Wavelet Image Interpolation (WII): A Wavelet-Based Approach to Enhancement of Digital Mammography Images

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1853/25826

Title: Wavelet Image Interpolation (WII): A Wavelet-Based Approach to Enhancement of Digital Mammography Images
Author: Derado, Gordana ; Bowman, F. DuBois ; Patel, Rajan ; Newell, Mary ; Vidakovic, Brani
Abstract: Cancer detection using mammography focuses on characteristics of tiny microcalcifications, including the number, size, and spatial arrangement of microcalcification clusters as well as morphological features of individual microcalcifications. We developed state-of-the-art wavelet-based methods to enhance the resolution of microcalcifications visible in digital mammograms, thereby improving the specificity of breast cancer diagnoses. In our research, we develop, refine, and evaluate a Wavelet Image Interpolation (WII) procedure and create accompanying software to implement it. WII involves the application of an inverse wavelet transformation to a coarse or degraded image and constructed detail coefficients to produce an enhanced higher resolution image. The construction of detail coefficients is supervised by the observed image and innate regular scaling assessed by a statistical model. Methodology we propose was tested by an experienced radiologist in a blind study using 40 images from the University of South Florida Digital Database for Screening Mammography (DDSM) (Heat et. al. [10]).
Type: Technical Report
URI: http://hdl.handle.net/1853/25826
Date: 2007
Contributor: Georgia Institute of Technology. Dept. of Biomedical Engineering
Emory University. Dept. of Biomedical Engineering
Amgen Inc.
Winship Cancer Institute of Emory University
Relation: Biomedical Engineering Technical Report ; 07/2007
Publisher: Georgia Institute of Technology
Subject: Breast cancer diagnostics
Mammography
Microcalcifications
Wavelet Image Interpolation (WII)

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