Detection of Tissue Fibrosis using Natural Mechanical Wave Velocity Estimation: Feasibility Study

• Published in: Ultrasound in medicine & biology Vol. 46; no. 9; pp. 2481 - 2492
• Main Authors: Kvåle, Kaja F., Salles, Sebastien, Lervik, Lars Christian N., Støylen, Asbjørn, Løvstakken, Lasse, Samset, Eigil, Torp, Hans
• Format: Journal Article
• Language: English
• Published: England Elsevier Inc 01.09.2020
• Subjects: Clutter filter wave imaging; Fibrosis; High-frame-rate ultrasound imaging; Mechanical wave velocity estimation; Natural mechanical wave; Mechanical wave velocity estimation; High-frame-rate ultrasound imaging; Clutter filter wave imaging; Fibrosis; Natural mechanical wave
• ISSN: 0301-5629; 1879-291X
• DOI: 10.1016/j.ultrasmedbio.2020.04.022

In the feasibility study described here, we developed and tested a novel method for mechanical wave velocity estimation for tissue fibrosis detection in the myocardium. High-frame-rate ultrasound imaging and a novel signal processing method called clutter filter wave imaging was used. A mechanical wave propagating through the left ventricle shortly after the atrial contraction was measured in the three different apical acquisition planes, for 20 infarct patients and 10 healthy controls. The results obtained were correlated with fibrosis locations from magnetic resonance imaging, and a sensitivity ≥60% was achieved for all infarcts larger than 10% of the left ventricle. The stability of the wave through several heart cycles was assessed and found to be of high quality. This method therefore has potential for non-invasive fibrosis detection in the myocardium, but further validation in a larger group of subjects is needed.