Difference between revisions of "OCT Data"
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| − | <meta name="title" content="OCT MS and Healthy Controls Data"/> | + | <noinclude> |
| + | <!-- <meta name="title" content="OCT MS and Healthy Controls Data"/> --> | ||
| + | {{TOCright}} | ||
| + | {{h2|OCT MS and Healthy Controls Data}} | ||
| + | {{h3|Data}} | ||
| + | </noinclude> | ||
| + | <onlyinclude> | ||
| + | <includeonly> | ||
{{h3|OCT MS and Healthy Controls Data}} | {{h3|OCT MS and Healthy Controls Data}} | ||
| + | </includeonly> | ||
* Data resource for Multiple Sclerosis and Healthy Controls: | * Data resource for Multiple Sclerosis and Healthy Controls: | ||
| − | :* {{iacl|~aaron/data/OCT_Manual_Delineations- | + | :* {{iacl|~aaron/data/OCT_Manual_Delineations-2018_June_29_b.zip|OCT_Manual_Delineations-2018_June_29_b.zip}} (1.8G) contains 35 OCT volumes from a Spectralis Scanner with corresponding manual delineations of nine retinal boundaries. The cohort contains 14 healthy controls and 21 multiple sclerosis patients with age and gender information. |
| − | :* '''The preprocessing and data reader code are | + | :* '''The preprocessing and data reader code are in a [https://www.github.com/heyufan1995/oct_preprocess/ GitHub Repository].''' |
:* If you use this data please cite: {{pub|author=Y. He, A. Carass, S.D. Solomon, S. Saidha, P.A. Calabresi, and J.L. Prince|title=[[OCT Data|Retinal layer parcellation of optical coherence tomography images: Data resource for Multiple Sclerosis and Healthy Controls]]|journal=Data in Brief|number=22:601-604|when=2019|doi=10.1016/j.dib.2018.12.073|pubmed=30671506|pmcid=6327073}} | :* If you use this data please cite: {{pub|author=Y. He, A. Carass, S.D. Solomon, S. Saidha, P.A. Calabresi, and J.L. Prince|title=[[OCT Data|Retinal layer parcellation of optical coherence tomography images: Data resource for Multiple Sclerosis and Healthy Controls]]|journal=Data in Brief|number=22:601-604|when=2019|doi=10.1016/j.dib.2018.12.073|pubmed=30671506|pmcid=6327073}} | ||
| + | </onlyinclude> | ||
| + | <noinclude> | ||
| + | |||
| + | |||
| + | {{h3|Papers using this Data}} | ||
| + | {{iacl-pub|author=Y. He, A. Carass, Y. Liu, B.M. Jedynak, S.D. Solomon, S. Saidha, P.A. Calabresi, and J.L. Prince|title=Fully Convolutional Boundary Regression for Retina OCT Segmentation|conf=miccai2019|number=120-128|when=2019|doi=10.1007/978-3-030-32239-7_14}} | ||
| + | {{iacl-pub|author=Y. He, A. Carass, Y. Liu, B.M. Jedynak, S.D. Solomon, S. Saidha, P.A. Calabresi, and J.L. Prince|title=Deep learning based topology guaranteed surface and MME segmentation of multiple sclerosis subjects from retinal OCT|jrnl=bmoe||when=2019|number=10(10):5042-5058|doi=10.1364/BOE.10.005042}} | ||
| + | {{iacl-pub|author=Y. Liu, A. Carass, Y. He, B.J. Antony, A. Filippatou, S. Saidha, S.D. Solomon, P.A. Calabresi, and J.L. Prince|title=Layer boundary evolution method for macular OCT layer segmentation|jrnl=bmoe|number=10(3):1064-1080|when=2019|doi=10.1364/BOE.10.001064|pubmed=30891330|pmcid=6420297}} | ||
| + | {{iacl-pub|author=A. Lang, A. Carass, E.K. Swingle, O. Al-Louzi, P. Bhargava, S. Saidha, H.S. Ying, P.A. Calabresi, and J.L. Prince|title=[[Automatic segmentation of microcystic macular edema in OCT]]|jrnl=bmoe|number=6(1):155-169|when=2015|doi=10.1364/BOE.6.000155|pubmed=25657884}} | ||
| + | {{iacl-pub|author=A. Lang, A. Carass, M. Hauser, E.S. Sotirchos, P.A. Calabresi, H.S. Ying, and J.L. Prince|title=[[Retinal layer segmentation of macular OCT images|Retinal layer segmentation of macular OCT images using boundary classification]]|jrnl=bmoe|number=4(7):1133-1152|when=2013|doi=10.1364/BOE.4.001133|pmcid=3704094|pdf=proceedings/iacl/2013/LanxBOE13-Retinal_layer_OCT.pdf}} | ||
| + | |||
| + | </noinclude> | ||
Latest revision as of 21:20, 30 April 2025
OCT MS and Healthy Controls Data
Data
- Data resource for Multiple Sclerosis and Healthy Controls:
- OCT_Manual_Delineations-2018_June_29_b.zip (1.8G) contains 35 OCT volumes from a Spectralis Scanner with corresponding manual delineations of nine retinal boundaries. The cohort contains 14 healthy controls and 21 multiple sclerosis patients with age and gender information.
- The preprocessing and data reader code are in a GitHub Repository.
- If you use this data please cite: Y. He, A. Carass, S.D. Solomon, S. Saidha, P.A. Calabresi, and J.L. Prince, "Retinal layer parcellation of optical coherence tomography images: Data resource for Multiple Sclerosis and Healthy Controls", Data in Brief, 22:601-604, 2019.
(PubMed) (PMCID 6327073)
Papers using this Data
- Y. He, A. Carass, Y. Liu, B.M. Jedynak, S.D. Solomon, S. Saidha, P.A. Calabresi, and J.L. Prince, "Fully Convolutional Boundary Regression for Retina OCT Segmentation", 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019), Shenzhen, China, October 13–17, 2019.
- Y. He, A. Carass, Y. Liu, B.M. Jedynak, S.D. Solomon, S. Saidha, P.A. Calabresi, and J.L. Prince, "Deep learning based topology guaranteed surface and MME segmentation of multiple sclerosis subjects from retinal OCT", Biomed. Opt. Express, 10(10):5042-5058, 2019.
- Y. Liu, A. Carass, Y. He, B.J. Antony, A. Filippatou, S. Saidha, S.D. Solomon, P.A. Calabresi, and J.L. Prince, "Layer boundary evolution method for macular OCT layer segmentation", Biomed. Opt. Express, 10(3):1064-1080, 2019. (PubMed) (PMCID 6420297)
- A. Lang, A. Carass, E.K. Swingle, O. Al-Louzi, P. Bhargava, S. Saidha, H.S. Ying, P.A. Calabresi, and J.L. Prince, "Automatic segmentation of microcystic macular edema in OCT", Biomed. Opt. Express, 6(1):155-169, 2015. (PubMed)
- A. Lang, A. Carass, M. Hauser, E.S. Sotirchos, P.A. Calabresi, H.S. Ying, and J.L. Prince, "Retinal layer segmentation of macular OCT images using boundary classification", Biomed. Opt. Express, 4(7):1133-1152, 2013. (PDF) (PMCID 3704094)
