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.

doi.org/10.1007/978-3-319-66709-6_12, hdl.handle.net/1765/102077
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Department of Biomedical Engineering

Bodnariuc, E. (Ecaterina), Petra, S. (Stefania), Schnörr, C. (Christoph), & Voorneveld, J. (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