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
Download:
IMEKO-WC-2012-TC13-P3.pdf
DOI:
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Event details
Event name:
XX IMEKO World Congress
Title:

Metrology for Green Growth

Place:
Busan, REPUBLIC of KOREA
Time:
09 September 2012 - 12 September 2012