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Features of Internal Jugular Vein Contours for Classification

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Advances in Visual Computing (ISVC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10073))

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Abstract

Portable ultrasound is commonly used to image blood vessels such as the Inferior Vena Cava or Internal Jugular Vein (IJV) in the attempt to estimate patient intravascular volume status. A large number of features can be extracted from a vessel’s cross section. This paper examines the role of shape factors and statistical moment descriptors to classify healthy subjects enrolled in a simulation modeling relative changes in volume status. Features were evaluated using a range of selection methods and tested with a variety of classifiers. It was determined that a subset of features derived from moments are the most appropriate for this task.

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Author information

Authors and Affiliations

  1. Computer Engineering Department, Memorial University, St. John’s, Canada

    Jordan P. Smith & Mohamed Shehata

  2. Discipline of Family Medicine, Memorial University, St. John’s, Canada

    Andrew J. Smith

  3. C-CORE, St. John’s, Canada

    Peter F. McGuire

Authors
  1. Jordan P. Smith
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  2. Mohamed Shehata
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  3. Peter F. McGuire
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  4. Andrew J. Smith
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Corresponding author

Correspondence to Jordan P. Smith .

Editor information

Editors and Affiliations

  1. University of Nevada, Reno, Nevada, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, California, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, California, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, Nevada, USA

    Darko Koracin

  5. The Australian National University, O’Malley, Aust Capital Terr, Australia

    Fatih Porikli

  6. Pilot AI Labs, Redwood City, California, USA

    Sandra Skaff

  7. University of Florida, Gainesville, Florida, USA

    Alireza Entezari

  8. Google Inc., Mountain View, California, USA

    Jianyuan Min

  9. Osaka University, Osaka, Japan

    Daisuke Iwai

  10. The MOVES Institute, Monterey, California, USA

    Amela Sadagic

  11. University of Arizona, Tucson, Arizona, USA

    Carlos Scheidegger

  12. Université Paris-Sud, Orsay, France

    Tobias Isenberg

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Smith, J.P., Shehata, M., McGuire, P.F., Smith, A.J. (2016). Features of Internal Jugular Vein Contours for Classification. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2016. Lecture Notes in Computer Science(), vol 10073. Springer, Cham. https://doi.org/10.1007/978-3-319-50832-0_41

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  • DOI: https://doi.org/10.1007/978-3-319-50832-0_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50831-3

  • Online ISBN: 978-3-319-50832-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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