IMPROVING IMAGE QUALITY OF DIGITAL MAMMOGRAPHIC IMAGES USING AN UNDECIMATED DISCRETE WAVELET TRANSFORM METHOD: PERFORMANCE ASSESSMENT

Eri Matsuyama, Du-Yih Tsai, Yongbum Lee, Haruyuki Watanabe, Masaki Tsurumaki, Katsuyuki Kojima

Abstract

Improving image quality in digital mammographic images has clinical impact in order to increase accuracy of detection of breast cancer. This study aimed to develop and evaluate a new method for denoising mammographic images. The features of the proposed method include iterative use of undecimated multidirectional wavelet transforms at adjacent scales. In this method, computer-based simulations have been carried out for selecting wavelet basis function based on mutual information metric. Perceptual experiments on clinical mammograms were conducted. This new method was compared with the conventional methods to demonstrate its superiority.

Keywords

medical imaging, mammograms, wavelet transform, image quality, denoising

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DOI

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IMEKO TC

TC13 - Measurements in Biology and Medicine

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