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This paper proposes a method to detect breast cancer using quantitative ultrasound (QUS). The method is for estimating mean scatterer spacing (MSS) of normal and pathological breast tissues. MSS has been found to be diﬀerent for normal and pathological breast tissues. The estimation of MSS was accomplished using empirical mode decomposition analysis of backscatter radio-frequency (RF) signals. The RF signals for normal and pathological tissue samples were generated using Field II software. Numerical phantoms mimicking normal and pathological breast tissue were prepared in Matlab. Each tissue was composed of regular (indicating ducts/lobules) and diﬀuse (imitating fat tissue inhomogeneities) scatterers. The numerical values of spacing of regular scatterers for normal and pathological breast tissues were taken as 238.09 and 333.33 µm, respectively. The MSS for normal breast tissue was found to be 246 µm (error <3%); for pathological breast tissue, it was 339 µm (error <2%). The simulation results show that it may be possible to distinguish between normal and pathological breast tissues using the method presented here. This method can be made more robust by using other QUS parameters to increase detection eﬃciency.
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