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Tumour Classification

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An Introduction to Microwave Imaging for Breast Cancer Detection

Part of the book series: Biological and Medical Physics, Biomedical Engineering ((BIOMEDICAL))

Abstract

Recent breast tissue dielectric spectroscopy measurements in [35] suggest that the malignant-to-benign dielectric contrast may not be sufficiently high to allow for tumour classification based on backscatter intensity. Alternatively, it is well known that the architectural distortion in breast parenchyma can aid in distinguishing malignant tumours from benign masses [56, 65]. Mammographic image analysis shows that malignant tumours usually have an irregular shape and are surrounded by a radiating pattern of linear spicules, also their margins are obscured and indistinct. Conversely, benign tumours are roughly elliptical and usually have well-circumscribed margins [56, 65]. Accordingly, microwave backscatter signature—the signal which is reflected when a target is illuminated by microwaves—could be potentially useful for discrimination between benign and malignant tumours, and for inferring their size. Tomographic image reconstruction methods, which solve the inverse scattering problem to obtain a coarse estimation of the breast dielectric profile, have been used in this context [19].

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Authors and Affiliations

  1. Faculdade de Ciências, Instituto de Biofísica e Engenharia Biomédica, Universidade de Lisboa, Lisbon, Portugal

    Raquel Cruz Conceição

  2. Medical Device Research Group, Translational Research Facility, National University of Ireland, Galway, Ireland

    Marggie Jones

  3. King’s College London, Strand, London, UK

    Panagiotis Kosmas

  4. South University of Science and Technology of China, Shenzhen, China

    Yifan Chen

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  1. Raquel Cruz Conceição
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  2. Marggie Jones
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  3. Panagiotis Kosmas
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  4. Yifan Chen
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Correspondence to Raquel Cruz Conceição .

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  1. Universidade de Lisboa , Lisboa, Portugal

    Raquel Cruz Conceição

  2. København NV, Denmark

    Johan Jacob Mohr

  3. Electrical and Electronic Engineering, National University of Ireland Galway, Galway, Ireland

    Martin O'Halloran

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Conceição, R.C., Jones, M., Kosmas, P., Chen, Y. (2016). Tumour Classification. In: Conceição, R., Mohr, J., O'Halloran, M. (eds) An Introduction to Microwave Imaging for Breast Cancer Detection. Biological and Medical Physics, Biomedical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-27866-7_5

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