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Texture-Based Fuzzy Connectedness Algorithm for Fetal Ultrasound Image Segmentation for Biometric Measurements

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Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1048))

Abstract

Fuzzy connectedness segmentation approach guided by texture properties of the image is proposed for segmenting fetal organs such as femur, cranial bones, and abdomen from ultrasound images. This semiautomatic segmentation technique is proposed for fetal biometric measurements of biparietal diameter, head circumference, occipital diameter, femur length, and abdominal circumference. The texture information in the ultrasound images guides the fuzzy connectedness algorithm for efficient segmentation of fetal structures and thereby accurate biometric measurements. The proposed algorithm is compared with the manual segmentation of an expert and evaluation is performed with respect to region-based and distance-based metrics. The performance evaluation indicates that the proposed technique is comparable to manual segmentation results across all gestational ages.

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Authors and Affiliations

  1. Government College of Technology, Coimbatore, 641013, India

    S. Jayanthi Sree

  2. Government College of Engineering, Salem, 636011, India

    C. Vasanthanayaki

Authors
  1. S. Jayanthi Sree
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  2. C. Vasanthanayaki
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Corresponding author

Correspondence to S. Jayanthi Sree .

Editor information

Editors and Affiliations

  1. Department of Mathematics, National Institute of Technology Silchar, Silchar, Assam, India

    Kedar Nath Das

  2. Department of Mathematics, South Asian University, New Delhi, Delhi, India

    Jagdish Chand Bansal

  3. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  4. Department of Mathematics, Faculty of Science, Liverpool Hope University, Liverpool, UK

    Atulya K. Nagar

  5. School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India

    Ponnambalam Pathipooranam

  6. School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India

    Rani Chinnappa Naidu

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Jayanthi Sree, S., Vasanthanayaki, C. (2020). Texture-Based Fuzzy Connectedness Algorithm for Fetal Ultrasound Image Segmentation for Biometric Measurements. In: Das, K., Bansal, J., Deep, K., Nagar, A., Pathipooranam, P., Naidu, R. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 1048. Springer, Singapore. https://doi.org/10.1007/978-981-15-0035-0_8

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