The measurement of blood flow is important for evaluation of cardiac function. Ultrasonic color Doppler imaging is one of the most frequently used methods for the measurement of cardiac blood flow. However, the Doppler method provides only the axial velocity components in the direction of ultrasound propagation. To overcome such a problem, the vector flow mapping method (VFM), which estimates 2-D blood flow velocity by applying the theory of fluid dynamics to the axial velocity field obtained by the color Doppler method. However, the frame rate is limited to less than 30 frames per second (fps), and better temporal resolution is preferable for evaluation of the rapid temporal change in cardiac blood flow. In the present study, echoes from blood cells were visualized by high frame rate ultrasound imaging at a frame rate of 6250 fps. Recently, echo particle image velocimetry (e-PIV) was developed for observation of cardiac blood flow. This method requires intravenous injection of ultrasonic contrast agents. On the other hand, the proposed method does not require contrast agents. Also, echoes from blood cells are visualized at a very high frame rate, and thus, blood flow velocity vectors can be estimated quantitatively by applying motion estimator to visualized echoes.
Skip Nav Destination
Article navigation
October 2019
Meeting abstract. No PDF available.
October 01 2019
Quantitative cardiac blood flow imaging with high frame rate ultrasound
Hideyuki Hasegawa;
Hideyuki Hasegawa
Univ. of Toyama, 3190 Gofuku, Toyama 9308555, Japan, [email protected]
Search for other works by this author on:
Ryo Nagaoka
Ryo Nagaoka
Univ. of Toyama, Toyama, Japan
Search for other works by this author on:
J. Acoust. Soc. Am. 146, 2812 (2019)
Citation
Hideyuki Hasegawa, Ryo Nagaoka; Quantitative cardiac blood flow imaging with high frame rate ultrasound. J. Acoust. Soc. Am. 1 October 2019; 146 (4_Supplement): 2812. https://doi.org/10.1121/1.5136739
Download citation file:
84
Views
Citing articles via
A survey of sound source localization with deep learning methods
Pierre-Amaury Grumiaux, Srđan Kitić, et al.
Rapid detection of fish calls within diverse coral reef soundscapes using a convolutional neural network
Seth McCammon, Nathan Formel, et al.
Related Content
Contrast agent‐induced cardiac arrhythmias in rats: Lesions and mechanisms of injury
J Acoust Soc Am (May 2001)
Very high frame rate ultrasound for medical diagnostic imaging
AIP Conf. Proc. (November 2019)
Contrast agent‐induced cardiac arrhythmias in rats: Exposimetry and clinical findings
J Acoust Soc Am (May 2001)
High temporal and spatial resolution ultrasonic imaging and application to cardiovascular imaging
J Acoust Soc Am (October 2016)
Detection of nucleic acid-loaded microbubbles in mouse hearts during ultrasound-mediated delivery
J Acoust Soc Am (March 2019)