Mammography image detection processing for automatic micro-calcification recognition

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

chilean journal of statistics

Chilean Statistical Society

Lugar: Santiago; 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 irradiation parameters set within protocols recommendations (minimal dose delivering). This work presents a whole investigation about mammography image formation by means of vali- dated Monte Carlo simulations along with corresponding dedicated image analysis and processing. Particulary, four different image processing methods are considered, suit- ably introduced and investigated according to their capability for micro-calcification detection. The obtained results suggest the feasibility of all the proposed method. Fur- thermore, we characterize the reliability of each one and to infer the corresponding advantages/disadvantages