Multiscale segmentation and enhancement in mammograms

A multiscale method for segmenting and enhancing lesions of various sizes in mammograms is presented. The method uses two stages. The first stage applies a multiscale automatic threshold estimator based on histogram moments to segment the mammogram at multilevels. The second stage converts the segmented image using pseudo-colour mapping to produce a colour image. An algorithm is presented as well as experimental results. Mammograms are digitalised using a table scanner with a transparency adapter and the algorithm is implemented in Borland C++ 4.02 on a 486 PC. The results are analogous to a breast map which provide an adequate basis for radiological breast tissue differentiation and analysis in digital mammography. Experimental results and judgments from radiological experts are very encouraging.

[1]  D Brzakovic,et al.  An approach to automated detection of tumors in mammograms. , 1990, IEEE transactions on medical imaging.

[2]  Berkman Sahiner,et al.  An adaptive density-weighted contrast enhancement filter for mammographic breast mass detection , 1996, IEEE Trans. Medical Imaging.

[3]  Geraldine F. Hoemke.  Breast Disease for Radiographers , 1989 .

[4]  S. L. Wood,et al.  Segmentation of grey scale sampled images with bimodal source models , 1992, [1992] Conference Record of the Twenty-Sixth Asilomar Conference on Signals, Systems & Computers.

[5]  Jian Fan,et al.  Mammographic feature enhancement by multiscale analysis , 1994, IEEE Trans. Medical Imaging.

[6]  B. Macq,et al.  Morphological feature extraction for the classification of digital images of cancerous tissues , 1996, IEEE Transactions on Biomedical Engineering.

[7]  L. D. Hostetler,et al.  SAR clutter suppression using probability density skewness , 1994 .

[8]  Rangaraj M. Rangayyan,et al.  Application of shape analysis to mammographic calcifications , 1994, IEEE Trans. Medical Imaging.

[9]  L. Tabár,et al.  The control of breast cancer through mammography screening. What is the evidence? , 1987, Radiologic clinics of North America.

[10]  William R. Brody,et al.  Detection of microcalcification clusters using neural networks , 1994, Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[11]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[12]  P. G. Tahoces,et al.  Enhancement of chest and breast radiographs by automatic spatial filtering. , 1991, IEEE transactions on medical imaging.