Mr. Daniel Flores-Tapia Profile

Daniel Flores-Tapia

at Univ of Manitoba

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Proceedings Article | 13 March 2006 Paper

Skin surface removal on breast microwave imagery using wavelet multiscale products

Daniel Flores-Tapia, Gabriel Thomas, Stephen Pistorius

Proceedings Volume 6143, 61433A (2006) https://doi.org/10.1117/12.659362

KEYWORDS: Wavelets, Skin, Reflection, Breast, Breast cancer, Cancer, Tissues, Microwave radiation, Detection and tracking algorithms, Stationary wavelet transform

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In many parts of the world, breast cancer is the leading cause mortality among women and it is the major cause of cancer death, next only to lung cancer. In recent years, microwave imaging has shown its potential as an alternative approach for breast cancer detection. Although advances have improved the likelihood of developing an early detection system based on this technology, there are still limitations. One of these limitations is that target responses are often obscured by surface reflections. Contrary to ground penetrating radar applications, a simple reference subtraction cannot be easily applied to alleviate this problem due to differences in the breast skin composition between patients. A novel surface removal technique for the removal of these high intensity reflections is proposed in this paper. This paper presents an algorithm based on the multiplication of adjacent wavelet subbands in order to enhance target echoes while reducing skin reflections. In these multiscale products, target signatures can be effectively distinguished from surface reflections. A simple threshold is applied to the signal in the wavelet domain in order to eliminate the skin responses. This final signal is reconstructed to the spatial domain in order to obtain a focused image. The proposed algorithm yielded promising results when applied to real data obtained from a phantom which mimics the dielectric properties of breast, cancer and skin tissues.

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