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Detection of specific areas and densities for ultrasound tomography

Victoria Erofeeva, Vasilisa Galyamina, Oleg Granichin, Kseniia Gonta, Anna Leonova, Vikentiy Pankov, Stepan Trofimov, Munira Tursunova, Mingyue Ding, Ming Yuchi, Xiaoyue Fang
In this paper we consider the problem of ultrasound tomography. Recently, an increased interest in ultrasound tomography has been caused by non-invasiveness of the method and increased detection accuracy (as compared to radiation tomography), and also ultrasound tomography does not put at risk human health. We study possibilities of detection of specific areas and determining their density using ultrasound tomography data. The process of image reconstruction based on ultrasound data is computationally complex and time consuming. It contains the following parts: calculation of the time-of-flight (TOF) of a signal, detection of specific areas, calculation of density of specific areas. The calculation of the arrival time of a signal is a very important part, because the errors in the calculation of quantities strongly influence the total problem solution. We offer ultrasound imaging reconstruction technology that can be easily parallelized.
The whole process is described: from extracting the arrival times of signals raw data feeding from physical receivers to obtaining the desired results.
CYBERNETICS AND PHYSICS, Vol. 8, No. 3. 2019, 121-127. https://doi.org/10.35470/2226-4116-2019-8-3-121-127
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