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International Conference on Medical Image Computing and Computer-Assisted Intervention

MICCAI 2012: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012 pp 82–89Cite as

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3D Ultrasound-CT Registration in Orthopaedic Trauma Using GMM Registration with Optimized Particle Simulation-Based Data Reduction

3D Ultrasound-CT Registration in Orthopaedic Trauma Using GMM Registration with Optimized Particle Simulation-Based Data Reduction

  • Ilker Hacihaliloglu19,
  • Anna Brounstein20,
  • Pierre Guy19,
  • Antony Hodgson21 &
  • …
  • Rafeef Abugharbieh20 
  • Conference paper
  • 4072 Accesses

  • 4 Citations

Part of the Lecture Notes in Computer Science book series (LNIP,volume 7511)

Abstract

Accurate real-time registration of intra-operative ultrasound (US) to computed tomography (CT) remains a challenging problem. In orthopedic applications, a recent promising approach proposed the use of Gaussian mixture modeling for bone surface registration. Though relatively successful, the method relied on naïve and error prone subsampling of the surfaces registered to reduce computational cost and also heavily relied on heuristically-set parameters for bone surface generation. In this paper, we present an improved approach employing a novel point simplification method that redistributes surface points to better represent the surface achieving near real-time registration with higher accuracy and robustness. We also present a framework for automating the parameter selection in the bone surface extraction step. For validation, we present extensive quantitative tests on phantom and clinical data obtained by scanning patients with pelvic ring fractures in the operating room. We show an 89% average improvement in target registration error over the recent GMM registration based method.

Keywords

  • intra-operative volume registration
  • 3D ultrasound to CT registration
  • orhopaedic imaging
  • real-time registration

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References

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Author information

Authors and Affiliations

  1. Departments of Orthopaedics, University of British Columbia, Vancouver, BC, Canada

    Ilker Hacihaliloglu & Pierre Guy

  2. Departments of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada

    Anna Brounstein & Rafeef Abugharbieh

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

    Antony Hodgson

Authors
  1. Ilker Hacihaliloglu
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  2. Anna Brounstein
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  3. Pierre Guy
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  4. Antony Hodgson
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  5. Rafeef Abugharbieh
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Editor information

Editors and Affiliations

  1. Project Team Asclepios, Inria Sophia Antipolis, 06902, Sophia-Antipolis, France

    Nicholas Ayache & Hervé Delingette & 

  2. MIT, CSAIL, 02139, Cambridge, MA, USA

    Polina Golland

  3. Information and Communication Headquarters, Nagoya University, 464-8603, Nagoya, Japan

    Kensaku Mori

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Hacihaliloglu, I., Brounstein, A., Guy, P., Hodgson, A., Abugharbieh, R. (2012). 3D Ultrasound-CT Registration in Orthopaedic Trauma Using GMM Registration with Optimized Particle Simulation-Based Data Reduction. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. MICCAI 2012. Lecture Notes in Computer Science, vol 7511. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33418-4_11

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  • DOI: https://doi.org/10.1007/978-3-642-33418-4_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33417-7

  • Online ISBN: 978-3-642-33418-4

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