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ODTiD: Optic Nerve Head SD-OCT Image Dataset.

Janarthanam Jothi Balaji1, Vasudevan Lakshminarayanan2

  • 1Department of Optometry, Medical Research Foundation, Chennai, Tamil Nadu, 600006, India.

Clinical Ophthalmology (Auckland, N.Z.)
|October 28, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a new public dataset of optic disc tilt (ODT) images captured via optical coherence tomography (OCT). The dataset aids in developing and validating automated segmentation algorithms for ODT analysis.

Keywords:
high myopiaimage databaseimage segmentationophthalmologyoptic disc tiltoptical coherence tomography

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Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Computer Vision

Background:

  • Optic disc tilt (ODT) is a common congenital anomaly linked to high myopia.
  • Current imaging of the optic disc (OD) primarily uses optical coherence tomography (OCT).
  • A public dataset for ODT OCT images is currently unavailable.

Purpose of the Study:

  • To create and release an open-access dataset of raw optic disc tilt OCT images.
  • To facilitate the development and testing of novel image processing and segmentation algorithms for ODT analysis.

Main Methods:

  • Acquired spectral-domain optical coherence tomography (SD-OCT) images using the optic disc cube 200×200 program.
  • Collected horizontal and vertical cross-sectional images from 121 clinically normal and myopic eyes.
  • Aligned all images to the center of the optic nerve head.

Main Results:

  • The dataset comprises 242 images: 121 clear and 121 manually segmented (ground truth).
  • Includes comprehensive metadata: age, gender, refractive error, visual acuity, IOP, and axial length.
  • Subject demographics include a combined age range of 11.0-69.0 years.

Conclusions:

  • An open-access database of ODT OCT images is now available online.
  • This resource will support the validation of automated segmentation algorithms for ODT.