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    Statistical model for OCT image denoising

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    boe-8-9-3903.pdf
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    Type
    Article
    Authors
    Li, Muxingzi cc
    Idoughi, Ramzi
    Choudhury, Biswarup
    Heidrich, Wolfgang cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Applied Mathematics and Computational Science Program
    Visual Computing Center (VCC)
    Computer Science Program
    Date
    2017-08-01
    Online Publication Date
    2017-08-01
    Print Publication Date
    2017-09-01
    Embargo End Date
    2018-09-01
    Permanent link to this record
    http://hdl.handle.net/10754/625719
    
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    Abstract
    Optical coherence tomography (OCT) is a non-invasive technique with a large array of applications in clinical imaging and biological tissue visualization. However, the presence of speckle noise affects the analysis of OCT images and their diagnostic utility. In this article, we introduce a new OCT denoising algorithm. The proposed method is founded on a numerical optimization framework based on maximum-a-posteriori estimate of the noise-free OCT image. It combines a novel speckle noise model, derived from local statistics of empirical spectral domain OCT (SD-OCT) data, with a Huber variant of total variation regularization for edge preservation. The proposed approach exhibits satisfying results in terms of speckle noise reduction as well as edge preservation, at reduced computational cost.
    Citation
    Li M, Idoughi R, Choudhury B, Heidrich W (2017) Statistical model for OCT image denoising. Biomedical Optics Express 8: 3903. Available: http://dx.doi.org/10.1364/boe.8.003903.
    Sponsors
    King Abdullah University of Science and Technology (KAUST) (Visual Computing Center Competitive Funding). We would like to thank Prof. TorOve Leiknes and Luca Fortunato of Water Desalination and Reuse Center, KAUST for help with the OCT data acquisition. We also take this opportunity to thank the ThorLabs, Munich engineering team for their assistance with the native OCT file handling procedures. The authors would also like to thank Mohamed Aly for his valuable feedback on the project.
    Publisher
    The Optical Society
    Journal
    Biomedical Optics Express
    DOI
    10.1364/boe.8.003903
    Additional Links
    https://www.osapublishing.org/boe/abstract.cfm?uri=boe-8-9-3903
    http://europepmc.org/articles/pmc5611912?pdf=render
    ae974a485f413a2113503eed53cd6c53
    10.1364/boe.8.003903
    Scopus Count
    Collections
    Articles; Applied Mathematics and Computational Science Program; Computer Science Program; Visual Computing Center (VCC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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