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Automatic Seed Point Selection in B-Mode Breast Ultrasound Images

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Sensors and Image Processing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 651))

Abstract

In order to reduce the processing time and complexity to detect the boundary of lesions in breast ultrasound (BUS) images, first step is selection of region of interest (ROI), which subsequently needs selection of seed point. Seed point is starting point that lies inside the lesion region. After selection of seed point, region growing techniques are used for segmentation of lesions or for selection of region of interest. Seed point can be selected manually, but it needs human interaction. To design a fully automatic breast ultrasound computer-aided diagnosis (CAD) system, an automatic seed point selection technique is required. In this paper, an automatic seed point detection technique is proposed. This technique is applied on 108 BUS images (57 benign and 51 malignant). Results are compared with other available methods. Quantitative experiment results show that this method could find the proper seed point for 95.3% BUS Images.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Punjabi University, Patiala, India

    Madan Lal &  Lakhwinder Kaur

Authors
  1. Madan Lal
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  2. Lakhwinder Kaur
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Correspondence to Madan Lal .

Editor information

Editors and Affiliations

  1. Gautam Buddha University, Greater Noida, Uttar Pradesh, India

    Shabana Urooj

  2. Department of Electrical and Instrumentation Engineering, Thapar University, Patiala, Punjab, India

    Jitendra Virmani

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Madan Lal, Lakhwinder Kaur (2018). Automatic Seed Point Selection in B-Mode Breast Ultrasound Images. In: Urooj, S., Virmani, J. (eds) Sensors and Image Processing. Advances in Intelligent Systems and Computing, vol 651. Springer, Singapore. https://doi.org/10.1007/978-981-10-6614-6_14

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  • DOI: https://doi.org/10.1007/978-981-10-6614-6_14

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6613-9

  • Online ISBN: 978-981-10-6614-6

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