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In the last few years, Ultrasound Computed Tomography (USCT) techniques has become an attractive and hot research area. Herein, we present a robust iterative USCT reconstruction algorithm, which based on bent ray theory. The object to be imaged is encircled by uniformly distributed transduc-ers, whereas one transducer acts as a transmitter and the remains work as receivers. The travel-time meas-urements can be used to estimate the sound speed distribution by solving a nonlinear system of equations. Our proposed scheme is based on the straight ray approximation, which is valid for breast ultrasound tomographic imaging. On this basis, we have formulated a cost function that defines the difference be-tween the measured first arrivals and those calculated for a given velocity model in the least squares sense. Then, the sound speed image can be obtained by finding the best solution which minimize this dif-ference. Our method is able to resolve very fine details even in very complex structured objects. The pre-sented results approve the accuracy and robustness of our approach for breast screening application
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