference Presentation

Citation Download Citation

Souvick Mukherjee, Cameron Duic, Tharindu De Silva, Tiarnan Keenan, Alisa Thavikulwat, Emily Chew, and Catherine Cukras "Drusen segmentation in color fundus photographs for drusenoid pigment epithelial detachment patients based on ground-truth derived from SD-OCTs", Proc. SPIE 12465, Medical Imaging 2023: Computer-Aided Diagnosis, 1246515 (7 April 2023); https://doi.org/10.1117/12.2653995

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available