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

Authors:
Michael Berks;Chris Taylor;Rumana Rahim;Caroline Boggis;Susan Astley
Affiliations:
Imaging Science and Biomedical Engineeering, University of Manchester, Manchester, UK;Imaging Science and Biomedical Engineeering, University of Manchester, Manchester, UK;Department of Clinical Radiology, University of Manchester, Manchester, UK;Nightingale Breast Centre and Genesis Prevention Centre, University Hospital of South Manchester, Manchester, UK;Imaging Science and Biomedical Engineeering, University of Manchester, Manchester, UK
Venue:
IWDM'10 Proceedings of the 10th international conference on Digital Mammography
Year:
2010

Citing 2
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Synthesising malignant breast masses in normal mammograms

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Synthesising malignant breast masses in normal mammograms

IWDM'10 Proceedings of the 10th international conference on Digital Mammography

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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.