An optical flow-based approach for the interpolation of minimally divergent velocimetry data

Berkay Kanberoglu; Priya Nair; David Frakes

doi:10.1109/ISBI.2017.7950578

An optical flow-based approach for the interpolation of minimally divergent velocimetry data

Berkay Kanberoglu, Priya Nair, David Frakes

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

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 language	English (US)
Title of host publication	2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017
Publisher	IEEE Computer Society
Pages	538-542
Number of pages	5
ISBN (Electronic)	9781509011711
DOIs	https://doi.org/10.1109/ISBI.2017.7950578
State	Published - Jun 15 2017
Event	14th IEEE International Symposium on Biomedical Imaging, ISBI 2017 - Melbourne, Australia Duration: Apr 18 2017 → Apr 21 2017

Other

Other	14th IEEE International Symposium on Biomedical Imaging, ISBI 2017
Country/Territory	Australia
City	Melbourne
Period	4/18/17 → 4/21/17

Keywords

Divergence
Interpolation
Optical Flow
PIV

ASJC Scopus subject areas

Biomedical Engineering
Radiology Nuclear Medicine and imaging

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10.1109/ISBI.2017.7950578

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., 7950578, IEEE Computer Society, pp. 538-542, 14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, Australia, 4/18/17. https://doi.org/10.1109/ISBI.2017.7950578

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An optical flow-based approach for the interpolation of minimally divergent velocimetry data

Abstract

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Keywords

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