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Extraction of chondromalacia knee cartilage using multi slice thresholding method

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86099586" target="_blank" >RIV/61989100:27240/16:86099586 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-29236-6_37" target="_blank" >http://dx.doi.org/10.1007/978-3-319-29236-6_37</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-29236-6_37" target="_blank" >10.1007/978-3-319-29236-6_37</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Extraction of chondromalacia knee cartilage using multi slice thresholding method

  • Original language description

    The paper deals with design of segmentation method for extraction special types of pathological changes of knee cartilage. Those changes are called chondromalacia of knee cartilage. These pathological changes unfavorable influence cartilage's surface and significantly deteriorate their structure. Knee cartilage is typically investigated by Magnetic resonance imaging (MRI). MRI is very effective method which is able to differentiate individual knee structures. On the other hand some tiny tissue's changes are not clearly recognizable because MRI generates image outputs in shade gray levels. Chondromalacia in early stage is manifested by weak contrast compared to its surroundings and therefore it is very complicated to recognize and locate spots where this change is. The proposed segmentation method is able to precisely differentiate individual cartilage structures and perform extraction of cartilage structure and adjacent pathological changes. Furthermore the proposed segmentation method transform MRI data to contrasting color map which is more effective approach then gray shade levels. The proposed algorithm is being tested on sample 30 patient's records and results are discussed with radiological experts.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/TG01010137" target="_blank" >TG01010137: PRE SEED Fund of VSB-Technical univerzity of Ostrava</a><br>

  • Continuities

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

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST. Volume 165

  • ISBN

    978-3-319-29235-9

  • ISSN

    1867-8211

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    395-403

  • Publisher name

    Springer Verlag

  • Place of publication

    London

  • Event location

    Vung Tau

  • Event date

    Nov 26, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article