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Supercomputer Simulations in Development of 3D Ultrasonic Tomography Devices

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Supercomputing (RuSCDays 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1331))

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Abstract

This study aims to determine the optimal characteristics of ultrasound tomographic scanners for differential breast cancer diagnosis. Numerical simulations of various tomographic schemes were performed on a supercomputer. The parameters of simulations were matched to those of physical experiments. One of the most important problems in designing a tomographic scanner is the choice of a tomographic examination scheme. The layer-by-layer (“2.5D”) scheme is the most widely used in medical and industrial tomography. In this scheme, the inverse problem is solved for each 2D plane separately. A fully 3D tomographic scheme is an alternative variant, in which the acoustic properties of the object are reconstructed as 3D images. This study shows that the layered 2.5D scheme has limited capabilities and cannot be used for precise tissue characterization in a general case. The paper presents a comparison of 2.5D and 3D image reconstruction methods in terms of vertical and horizontal resolution, computational complexity of the methods and technical parameters of tomographic scanners. The inverse problem of tomographic image reconstruction is posed as a coefficient inverse problem for the wave equation. The reconstruction algorithms are designed for GPU clusters.

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Acknowledgements

The work is carried out according to the research program of Moscow Center of Fundamental and Applied Mathematics. The research is carried out using the equipment of the shared research facilities of HPC computing resources at Lomonosov Moscow State University.

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Authors and Affiliations

  1. Moscow Center of Fundamental and Applied Mathematics, Moscow, Russia

    Alexander Goncharsky & Sergey Seryozhnikov

Authors
  1. Alexander Goncharsky
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  2. Sergey Seryozhnikov
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Correspondence to Sergey Seryozhnikov .

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Editors and Affiliations

  1. Research Computing Center (RCC), Moscow State University, Moscow, Russia

    Vladimir Voevodin

  2. Research Computing Center (RCC), Moscow State University, Moscow, Russia

    Sergey Sobolev

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Goncharsky, A., Seryozhnikov, S. (2020). Supercomputer Simulations in Development of 3D Ultrasonic Tomography Devices. In: Voevodin, V., Sobolev, S. (eds) Supercomputing. RuSCDays 2020. Communications in Computer and Information Science, vol 1331. Springer, Cham. https://doi.org/10.1007/978-3-030-64616-5_31

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  • DOI: https://doi.org/10.1007/978-3-030-64616-5_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-64615-8

  • Online ISBN: 978-3-030-64616-5

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