A Method for Mammographic Image Denoising Based on Hierarchical Correlations of the Coefficients of Wavelet Transforms

摘要：

　　In this work the authors present an effective denoising method to attempt to reduce the noise in mammographic images.The method is based on using hierarchical correlation of the coefficients of discrete stationary wavelet transforms.The features of the proposed technique include iterative use of undecimated multi-directional wavelet transforms at adjacent scales.To validate the proposed method,computer simulations were conducted,followed by its applications to clinical mammograms.Mutual information originating from information theory was used as an evaluation measure in the present study.Moreover,we conducted a perceptual evaluation of the processed images obtained from the proposed method and other conventional methods for confirmation of the effectiveness of the proposed approach.The experimental results show that our proposed method has the potential to effectively reduce noise while maintaining high-frequency information of original images.

关键词： mammography image processing wavelet transform denoising image quality

作者: E. Matsuyama D.Y. Tsai Y. Lee H. Watanabe K. Kojima

作者单位: Department of Radiological Technology, Graduate School of Health Sciences, Niigata University, Niiga Department of Business Administration, Graduate School of Business Administration, Hamamatsu Univers

会议类型: 国际会议

会议名称: World Congress on Medical Physics and Biomedical Engineering (2012年医学物理及生物医学工程国际会议(IFMBE))

会议地点: 北京

会议语种:英文

页码: 872-875

在线出版日期: 2012-05-26（万方平台首次上网日期，不代表论文的发表时间）