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    Journals >Laser & Optoelectronics Progress >Volume 60 >Issue 10 >Page 1000002 > Article
    • Laser & Optoelectronics Progress
    • Vol. 60, Issue 10, 1000002 (2023)
    Public Data Acquisition of Optical Coherence Tomography Images of Fundus and Its Analysis Algorithms
    Xiupin Wu1,*, Juewei Li1, and Wanrong Gao2
    Author Affiliations
  • 1School of Medical Instruments, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
  • 2School of Electronic and Optical Engineering, Nanjing University of Science & Technology, Nanjing 210014, Jiangsu, China
    • show less
    DOI: 10.3788/LOP220794 Cite this Article Set citation alerts
    Xiupin Wu, Juewei Li, Wanrong Gao. Public Data Acquisition of Optical Coherence Tomography Images of Fundus and Its Analysis Algorithms[J]. Laser & Optoelectronics Progress, 2023, 60(10): 1000002 Copy Citation Text show less
    Macular structure of healthy retina
    Fig. 1. Macular structure of healthy retina
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    OCT image of AMD
    Fig. 2. OCT image of AMD
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    OCT image of DR
    Fig. 3. OCT image of DR
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    OCT image of CSR
    Fig. 4. OCT image of CSR
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    Number of papers of different algorithms
    Fig. 5. Number of papers of different algorithms
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    DatasetDevicesEye diseaseNumber of imagesCountryLink to datasetYear
    DukeHome-madeAMD，Normal>38400USAhttps：//people.duke.edu/~sf59/RPEDC_Ophth_2013_dataset.htm2013—2021
    KaggleAMD，CNV，CSR，DME，DR，Drusen，MH，Normal>3000Melbournehttps：//www.kaggle.com/search？q=Retinal+OCT+in%3Adatasets2017—2021
    VarpaCirrus 500，Cal Zeiss353Spainhttp：//www.varpa.es/research/ophtalmology.html2010—2019
    OCTIDCirrus 500，Cal ZeissDR，AMD，CSR，Normal519Canadahttps：//dataverse.scholarsportal.info/dataverse/OCTID2018
    ZenodoCirrus 500，Cal ZeissGlaucoma，Normal1100https：//zenodo.org/record/1481223#.Xr06Q2gzbIU2018
    MendeleySpectralis，HeidelbergDR，Drusen，CNV，Normal84484USA，Chinahttps：//data.mendeley.com/datasets/rscbjbr9sj/32013—2017
    OCTRIMASpectralis，HeidelbergNormal10USAhttps：//journals.plos.org/plosone/article?id=10.1371/journal.pone.01339082015
    Pascal DufourSpectralis，HeidelbergAMD，Normal310Switzerlandhttp：//pascaldufour.net/Research/software_data.html2012
    Table 1. Free public data
    CompanyModelCentral wavelengthResolutionField of viewLine ratePixel number
    Cal Zeiss，USCirrus 500 OCT840 nm5 μm×15 μm2 mm27-68 kHz1024
    Topcon，JapanDRI OCT Triton，1050 nm8 μm×20 μm100 kHz
    3D OCT-1 Maestro，3D OCT-20006 μm×20 μm50 kHz
    Heidelberg，GermanySpectralis1 μm40 kHz
    Optovue，USRTVue-XR5 μm2.3 mm70 kHz
    Bioptigen，USSD-OCT<3 μm5.4 mm32 kHz1024/2048
    Leica，GermanyEnvisu SD-OCT≤2μm
    Table 2. OCT devices for data acquisition
    TypeMethodEye diseaseDatasetResearch instituteYear
    Different layersU-net and SegNet［15］AMD，DMEDukeTowson University，USA2021
    U-net and DexiNet［16］AMDDukeUniversity of Florida，USA2021
    GS［17］DME，AMD，NormalOCTRIMAUniversity of Miami，USA2015
    GS［18］AMDDukeDoheny Eye Institute，USA2017
    ERR-net and GS［19］AMD，DRDukeXiangtan University，China2021
    CNN［20］AMD，NormalDukeUniversity of Iowa，USA2020
    CNN and LSTM［21］AMD，NormalDukeIndia2017
    CNN［22］AMDDukeUniversity of Iowa，USA2017
    CNN［23］AMD，NormalDukeUniversity of Iowa，USA2018
    CNN-GS［24］AMDDukeDuke University，USA2017
    GDM［25］AMD，NormalOCTRIMAUniversity of Nottingham，UK2017
    Fuzzy histogram and graph cut methods［26］GlaucomaDukeBrunel University，UK2018
    Based on fluid potential energy equation［27］AMDDukeTianjin University，China2020
    MT and probabilistic maps［28］AMDDukeIndia2018
    Bayesian deep learning［29］DME，AMDDukeAustralia2018
    Non-parametric mathematical model［30］AMD，NormalDukeIsfahan University of Medical Sciences，Iran2021
    CRF［31］DME，AMD，NormalOCTRIMA，DukeInternational Institute of Information Technology Hyderabad，India2018
    Ensemble-learning-based method［32］DME，NormalDukeUniversity of Coimbra，Portugle2021
    Structured learning algorithm［33］DMEPascal DufourIndia2016
    Lesion zoneU-net［34］AMDDukeAustria2021
    U-net++［35］DMEDukeHeilongjiang University of Science and Technology，China2020
    Multitask learning［36］AMDDukeMedical University of Vienna，Austria2019
    CycleGAN-based weakly supervised method［37］DME，CNV，Drusen，NormalMendeleySuzhou Institute of Biomedical Engineering and Technology，China2021
    Structure tensor guided approach［38］AMD，CSR，DR，CNV，MH，NormalDuke，MendeleyBeihang University，China2021
    RASP-Net［39］AMDMendeleyBeihang University，China2021
    Unsupervised learning［40］AMDDukeMedical University Vienna，Austria2019
    Gradient-weighted class activation mapping［41］DME，CNV，Drusen，NormalMendeleyWuhan University of Science and Technology，China2022
    Encoder-decoder network［42］DR，NormalVerpaShenzhen University，China2021
    BSDA-Net［43］DR，NormalVerpaSouthern University of Science and Technology，China2021
    Table 3. Segmentation algorithm for retinal OCT images
    MethodEye diseaseDatasetAccuracyResearch instituteYear
    CNN［44］AMD，DR，NormalPascal Dufour88%University of Bern，Switzerland2019
    CNN［45］AMD，DME，NormalDukeAUC is 0.95Indian Institute of Technology Guwahati，India2020
    CNN［46］AMD，DME，NormalMendeley95.7%Sri Sivasubramaniya Nadar College of Engineering，India2021
    CNN［47］AMD，DME，NormalDukeIndia2017
    Multiscale and multipath CNN［48］AMDDuke，Mendeley99.02%National Institute of Technology Tiruchirappalli，India2021
    Lesion-ware CNN［49］Drusen，CNV，DME，NormalMendeley93.3%Hunan University，China2019
    Self-developed CNN［50］CNV，DME，Drusen，NormalMendeley94.87%Bangladesh2021
    Three CNNs［51］CNV，DME，Drusen，NormalKaggle96.5%India2022
    Densely connected CNN［52］CNV，DME，DrusenMendeley98.0%National Institute of Technology Rourkela，India2019
    CNN and quadratic SVM［53］AMD，CNV，DME，Drusen，NormalMendeley100%University of Southern Queensland，Australia2021
    SVM［54］AMD，NormalDuke95%National University of Sciences and Technology，Pakistan2018
    Multilayered SVM［55］AMD，CSR，NormalDuke99.92%Bahria University，Pakistan2017
    GAN［56］CNV，DME，Drusen，NormalMendeley93.9%Aerospace Medical Center，Republic of Korea2021
    LSGAN［57］CNV，DME，Drusen，NormalMendeley87.25%Hunan University，China2020
    VGG16［58］CNV，DME，Drusen，NormalMendeley98.7%National Institutes of Health，USA2021
    Deep ensemble network［59］CNV，DME，Drusen，NormalMendeley98.53%India2020
    ResNet［60］AMDDuke96.78%Institute for Infocomm Research，Singapore2020
    GLMR［61］AMD，NormalDukeAUC>0.99Duke University，USA2014
    SMO［62］AMD，DME，NormalDuke99.3%Northeastern University，China2016
    CMoE［63］AMD，DME，NormalDuke98.14%Isfahan University of Medical Sciences，Iran2019
    MCME ensemble model［64］AMD，DME，NormalDuke98.86%Isfahan University of Medical Sciences，Iran2018
    Super-learner framework［65］CNV，DME，Drusen，NormalMendeley98.55%India2021
    Vision Transformer［66］AMD，DME，NormalDuke99.69%Shanghai Institute of Technology，China2022
    Multiscale CNN［67］AMD，NormalOCTID，Duke>96.0%National Institute of Technology Tiruchirappalli，India2021
    Table 4. Classification algorithm of retinal OCT images
    MethodDatasetMetricCountryYear
    AC-SRResNet［68］MendeleySNRCNREPISpeedBeijing Institute of Technology，China2021
    41.8 dB42.0 dB0.6817 frame/s
    2D curvelet-based K-SVD［71］DukeCNRMSRNoor Eye Hospital，Iran2018
    5.1214.41
    NWSR［72］DukeMSRCNRENLPSNRUniversity of Isfahan，Iran2018
    8.673.451552.6827.79
    GAN［69］DukePSNREPIENLCNRSichuan University，China2019
    27.830.931669.54.46
    Table 5. Denoising algorithm of retinal OCT images
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    Xiupin Wu, Juewei Li, Wanrong Gao. Public Data Acquisition of Optical Coherence Tomography Images of Fundus and Its Analysis Algorithms[J]. Laser & Optoelectronics Progress, 2023, 60(10): 1000002
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