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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)

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.

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Correspondence to Samuel Gerber .

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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

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  • 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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