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Automatic Estimation of the Optic Nerve Sheath Diameter from Ultrasound Images

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Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound (BIVPCS 2017, POCUS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10549))

Abstract

We present an algorithm to automatically estimate the diameter of the optic nerve sheath from ocular ultrasound images. The optic nerve sheath diameter provides a proxy for measuring intracranial pressure, a life threating condition frequently associated with head trauma. Early treatment of elevated intracranial pressures greatly improves outcomes and drastically reduces the mortality rate. We demonstrate that the proposed algorithm combined with a portable ultrasound device presents a viable path for early detection of elevated intracranial pressure in remote locations and without access to trained medical imaging experts.

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Notes

  1. 1.

    https://github.com/KitwareMedical/UltrasoundOpticNerveEstimation.

  2. 2.

    https://github.com/KitwareMedical/UltrasoundIntersonApps.

References

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Author information

Authors and Affiliations

  1. Kitware Inc, Carrboro, NC, 27510, USA

    Samuel Gerber, Maeliss Jallais, Hastings Greer, Matt McCormick, Deepak Chittajallu, Neal Siekierski & Stephen Aylward

  2. Duke University, Durham, USA

    Sean Montgomery

  3. Washington University, St. Louis, USA

    Bradley Freeman & Deborah Kane

Authors
  1. Samuel Gerber
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  2. Maeliss Jallais
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  3. Hastings Greer
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  4. Matt McCormick
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  5. Sean Montgomery
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  6. Bradley Freeman
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  7. Deborah Kane
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  8. Deepak Chittajallu
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  9. Neal Siekierski
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  10. Stephen Aylward
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Corresponding author

Correspondence to Samuel Gerber .

Editor information

Editors and Affiliations

  1. University College London, London, United Kingdom

    M. Jorge Cardoso

  2. McGill University, Montreal, Québec, Canada

    Tal Arbel

  3. Universidade do Porto, Porto, Portugal

    João Manuel R.S. Tavares

  4. Kitware Inc., Carrboro, North Carolina, USA

    Stephen Aylward

  5. University of Western Ontario, London, Ontario, Canada

    Shuo Li

  6. Johns Hopkins University, Baltimore, Maryland, USA

    Emad Boctor

  7. Queen’s University, Kingston, Ontario, Canada

    Gabor Fichtinger

  8. Children’s National Medical Center, Washington, District of Columbia, USA

    Kevin Cleary

  9. Washington University Medical Center, St. Louis, Missouri, USA

    Bradley Freeman

  10. InnerOptic Technology, Hillsborough, North Carolina, USA

    Luv Kohli

  11. Washington University Medical Center, St. Louis, Missouri, USA

    Deborah Shipley Kane

  12. Children’s National Medical Center, Washington, District of Columbia, USA

    Matt Oetgen

  13. Brigham and Women’s Hospital, Boston, Massachusetts, USA

    Sonja Pujol

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© 2017 Springer International Publishing AG

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Gerber, S. et al. (2017). Automatic Estimation of the Optic Nerve Sheath Diameter from Ultrasound Images. In: Cardoso, M., et al. Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound. BIVPCS POCUS 2017 2017. Lecture Notes in Computer Science(), vol 10549. Springer, Cham. https://doi.org/10.1007/978-3-319-67552-7_14

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  • DOI: https://doi.org/10.1007/978-3-319-67552-7_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67551-0

  • Online ISBN: 978-3-319-67552-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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