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dc.contributor.authorSchirrmacher, Franziska
dc.contributor.authorKöhler, Thomas
dc.contributor.authorHusvogt, Lennart
dc.contributor.authorFujimoto, James G.
dc.contributor.authorHornegger, Joachim
dc.contributor.authorMaier, Andreas K.
dc.date.accessioned2022-02-01T16:50:52Z
dc.date.available2021-11-09T16:10:19Z
dc.date.available2022-02-01T16:50:52Z
dc.date.issued2017-09
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttps://hdl.handle.net/1721.1/137948.2
dc.description.abstract© Springer International Publishing AG 2017. Optical coherence tomography (OCT) enables high-resolution and non-invasive 3D imaging of the human retina but is inherently impaired by speckle noise. This paper introduces a spatio-temporal denoising algorithm for OCT data on a B-scan level using a novel quantile sparse image (QuaSI) prior. To remove speckle noise while preserving image structures of diagnostic relevance, we implement our QuaSI prior via median filter regularization coupled with a Huber data fidelity model in a variational approach. For efficient energy minimization, we develop an alternating direction method of multipliers (ADMM) scheme using a linearization of median filtering. Our spatio-temporal method can handle both, denoising of single B-scans and temporally consecutive B-scans, to gain volumetric OCT data with enhanced signal-to-noise ratio. Our algorithm based on 4 B-scans only achieved comparable performance to averaging 13 B-scans and outperformed other current denoising methods.en_US
dc.language.isoen
dc.publisherSpringer International Publishingen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/978-3-319-66185-8_10en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleQuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Dataen_US
dc.typeArticleen_US
dc.identifier.citationSchirrmacher, Franziska, Köhler, Thomas, Husvogt, Lennart, Fujimoto, James G., Hornegger, Joachim et al. 2017. "QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data."en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMassachusetts Institute of Technology. Research Laboratory of Electronics
dc.relation.journalLecture Notes in Computer Scienceen_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2019-06-26T15:53:02Z
dspace.date.submission2019-06-26T15:53:03Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work Neededen_US


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