Cardiac shear wave speed estimation in 3D: an in silico and in vivo study

• Published in: 2022 IEEE International Ultrasonics Symposium (IUS) pp. 1 - 3
• Main Authors: Seliverstova, Ekaterina, Caenen, Annette, Santos, Pedro, Papangelopoulou, Konstantina, D'hooge, Jan
• Format: Conference Proceeding
• Language: English
• Published: IEEE 10.10.2022
• Subjects: 3D high frame rate imaging; cardiac shear wave elastography; Estimation; Imaging; In vivo; natural shear waves; Solid modeling; Systematics; Three-dimensional displays; Tissue Doppler imaging; Ultrasonic variables measurement
• ISSN: 1948-5727
• DOI: 10.1109/IUS54386.2022.9957145

Cardiac shear wave elastography (SWE) is a promising technique that can give additional information about tissue mechanical properties and, potentially, improve diagnosis of cardiac disease. The 'passive' approach to SWE tracks shear waves (SWs) after valve closure typically in a parasternal long axis view using 2D high frame rate (HFR) imaging. However, 2D methods provide an incomplete picture of the localization of the wave excitation source and the wave propagation. To solve these issues, 3D HFR imaging of natural waves has been recently proposed. The objective of this study was to investigate the accuracy and robustness of a 3D shear wave speed (SWS) estimation algorithm and compare it to the conventional 2D approach. The 3D algorithm was first validated in an in silico dataset in which the detected SWS value matched the imposed 3 m/s (at a signal to noise level of − 7 dB). Then, the 3D algorithm was applied to an in vivo dataset collected in a healthy volunteer, yielding a SWS of 2.5 m/s, which is in agreement with the SWS of 2.9 m/s derived from the 2D approach. This study shows small differences (up to 14%) in SWS values between the 2D and 3D approach, but these findings need to be further validated in more volunteers.