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A Stochastic Method For Ultrasound Despeckling In Images Via Dynamic Weight Allocation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU128488" target="_blank" >RIV/00216305:26220/18:PU128488 - isvavai.cz</a>

  • Result on the web

    <a href="http://tsp.vutbr.cz/datas/tsp2018_proc/TSP2018.pdf" target="_blank" >http://tsp.vutbr.cz/datas/tsp2018_proc/TSP2018.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Stochastic Method For Ultrasound Despeckling In Images Via Dynamic Weight Allocation

  • Original language description

    Medical and biological imaging modalities like ultrasound often contain noise that is non-linear in nature. Noise reduction via linear filtering algorithms often produce unimpressive results. Multiplicative noise like speckle noise is inherently present in medical ultrasound images, and it usually reduces the contrast between region of interest and the background. Recent algorithms like Bayesian methods have been used with some degree of success but they are computationally intensive. This paper presents an iterative algorithm for noise reduction in ultrasound images via dynamic weight allocation. Proposed method is fast and performs better in comparison to state-of-art techniques.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

    <a href="/en/project/GA17-19638S" target="_blank" >GA17-19638S: Sequential Bayesian Estimation of Arterial Wall Motion</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 2018 41st International Conference on Telecommunications and Signal Processing

  • ISBN

    978-1-5386-4695-3

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    228-231

  • Publisher name

    Faculty of Electrical Engineering and Communacation, Brno University of Technology

  • Place of publication

    Technická 3058/10, 616 00 Brno, Czech Republic

  • Event location

    Athens, Greece

  • Event date

    Jul 4, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000454845100053