Can echocardiographic particle image velocimetry correctly detect motion patterns as they occur in blood inside heart chambers? A validation study using moving phantoms

Prinz, Christian, Faludi, Reka, Walker, Andrew, Amzulescu, Mihaela, Gao, Hang, Uejima, Tokuhisa, Fraser, Alan Gordon and Voigt, Jens-Uwe 2012. Can echocardiographic particle image velocimetry correctly detect motion patterns as they occur in blood inside heart chambers? A validation study using moving phantoms. Cardiovascular Ultrasound 10 (1) , pp. 24-33. 10.1186/1476-7120-10-24

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Abstract

Aims: To validate Echo Particle Image Velocimetry (PIV) Methods: High fidelity string and rotating phantoms moving with different speed patterns were imaged with different high-end ultrasound systems at varying insonation angles and frame rates. Images were analyzed for velocity and direction and for complex motion patterns of blood flow with dedicated software. Post-processing was done with MATLAB-based tools (Dflow, JUV, University Leuven). Results: Velocity estimation was accurate up to a velocity of 42 cm/s (r = 0.99, p < 0.001, mean difference 0.4 ± 2 cm/s). Maximally detectable velocity, however, was strongly dependent on frame rate and insonation angle and reached 42 cm/s under optimal conditions. At higher velocities estimates became random. Direction estimates did depend less on velocity and were accurate in 80-90%. In-plane motion patterns were correctly identified with three ultrasound systems. Conclusion: Echo-PIV appears feasible. Velocity estimates are accurate, but the maximal detectable velocity depends strongly on acquisition parameters. Direction estimation works sufficiently, even at higher velocities. Echo-PIV appears to be a promising technical approach to investigate flow patterns by echocardiography.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Medicine
Subjects:	R Medicine > R Medicine (General) R Medicine > RC Internal medicine
Uncontrolled Keywords:	PIV, blood flow patterns, echocardiography, phantoms
Publisher:	BioMed Central
ISSN:	1476-7120
Date of First Compliant Deposit:	30 March 2016
Last Modified:	17 May 2023 06:39
URI:	https://orca.cardiff.ac.uk/id/eprint/42949

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