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Computer-Aided Evaluation of Screening Mammograms Based on Local Texture Models

  1. 1.
    SYSNO ASEP0322909
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleComputer-Aided Evaluation of Screening Mammograms Based on Local Texture Models
    TitlePočítačové vyhodnocování mamogramů pomocí lokálního modelu textury
    Author(s) Grim, Jiří (UTIA-B) RID, ORCID
    Somol, Petr (UTIA-B) RID
    Haindl, Michal (UTIA-B) RID, ORCID
    Daneš, J. (CZ)
    Source TitleIEEE Transactions on Image Processing. - : Institute of Electrical and Electronics Engineers - ISSN 1057-7149
    Roč. 18, č. 4 (2009), s. 765-773
    Number of pages9 s.
    Languageeng - English
    CountryUS - United States
    KeywordsScreening mammography ; texture information ; local statistical model ; Gaussian mixture
    Subject RIVBB - Applied Statistics, Operational Research
    R&D ProjectsGA102/07/1594 GA ČR - Czech Science Foundation (CSF)
    GA102/08/0593 GA ČR - Czech Science Foundation (CSF)
    1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    CEZAV0Z10750506 - UTIA-B (2005-2011)
    UT WOS000264397100007
    DOI10.1109/TIP.2008.2011168
    AnnotationWe propose a new approach to diagnostic evaluation of screening mammograms based on local statistical texture models. The local evaluation tool has the form of a multivariate probability density of gray levels in a suitably chosen search window. First the density function in the form of Gaussian mixture is estimated from data obtained by scanning of the mammogram with the search window. Then we evaluate the estimated mixture at each position and display the corresponding log-likelihood value as a gray level at the window center. The resulting log-likelihood image closely correlates with the structural details of the original mammogram and emphasizes unusual places. We assume that, in parallel use, the log-likelihood image may provide additional information to facilitate the identification of malignant lesions as untypical locations of high novelty.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2009
Number of the records: 1  

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