Drusen segmentation with sparse volumetric SD-OCT sampling

Abum Okemgbo*, I. David Rein, Yiyang Wang, Amani Fawzi, Jacob Furst, Daniela Raicu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Age-Related Macular Degeneration (AMD) is a common eye disease characterized by the build-up of drusen, small deposits of extracellular materials in the macula. Early detection of drusen is key to understanding the progression of AMD. Therefore, accurate and robust segmentation of drusen during AMD progression is important for automated detection, classification, diagnosis, and prognosis tasks. Spectral-domain optical coherence tomography (SD-OCT) is a popular macular imaging modality used for these tasks. However, because of the trade-off between resolution and speed, often clinical OCT scans will contain far fewer images per volume than the 100-200 images the drusen segmentation literature generally utilizes. To address this disparity, we develop a novel drusen segmentation algorithm for SD-OCT volumes with low volumetric resolution. We achieve comparable results to similar work, while using on average 16% of the volumetric information. We evaluate our segmentation approach on manually segmented images by two graders, and achieve median Dice coefficient scores of 0.75 and 0.66, respectively, which are close to our median inter-reader variability score of 0.75.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2021
Subtitle of host publicationImage Processing
EditorsIvana Isgum, Bennett A. Landman
ISBN (Electronic)9781510640214
StatePublished - 2021
EventMedical Imaging 2021: Image Processing - Virtual, Online, United States
Duration: Feb 15 2021Feb 19 2021

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN (Print)1605-7422


ConferenceMedical Imaging 2021: Image Processing
CountryUnited States
CityVirtual, Online


  • Age-Related Macular Degeneration
  • Drusen
  • Retinal imaging
  • Segmentation
  • Spectral-domain optical coherence tomography

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

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