Abstract

Three-dimensional (3D) biomedical image sets often have in-plane resolutions that are exceedingly higher than the out-of-plane spacing between images. Image interpolation can be used to reduce the effective out-of-plane spacing. Optical flow and/or other registration-based interpolators have proven useful in interpolating this type of data in the past. When acquired images are comprised of signals that describe the flow velocity of incompressible fluids, additional information is available to guide the interpolation process. In this paper, we present an optical-flow based framework for image interpolation that also minimizes resultant divergence in the interpolated data.

Original languageEnglish (US)
Title of host publication2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017
PublisherIEEE Computer Society
Pages538-542
Number of pages5
ISBN (Electronic)9781509011711
DOIs
StatePublished - Jun 15 2017
Event14th IEEE International Symposium on Biomedical Imaging, ISBI 2017 - Melbourne, Australia
Duration: Apr 18 2017Apr 21 2017

Other

Other14th IEEE International Symposium on Biomedical Imaging, ISBI 2017
CountryAustralia
CityMelbourne
Period4/18/174/21/17

Keywords

  • Divergence
  • Interpolation
  • Optical Flow
  • PIV

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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  • Cite this

    Kanberoglu, B., Nair, P., & Frakes, D. (2017). An optical flow-based approach for the interpolation of minimally divergent velocimetry data. In 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017 (pp. 538-542). [7950578] IEEE Computer Society. https://doi.org/10.1109/ISBI.2017.7950578