Enhancement of Breast Images by Noise Reduction and MTF Compensation to Improve Microcalcifications Detection

Conference paper
Part of the IFMBE Proceedings book series (IFMBE, volume 25/4)


This work proposes a new method to improve the quality of mammographic image filtering the Poisson noise by using Anscombe Transform and Wiener Filter. After the noise filtering, it is performed an enhancement of this images by using a restoration inverse filter, obtained through the calculation of the mammographic unit Modulation Transfer Function (MTF). This pre-processing technique improved breast image quality by overcome the acquisition process constrains and increased the performance of a breast microcalcifications computer-aided detection algorithm.


Modulation Transfer Function Quantum Noise Wiener Filter Poisson Noise Mammographic Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  1. 1.Electrical Engineering DepartmentUniversidade de Sao PauloSao CarlosBrasil

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