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Algorithm for the Fusion of Ultrasound Tomography Breast Images Allowing Automatic Discrimination Between Benign and Malignant Tumors in Screening Tests

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Information Technology in Biomedicine (ITIB 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 762))

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Abstract

This paper presents an algorithm which allows a multi-para-meter in vivo visualization of a breast structure by fusing two quantitative ultrasound tomography images and by automatically identifying areas of fat and glandular tissue, as well as areas of benign or malignant lesions, with the background of the reflection ultrasound tomography image of structures scattering ultrasonic waves. The threshold values for identifying particular tissue areas in quantitative images were adjusted to patient age using empirical linear functions. The viability of the algorithm was confirmed in preliminary in vivo breast ultrasound tomography screening tests. The obtained results allow a prediction that the ultrasound tomography scanner, which uses the here-presented algorithm to fuse the reconstructed images, and which is currently deployed by the private investor in cooperation with the authors of this paper, will provide a new standard in breast cancer diagnostics through fast and cheap screening tests.

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Author information

Authors and Affiliations

  1. Faculty of Electronics, Wroclaw University of Science and Technology, Wroclaw, Poland

    Krzysztof J. Opieliński & Piotr Pruchnicki

  2. Dramiński S.A. Ultrasound Scanners, Olsztyn, Poland

    Andrzej Wiktorowicz

  3. Faculty of Medicine, Collegium Medicum, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland

    Marcin Jóźwik

  4. Gyneka Center for Woman’s Health, Krakow, Poland

    Marcin Jóźwik

Authors
  1. Krzysztof J. Opieliński
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  2. Piotr Pruchnicki
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  3. Andrzej Wiktorowicz
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  4. Marcin Jóźwik
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Corresponding author

Correspondence to Krzysztof J. Opieliński .

Editor information

Editors and Affiliations

  1. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Ewa Pietka

  2. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Pawel Badura

  3. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Jacek Kawa

  4. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Wojciech Wieclawek

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Opieliński, K.J., Pruchnicki, P., Wiktorowicz, A., Jóźwik, M. (2019). Algorithm for the Fusion of Ultrasound Tomography Breast Images Allowing Automatic Discrimination Between Benign and Malignant Tumors in Screening Tests. In: Pietka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technology in Biomedicine. ITIB 2018. Advances in Intelligent Systems and Computing, vol 762. Springer, Cham. https://doi.org/10.1007/978-3-319-91211-0_11

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