A local spatio-temporal approach to plane wave ultrasound particle image velocimetry
We present a simple and efficient approach to plane wave ultrasound particle image velocimetry (Echo PIV). Specifically, a carefully designed bank of local motion-sensitive filters is introduced, together with a method for non-linear flow parameter estimation based on time-averaged local flow estima...
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| Main Authors: | , , |
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| Format: | Chapter/Article Conference Paper |
| Language: | English |
| Published: |
15 August 2017
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| In: |
Pattern Recognition
Year: 2017, Pages: 138-149 |
| DOI: | 10.1007/978-3-319-66709-6_12 |
| Online Access: | Verlag, Volltext: http://dx.doi.org/10.1007/978-3-319-66709-6_12 Verlag, Volltext: https://link.springer.com/chapter/10.1007/978-3-319-66709-6_12 
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| Author Notes: | Ecaterina Bodnariuc, Stefania Petra, Christoph Schnörr, Jason Voorneveld |
| Summary: | We present a simple and efficient approach to plane wave ultrasound particle image velocimetry (Echo PIV). Specifically, a carefully designed bank of local motion-sensitive filters is introduced, together with a method for non-linear flow parameter estimation based on time-averaged local flow estimates. The approach is validated and quantitatively assessed using both simulated and in-vitro real data, in scenarios with laminar as well as with turbulent flow. |
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| Item Description: | Gesehen am 12.03.2018 |
| Physical Description: | Online Resource |
| ISBN: | 9783319667096 |
| DOI: | 10.1007/978-3-319-66709-6_12 |