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Autonomous Decision System For Image Processing Of Ultrasound Images

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19240%2F14%3A%230005335" target="_blank" >RIV/47813059:19240/14:#0005335 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Autonomous Decision System For Image Processing Of Ultrasound Images

  • Original language description

    The presented paper presents a developed program for image processing of medical ultrasound images based on thresholding in ROI of appropriate tissue. The algorithm has been developed for B-MODE ultrasound images in grayscale which is basic in ultrasoundimaging. The algorithm was checked in neurosonology field, for parkinsonic features of hyperechogenity in substantia nigra. The first phase is focused on pre-processing and ROI selection and automatic checking input quality of images based on global andaverage intensity. The core is based on computing of an area of hyperechogenic ROI. This method is useful to evaluation pathology and physiology according to descending area in accordance with increasing threshold. Actually is also checked using for raphe nuclei area.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>

  • Continuities

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

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proc.of The 2nd World Congress on Multimedia and Computer Science 2014

  • ISBN

    978-9938-9563-1-3

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    17-22

  • Publisher name

    N&N Global Technology

  • Place of publication

    Tunisia

  • Event location

    Tunisia

  • Event date

    Jan 1, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article