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An efficient microcalcifications detection based on dual spatial/spectral processing

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Abstract

Microcalcifications are tiny deposits of calcium located in breast tissue. They appeared as very small highlighted regions in comparison with their surrounding tissue. Spatial non linear enhancement can be applied for microcalcification detection. However, efficiency of a such approach depends on breast density: in case of extreme breast density, the contrast between microcalcification’s details and their surrounding tissue is attenuated leading to a limitation of spatially based approaches. In that case, frequency analysis such as wavelet based analysis can be more relevant for dissociating microcalcifications. The main goal of Computer Aided Detection systems (CAD) is to detect breast cancer at an early stage for all breast density classes by using entropies to enhance and then detect microcalcification details. Accordingly, we combine our approach a spatial Automatic Non Linear Stretching (ANLS) and Shannon Entropy based Wavelet Coefficient Thresholding (SE_WCT). Validation of the proposed approach is done on the Mammographic Image Analysis Society (MIAS) database. The evaluation of the contrast is based on the Second-Derivative-Like measure of enhancement(SDME). Accordingly, it yields to a mean SDME of 78.8dB on the whole database. The performance metric for evaluating our proposed CAD is the Receiver Operating Characteristic(ROC) curve and the free-response ROC (FROC). An area under the ROC curve A z = 0.92 is obtained as well as 97.14 % of True Positives (TP) with 0,48 False positives per image (FP).

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Acknowledgements

The authors would like to thank DR. Abid Riadh, radiologist at El Farabi Imaging center, Sfax, Tunisia, and at the Faculty of Medicine of Sfax for his helpful discussions and advices.

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Authors and Affiliations

  1. Control and Energy Management (CEM) Laboratory, Sfax Engineering School, University of Sfax, BP W, 3038, Sfax, Tunisia

    Mouna Zouari Mehdi

  2. Research Center for Computer Science and Multimedia of Sfax, Control and Energy Management (CEM) Laboratory, Sfax, Tunisia

    Norhene Gargouri Ben Ayed

  3. Faculty of Sciences of Sfax, Control and Energy Management (CEM) Laboratory, Sfax, Tunisia

    Alima Damak Masmoudi

  4. Control and Energy Management (CEM) Laboratory, Sfax Engineering School, Sfax, Tunisia

    Dorra Sellami

  5. El Farabi Radiology Center, 14 Janvier Avenue, 3000, Sfax, Tunisia

    Riadh Abid

Authors
  1. Mouna Zouari Mehdi
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  2. Norhene Gargouri Ben Ayed
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  3. Alima Damak Masmoudi
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  4. Dorra Sellami
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  5. Riadh Abid
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Correspondence to Mouna Zouari Mehdi.

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Mehdi, M.Z., Ben Ayed, N.G., Masmoudi, A.D. et al. An efficient microcalcifications detection based on dual spatial/spectral processing. Multimed Tools Appl 76, 13047–13065 (2017). https://doi.org/10.1007/s11042-016-3703-9

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  • DOI: https://doi.org/10.1007/s11042-016-3703-9

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