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Breast Lesion Segmentation Method Using Ultrasound Images

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Innovations in Biomedical Engineering (IBE 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 925))

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Abstract

Breast cancer is one of the leading causes of death among women. A non-invasive ultrasound examination enables the location and type of lesion. The radiologist, based on the 2D ultrasound image, estimates the volume of the lesion and performs a core needle biopsy procedure. The lesion segmentation may support the diagnostic and therapeutic process. The purpose of this study is to develop a method of breast tumor segmentation using two-dimensional ultrasound images. The lesion mask is based on the fusion of several methods. The proposed method employs active contour models, gradient vector flow, region growing, thresholding, image gradient, watershed transform and morphological operations. The effectiveness of the method was checked with Dice, Jaccard and specificity coefficients. Median values were 0.915, 0.862 and 0.996, respectively.

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Acknowledgements

This research was partially supported by the Polish National Centre for Research and Development (NCBR), grant no. STRATEGMED2 /267398/3/NCBR/2015.

The authors would also like to thank Andre Woloshuk for his English language corrections.

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Authors and Affiliations

  1. Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800, Zabrze, Poland

    Agata Wijata, Bartłomiej Pyciński, Marta Galińska & Dominik Spinczyk

Authors
  1. Agata Wijata
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  2. Bartłomiej Pyciński
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  3. Marta Galińska
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  4. Dominik Spinczyk
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Corresponding author

Correspondence to Agata Wijata .

Editor information

Editors and Affiliations

  1. Faculty of Biomedical Engineering, Department of Biosensors and Biomedical Signals Processing, Silesian University of Technology, Zabrze, Poland

    Ewaryst Tkacz

  2. Faculty of Biomedical Engineering, Department of Biosensors and Biomedical Signals Processing, Silesian University of Technology, Zabrze, Poland

    Marek Gzik

  3. Faculty of Biomedical Engineering, Department of Biosensors and Biomedical Signals Processing, Silesian University of Technology, Zabrze, Poland

    Zbigniew Paszenda

  4. Faculty of Biomedical Engineering, Department of Biosensors and Biomedical Signals Processing, Silesian University of Technology, Zabrze, Poland

    Ewa Piętka

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Wijata, A., Pyciński, B., Galińska, M., Spinczyk, D. (2019). Breast Lesion Segmentation Method Using Ultrasound Images. In: Tkacz, E., Gzik, M., Paszenda, Z., Piętka, E. (eds) Innovations in Biomedical Engineering. IBE 2018. Advances in Intelligent Systems and Computing, vol 925. Springer, Cham. https://doi.org/10.1007/978-3-030-15472-1_3

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