An Optical Flow-Based Approach for Minimally Divergent Velocimetry Data Interpolation
Three-dimensional (3D) biomedical image sets are often acquired with in-plane pixel spacings that are far less than the out-of-plane spacings between images. The resultant anisotropy, which can be detrimental in many applications, can be decreased using image interpolation. Optical flow and/or other...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2019/9435163 |
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| _version_ | 1832553541901746176 |
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| author | Berkay Kanberoglu Dhritiman Das Priya Nair Pavan Turaga David Frakes |
| author_facet | Berkay Kanberoglu Dhritiman Das Priya Nair Pavan Turaga David Frakes |
| author_sort | Berkay Kanberoglu |
| collection | DOAJ |
| description | Three-dimensional (3D) biomedical image sets are often acquired with in-plane pixel spacings that are far less than the out-of-plane spacings between images. The resultant anisotropy, which can be detrimental in many applications, can be decreased using image interpolation. Optical flow and/or other registration-based interpolators have proven useful in such interpolation roles in the past. When acquired images are comprised of signals that describe the flow velocity of 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. |
| format | Article |
| id | doaj-art-534f19c2ee5a47a4b75d7b55c5dc323a |
| institution | Kabale University |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-534f19c2ee5a47a4b75d7b55c5dc323a2025-02-03T05:53:43ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962019-01-01201910.1155/2019/94351639435163An Optical Flow-Based Approach for Minimally Divergent Velocimetry Data InterpolationBerkay Kanberoglu0Dhritiman Das1Priya Nair2Pavan Turaga3David Frakes4School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, 85281, USADepartment of Computer Science, Technical University of Munich, Munich, 80333, GermanySchool of Biological and Health Systems Engineering, Arizona State University, Tempe, 85281, USASchool of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, 85281, USASchool of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, 85281, USAThree-dimensional (3D) biomedical image sets are often acquired with in-plane pixel spacings that are far less than the out-of-plane spacings between images. The resultant anisotropy, which can be detrimental in many applications, can be decreased using image interpolation. Optical flow and/or other registration-based interpolators have proven useful in such interpolation roles in the past. When acquired images are comprised of signals that describe the flow velocity of 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.http://dx.doi.org/10.1155/2019/9435163 |
| spellingShingle | Berkay Kanberoglu Dhritiman Das Priya Nair Pavan Turaga David Frakes An Optical Flow-Based Approach for Minimally Divergent Velocimetry Data Interpolation International Journal of Biomedical Imaging |
| title | An Optical Flow-Based Approach for Minimally Divergent Velocimetry Data Interpolation |
| title_full | An Optical Flow-Based Approach for Minimally Divergent Velocimetry Data Interpolation |
| title_fullStr | An Optical Flow-Based Approach for Minimally Divergent Velocimetry Data Interpolation |
| title_full_unstemmed | An Optical Flow-Based Approach for Minimally Divergent Velocimetry Data Interpolation |
| title_short | An Optical Flow-Based Approach for Minimally Divergent Velocimetry Data Interpolation |
| title_sort | optical flow based approach for minimally divergent velocimetry data interpolation |
| url | http://dx.doi.org/10.1155/2019/9435163 |
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