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Automatic extraction of bone surfaces from 3D ultrasound images in orthopaedic trauma cases

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Purpose

3D ultrasound (US) imaging has the potential to become a powerful alternative imaging modality in orthopaedic surgery as it is radiation-free and can produce 3D images (in contrast to fluoroscopy) in near-real time. Conventional B-mode US images, however, are characterized by high levels of noise and reverberation artifacts, image quality is user-dependent, and bone surfaces are blurred, which makes it difficult to both interpret images and to use them as a basis for navigated interventions. 3D US has great potential to assist orthopaedic care, possibly assisting during surgery if the anatomical structures of interest could be localized and visualized with sufficient accuracy and clarity and in a highly automated rapid manner.

Methods

In this paper, we present clinical results for a novel 3D US segmentation technique we have recently developed based on multi-resolution analysis to localize bone surfaces in 3D US volumes. Our method is validated on scans obtained from 29 trauma patients with distal radius and pelvic ring fractures.

Results

Qualitative and quantitative results demonstrate remarkably clear segmentations of bone surfaces with an average surface fitting error of 0.62 mm (standard deviation (SD) of 0.42 mm) for pelvic patients and 0.21 mm (SD 0.14 mm) for distal radius patients.

Conclusions

These results suggest that our technique is sufficiently accurate for potential use in orthopaedic trauma applications.

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Acknowledgments

The authors acknowledge the support of the Natural Sciences and Engineering Research of Council of Canada and Canadian Institutes of Health Research for this work.

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Authors and Affiliations

  1. Department of Biomedical Engineering, Rutgers University, 599 Taylor Road, Piscataway, 08854, NJ, USA

    Ilker Hacihaliloglu

  2. Department of Orthopaedics, University of British Columbia, Vancouver, BC, Canada

    Pierre Guy

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

    Antony J. Hodgson

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

    Rafeef Abugharbieh

Authors
  1. Ilker Hacihaliloglu
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  2. Pierre Guy
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  3. Antony J. Hodgson
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  4. Rafeef Abugharbieh
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Corresponding author

Correspondence to Ilker Hacihaliloglu.

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Hacihaliloglu, I., Guy, P., Hodgson, A.J. et al. Automatic extraction of bone surfaces from 3D ultrasound images in orthopaedic trauma cases. Int J CARS 10, 1279–1287 (2015). https://doi.org/10.1007/s11548-014-1141-6

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  • DOI: https://doi.org/10.1007/s11548-014-1141-6

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