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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 149–156Cite as

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Spatiotemporal Reconstruction of the Breathing Function

Spatiotemporal Reconstruction of the Breathing Function

  • D. Duong19,
  • D. Shastri20,
  • P. Tsiamyrtzis21 &
  • …
  • I. Pavlidis19 
  • Conference paper
  • 5434 Accesses

  • 3 Citations

  • 1 Altmetric

Part of the Lecture Notes in Computer Science book series (LNIP,volume 7510)

Abstract

Breathing waveform extracted via nasal thermistor is the most common method to study respiratory function in sleep studies. In essence, this is a temporal waveform of mean temperatures in the nostril region that at every time step collapses two-dimensional data into a single point. Hence, spatial heat distribution in the nostrils is lost along with valuable functional and anatomical cues. This article presents the construction and experimental validation of a spatiotemporal profile for the breathing function via thermal imaging of the nostrils. The method models nasal airflow advection by using a front-propagating level set algorithm with optimal parameter selection. It is the first time that the full two-dimensional advantage of thermal imaging is brought to the fore in breathing computation. This new multi-dimensional measure is likely to bring diagnostic value in sleep studies and beyond.

Keywords

  • Breathing
  • data visualization
  • sleep studies
  • thermal imaging

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Houston, Houston, TX, 77024, USA

    D. Duong & I. Pavlidis

  2. Department of Computer and Mathematical Sciences, University of Houston-Downtown, Houston, TX, 77002, USA

    D. Shastri

  3. Department of Statistics, Athens University of Economics and Business, Athens, 10434, Greece

    P. Tsiamyrtzis

Authors
  1. D. Duong
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  2. D. Shastri
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  3. P. Tsiamyrtzis
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  4. I. Pavlidis
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Editor information

Editors and Affiliations

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

    Nicholas Ayache & Hervé Delingette & 

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

    Polina Golland

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

    Kensaku Mori

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Duong, D., Shastri, D., Tsiamyrtzis, P., Pavlidis, I. (2012). Spatiotemporal Reconstruction of the Breathing Function. 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 7510. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33415-3_19

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  • DOI: https://doi.org/10.1007/978-3-642-33415-3_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33414-6

  • Online ISBN: 978-3-642-33415-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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