TY - JOUR
T1 - A local spatio-temporal approach to plane wave ultrasound particle image velocimetry
AU - Bodnariuc, Ecaterina
AU - Petra, Stefania
AU - Schnörr, Christoph
AU - Voorneveld, Jason
N1 - Publisher Copyright: © Springer International Publishing AG 2017.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85029591803&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-66709-6_12
DO - 10.1007/978-3-319-66709-6_12
M3 - Conference article
AN - SCOPUS:85029591803
SN - 0302-9743
SP - 138
EP - 149
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
T2 - 39th German Conference on Pattern Recognition, GCPR 2017
Y2 - 12 September 2017 through 15 September 2017
ER -