A new approach for the detection of architectural distortions using textural analysis of surrounding tissue

Imad Zyout, Roberto Togneri

    Research output: Chapter in Book/Conference paperConference paper

    5 Citations (Scopus)

    Abstract

    Aiming at improving the performance of computer-aided detection of architectural distortion (AD) in mammograms, this paper investigates whether textural patterns of AD surrounding tissue (ST) have the potential to detect AD signatures. More specifically, for characterizing the presence of AD; we investigated the application of textural analysis for discriminating between AD surrounding tissue and normal breast parenchyma. We evaluated the underlying hypothesis using a dataset of 2544 regions of interest (ROI) obtained from the Digital Database for Screening Mammography (DDSM). The ROI dataset contained 353 ST regions and 2191 normal parenchyma related regions. The bidimensional empirical mode decomposition (BEMD) algorithm was, first, applied to extract, from each ROI, the 2D intrinsic mode functions (2DIMF) or detail subbands. Then, statistical signatures of IMF layers were computed and used along with the fractal dimension, estimated from the original ROI, for discriminating ST from the normal breast tissue. The statistical analysis of various textural descriptors demonstrated the significant difference between characteristics of AD surrounding tissue and normal breast parenchyma. The highest AD recognition results of Az = 0.869, obtained from the textural analysis of AD surrounding tissue, is very promising and comparable with Az = 0.913 produced from characterizing AD regions.

    Original languageEnglish
    Title of host publication38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
    EditorsJim Patton
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages3965-3968
    Number of pages4
    Volume2016-October
    ISBN (Electronic)9781457702204
    ISBN (Print)9781457702204
    DOIs
    Publication statusPublished - 13 Oct 2016
    Event38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, United States
    Duration: 16 Aug 201620 Aug 2016

    Conference

    Conference38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
    CountryUnited States
    CityOrlando
    Period16/08/1620/08/16

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