Mammography image detection processing for automatic micro-calcifications recognition

C. QUINTANA; S. OJEDA; G. TIRAO; M. VALENTE

Chilean Journal of statistics

Chilean J. of Statistics

Año: 2011 vol. 2 p. 69 - 79

0718-7912

It is well known worldwide that mammography imaging proved to be the best non in-vasive method for breast cancer diagnosis. However, it is required to have irradiationparameters set within protocols recommendations (minimal dose delivering). This workpresents a whole investigation about mammography image formation by means of validated Monte Carlo simulations along with corresponding dedicated image analysis andprocessing. Particulary, four different image processing methods are considered, suitably introduced and investigated according to their capability for micro-calcificationdetection. The obtained results suggest the feasibility of all the proposed method. Furthermore, we characterize the reliability of each one and to infer the correspondingadvantages/disadvantages.