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B-Mode Ultrasound Imaging System Using Raspberry Pi

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XXVII Brazilian Congress on Biomedical Engineering (CBEB 2020)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 83))

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Abstract

The B-mode ultrasound imaging represents one of the main imaging methods in medical diagnosis. To improve the quality of generated images, new approaches and techniques for digital signal processing based on hardware and software platforms are being introduced nowadays. This article shows the implementation and evaluation of digital signal processing algorithms on the Raspberry Pi using Python programming language for B-mode image reconstruction. The proposed steps include digital filtering, focusing delay, coherent summation, demodulation with envelope detection, and logarithmic compression. To validate the implemented algorithm, 12-bit sampled data with a frequency of 40 MHz were used. Qualitative and quantitative analyses using the Normalized Root Mean Squared Error (NRMSE) and the Normalized Residual Sum of Squares (NRSS) cost functions show results compatible with the reference model in Matlab and validated in previous studies. All NRMSE results were less than 10% and NRSS results were close to zero, indicating excellent agreement with the reference Matlab model.

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Acknowledgements

The authors would like to thank the following Brazilian organizations: Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Financiadora de Estudos e Projetos (FINEP), Araucária Foundation, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Federal University of Technology—Paraná (UTFPR), and the Ministry of Health for their financial support that made our research possible.

Conflict of Interest

The authors declare that they have no conflict of interest.

Author information

Authors and Affiliations

  1. CPGEI/PPGSE/DAELN/DAELT, Federal University of Technology—Paraná (UTFPR), Av. Sete de Setembro, Rebouças, Curitiba, 3165, Brazil

    R. A. C. Medeiros, A. A. Assef, J. de Oliveira & J. M. Maia

  2. School of Electrical and Computing Engineering (FEEC), Center for Biomedical Engineering (CEB), University of Campinas (UNICAMP), Campinas, Brazil

    E. T. Costa

Authors
  1. R. A. C. Medeiros
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  2. A. A. Assef
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  3. J. de Oliveira
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  4. J. M. Maia
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  5. E. T. Costa
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Universidade Federal do Espírito Santo, Vitória, Brazil

    Teodiano Freire Bastos-Filho

  2. Department of Electrical Engineering, Universidade Federal do Espírito Santo, Vitória, Brazil

    Eliete Maria de Oliveira Caldeira

  3. Department of Electrical Engineering, Universidade Federal do Espírito Santo, Vitória, Brazil

    Anselmo Frizera-Neto

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Medeiros, R.A.C., Assef, A.A., de Oliveira, J., Maia, J.M., Costa, E.T. (2022). B-Mode Ultrasound Imaging System Using Raspberry Pi. In: Bastos-Filho, T.F., de Oliveira Caldeira, E.M., Frizera-Neto, A. (eds) XXVII Brazilian Congress on Biomedical Engineering. CBEB 2020. IFMBE Proceedings, vol 83. Springer, Cham. https://doi.org/10.1007/978-3-030-70601-2_136

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  • DOI: https://doi.org/10.1007/978-3-030-70601-2_136

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-70600-5

  • Online ISBN: 978-3-030-70601-2

  • eBook Packages: EngineeringEngineering (R0)

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