Modelling structural deformations in mammographic tissue using the dual-tree complex wavelet

Michael Berks, Chris Taylor, Rumana Rahim, Caroline Boggis, Susan Astley

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    The appearance of breast tissue in mammograms is altered by the presence of a malignant mass. Existing synthesis methods have not addressed this structural deformation. We aim to use a set of mass background images that display altered breast tissue to simulate such deformations in regions of digital mammograms previously showing no signs of disease. Regions are decomposed using the dual-tree complex wavelet transform (DT-CWT) to obtain a richer representation of local structure than provided by image grey-levels alone. Synthesis is achieved by modifying the high-frequency DT-CWT coefficients of normal regions to match those in mass backgrounds. Three methods for completing this task are described. The results, advantages and current limitations of the methods are discussed. © 2010 Springer-Verlag.
    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.
    PublisherSpringer Nature
    Pages145-152
    Number of pages7
    Volume6136
    ISBN (Print)3642136656, 9783642136658
    DOIs
    Publication statusPublished - 2010
    Event10th International Workshop on Digital Mammography, IWDM 2010 - Girona, Catalonia
    Duration: 1 Jul 2010 → …

    Conference

    Conference10th International Workshop on Digital Mammography, IWDM 2010
    CityGirona, Catalonia
    Period1/07/10 → …

    Keywords

    • dual-tree complex wavelet transform
    • lesion synthesis
    • malignant mass
    • Mammography
    • texture models
    • tissue deformation

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