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QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data
dc.contributor.author | Schirrmacher, Franziska | |
dc.contributor.author | Köhler, Thomas | |
dc.contributor.author | Husvogt, Lennart | |
dc.contributor.author | Fujimoto, James G. | |
dc.contributor.author | Hornegger, Joachim | |
dc.contributor.author | Maier, Andreas K. | |
dc.date.accessioned | 2021-11-09T16:10:19Z | |
dc.date.available | 2021-11-09T16:10:19Z | |
dc.date.issued | 2017 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.issn | 1611-3349 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/137948 | |
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.iso | en | |
dc.publisher | Springer International Publishing | en_US |
dc.relation.isversionof | 10.1007/978-3-319-66185-8_10 | en_US |
dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
dc.source | arXiv | en_US |
dc.title | QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Schirrmacher, 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." | |
dc.eprint.version | Original manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
dc.date.updated | 2019-06-26T15:53:02Z | |
dspace.date.submission | 2019-06-26T15:53:03Z | |
mit.license | OPEN_ACCESS_POLICY | |
mit.metadata.status | Authority Work and Publication Information Needed | en_US |