Ultrasonography is widely used for tissue imaging and blood flow assessment thanks to its important advantages in terms of performance, cost and safety. High frame rate 2-D vector blood flow imaging is an innovative method that delivers accurate two-dimensional velocity maps but requires time consuming algorithms, which has limited real-time applications so far. In this paper, a GPU based implementation of the technique is proposed and its speed compared to previous implementations addressed to rapidly process 2-D vector data. The results obtained by using optimized code and massive parallel computation devices, confirm that the method is suitable for real-time applications in the near future.

Toward the Real Time implementation of the 2-D Frequency-Domain Vector Doppler method / Stefano Rossi, Matteo Lenge, Alessandro Dallai, Alessandro Ramalli, Enrico Boni. - STAMPA. - 573:(2019), pp. 129-135. (Intervento presentato al convegno ApplePies 2018 tenutosi a Pisa nel 16-27 Settembre 2018) [10.1007/978-3-030-11973-7_16].

Toward the Real Time implementation of the 2-D Frequency-Domain Vector Doppler method

ROSSI, STEFANO
;
Matteo Lenge;Alessandro Dallai;Alessandro Ramalli;Enrico Boni
2019

Abstract

Ultrasonography is widely used for tissue imaging and blood flow assessment thanks to its important advantages in terms of performance, cost and safety. High frame rate 2-D vector blood flow imaging is an innovative method that delivers accurate two-dimensional velocity maps but requires time consuming algorithms, which has limited real-time applications so far. In this paper, a GPU based implementation of the technique is proposed and its speed compared to previous implementations addressed to rapidly process 2-D vector data. The results obtained by using optimized code and massive parallel computation devices, confirm that the method is suitable for real-time applications in the near future.
2019
Applications in Electronics Pervading Industry, Environment and Society, Lecture Notes in Electrical Engineering
ApplePies 2018
Pisa
16-27 Settembre 2018
Stefano Rossi, Matteo Lenge, Alessandro Dallai, Alessandro Ramalli, Enrico Boni
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1137001
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