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.

Additional Metadata
Persistent URL dx.doi.org/10.1007/978-3-319-66709-6_12, hdl.handle.net/1765/102077
Series Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Note e-book; not purchased
Citation
Bodnariuc, E. (Ecaterina), Petra, S. (Stefania), Schnörr, C. (Christoph), & Voorneveld, J.D. (2017). A local spatio-temporal approach to plane wave ultrasound particle image velocimetry. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). doi:10.1007/978-3-319-66709-6_12