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Confidence Weighted Local Phase Features for Robust Bone Surface Segmentation in Ultrasound

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Clinical Image-Based Procedures. Translational Research in Medical Imaging (CLIP 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8680))

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Abstract

Ultrasound (US) image guidance in orthopaedic surgery is emerging as a viable non-invasive alternative to the currently dominant radiation-based modalities. Though it offers many advantages including reduced imaging costs and safer operation, the relatively low US image quality complicates data processing and visualization. We propose a novel approach for robust bone localization that integrates multiple US image features including local phase information, local signal attenuation, and bone shadowing to robustly segment bone surfaces. We demonstrate the advantages of our approach in different contexts including improved segmentation quality, increased registration accuracy, and decreased sensitivity to parameter setting. We present quantitative and qualitative validation on a bovine femur phantom and on real-life clinical pelvis US data from 18 trauma patients using computed tomography (CT) image sets as ground truth.

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC, Canada

    Niamul Quader & Rafeef Abugharbieh

  2. Department of Mechanical Engineering, The University of British Columbia, Vancouver, BC, Canada

    Antony Hodgson

Authors
  1. Niamul Quader
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  2. Antony Hodgson
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  3. Rafeef Abugharbieh
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Corresponding author

Correspondence to Niamul Quader .

Editor information

Editors and Affiliations

  1. Children’s National Health System, Washington, District of Columbia, USA

    Marius George Linguraru

  2. Fraunhofer IGD, Darmstadt, Germany

    Cristina Oyarzun Laura

  3. Children’s National Health System, Washington, District of Columbia, USA

    Raj Shekhar

  4. Fraunhofer IGD, Darmstadt, Germany

    Stefan Wesarg

  5. ICREA - Universitat Pompeu Fabra, Barcelona, Spain

    Miguel Ángel González Ballester

  6. Fraunhofer IGD, Darmstadt, Germany

    Klaus Drechsler

  7. Nara Institute of Science and Technology (NAIST), Ikoma, Nara, Japan

    Yoshinobu Sato

  8. Fraunhofer IDM@NTU, Singapore, Singapore

    Marius Erdt

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© 2014 Springer International Publishing Switzerland

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Quader, N., Hodgson, A., Abugharbieh, R. (2014). Confidence Weighted Local Phase Features for Robust Bone Surface Segmentation in Ultrasound. In: Linguraru, M., et al. Clinical Image-Based Procedures. Translational Research in Medical Imaging. CLIP 2014. Lecture Notes in Computer Science(), vol 8680. Springer, Cham. https://doi.org/10.1007/978-3-319-13909-8_10

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  • DOI: https://doi.org/10.1007/978-3-319-13909-8_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13908-1

  • Online ISBN: 978-3-319-13909-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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