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Segmentation methods for MRI processing

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F09%3APU79623" target="_blank" >RIV/00216305:26220/09:PU79623 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Segmentation methods for MRI processing

  • Original language description

    The paper describes the segmentation of NMR image of the human head in the region of temporomandibular joint. Images obtained by the tomograph used are of very low resolution and contrast, and processing them can prove to be difficult. There were found many methods for segmentation of small and noised parts of NMR images such as active contours, region-based or edge-based level set segmentation methods and very known the region growing method. An appropriate algorithm has been found, which consists of pre-processing the image by a smoothing filter, sharpening, and four-phase level set segmentation. This method segments the image on the basis of the intensity of regions and is thus suitable to be applied to the above NMR images, in which no sharp edgesoccur. The method also has some filtering capability. The paper describes the most popular segmentation methods in MRI processing and it is shown the result of the mentioned four-phase level set segmentation method. The future work will b

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA102%2F07%2F1086" target="_blank" >GA102/07/1086: Specific imaging methods based on magnetic resonance and ultrasound for study of temporomandibular joints</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2009

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Recent Advances in Numerical Modelling

  • ISBN

    978-83-922095-8-4

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

  • Publisher name

    Neuveden

  • Place of publication

    Polsko

  • Event location

    Polsko

  • Event date

    May 10, 2009

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article