Duke Fang SBSDI Retinal OCT Dataset

Human and human-derived paired retinal OCT images used to study sparse acquisition, denoising, interpolation, and reconstruction in healthy and non-neovascular AMD eyes.

At a glance

Field	Value
Short name	fang_sbsdi_oct
Full name	Duke Fang SBSDI Retinal OCT Dataset
First published	Unknown
Publication date precision	Unknown
Publication date evidence	Unknown
Publication date source field	Unknown
Publication date reviewed	Unknown
Primary category	oct
Resource role	current_dataset
Dataset family	fang_sbsdi_oct
Contained modalities	oct
Tasks	reconstruction, denoising
Primary reported quantity	323 images
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

Reported quantities

Role	Count	Unit	Scope	Basis	Evidence
Primary	323	images	TIFF images in the separately named human and human-derived components of the official source archive Includes 195 real-human TIFFs, 108 human-derived synthetic TIFFs, and 20 human-derived dictionary-training TIFFs. Software, demonstrations, and nonhuman source-archive components are excluded.	current_deposit_file_listing	people.duke.edu/~sf59
Additional	41	participants	Twenty-eight eyes from 28 participants used for human-derived synthetic data and 13 participants used for real acquisitions Participant groups are distinct in the associated paper.	associated_publication	https://doi.org/10.1109/TMI.2013.2271904

Counts retain their source-reported units. Additional rows can describe components, paired items, or derivative copies and are not automatically added to the primary quantity.

Notes

The catalog scope is limited to the source archive's separately named human and human-derived components: 195 real-human TIFFs, 108 human-derived synthetic TIFFs, and 20 human-derived dictionary-training TIFFs. Other source-archive components are outside this record's scope. The associated paper describes 28 eyes from 28 participants for the synthetic experiments and 13 participants for the real experiments.

Access information and download

CLI

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

# Download, 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 download

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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