Duke Fang SBSDI Retinal OCT Dataset

Paired low signal and high signal retinal OCT data used to study sparse acquisition, denoising, interpolation, and reconstruction in normal and non-neovascular AMD eyes.

At a glance

Field	Value
Short name	fang_sbsdi_oct
Full name	Duke Fang SBSDI Retinal OCT Dataset
Primary category	oct
Contained modalities	oct
Tasks	reconstruction, denoising
Samples	41
Classes	Not reported (Not reported)
Splits	all
Size	0.45 GB
Source-stated terms	Research only: academic research use
Normalized terms	research-only
Descriptive screening label	Research or challenge restriction recorded; check source
Terms scope	dataset_files
Access friction	anonymous_direct
Route backend	Manual (upstream-gated)
Availability	available (checked 2026-07-21)
Acquisition support	guided_instructions_only
Legacy sample-loader status	Metadata and access only

Notes

The count records the 41 human participants described in the paper, not the number of files. The archive is organized by experiment rather than an official train and test split and also includes software and mouse imaging data.

Access preflight and acquisition

CLI

# Read-only preflight
eyehub download fang_sbsdi_oct --data-dir ./data --dry-run --json

# Explicit transfer, only when preflight reports supported behavior
eyehub download fang_sbsdi_oct --data-dir ./data

Python

from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY

ds = REGISTRY.get_dataset('fang_sbsdi_oct')
print(preflight_dataset(ds, './data'))  # no transfer

Upstream page: people.duke.edu/~sf59

Source-term evidence: people.duke.edu/~sf59

Loader status

This catalog record provides metadata and access instructions, but it does not yet include a standard DatasetSample loader. Inspect the source file structure or contribute a loader before using it in a training pipeline.

Citation

BibTeX

@misc{fang_sbsdi_oct,
  title  = { Duke Fang SBSDI Retinal OCT Dataset },
  note   = { Fang L, Li S, McNabb RP, et al. Fast acquisition and reconstruction of optical coherence tomography images via sparse representation. IEEE Trans Med Imaging. 2013;32:2034-2049. doi:10.1109/TMI.2013.2271904 },
  year   = { 2013 },
  url    = { https://people.duke.edu/~sf59/Fang_TMI_2013.htm },
}

Plain text

Fang L, Li S, McNabb RP, et al. Fast acquisition and reconstruction of optical coherence tomography images via sparse representation. IEEE Trans Med Imaging. 2013;32:2034-2049. doi:10.1109/TMI.2013.2271904

Source-stated terms

• Raw source string: Research only: academic research use
• Normalized category: research-only
• Apparent scope: dataset_files
• Descriptive screening label: Research or challenge restriction recorded; check source

⚠️ Source-stated terms, scope, and normalized labels are curation metadata, not legal advice or a permission finding. Review the current official source before transfer or reuse.

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