Vol.5 No.2 (April 2015)
The Research on Preprocessing for the Gray-Scale Ultrasound Breast Tumor Images of 76 Cases
刘 奇 ：四川大学，四川 成都
This paper mainly focuses on the gray-scale ultrasound breast tumor images. According to the characteristics of ultrasonic image and shortcomings of the P-M model, a modified P-M model filter with local information and spread threshold is proposed. All common pretreatment algorithms are put into experiments and a comparison is made among them. The results show that the modified P-M model filter can more effectively remove the speckle noise.
张瑞娟 , 刘 晴 , 刘 奇 (2015) 76例乳腺肿瘤超声图像预处理研究。 生物医学， 5， 9-16. doi: 10.12677/HJBM.2015.52002
 Hooley, R.J. and Andrejeve, L. and Scoutt, L.M. (2011) Breast cancer screening and problem solving using mammo-graphy ultrasound and magnetic resonance imaging. Ultrasound Quarterly, 27, 23-47.
 曹秋月, 黄敏, 等 (2012) 乳腺癌超声诊断的现状和进展. 临床超声医学杂志, 3, 183-185.
 Athanasiou, A., Tardivon, A., Ollivier, L., Thibault, F., El Khoury, C. and Neuenschwander, S. (2009) How to optimize breast ultrasound. European Journal of Radiology, 69, 6-13.
 张聚, 王陈, 程芸 (2014) 小波与双边滤波的医学超声图像去噪. 中国图像图形学报, 1, 126-132.
 Gupa, N., Swamy, M.N. and Plotkin, E. (2005) Despeckling of medical ultrasound images using data rate adaptive lossy compression. IEEE Transactions on Medical Imaging, 24, 743-754.
 Coupe, P., Hellier, P., Kervrann, C. and Barillot, C. (2009) Nonlocal means-based speckle filtering for ultrasound images. IEEE Transactions on Image Processing, 18, 2221-2229.
 Perona, P. and Malik, J. (1990) Scale space and edge detection using anisotropic diffusion. IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 629-639.