Paper Info
Title
Detection of Regional Mechanical Activation of the Left Ventricular Myocardium using High Frame Rate Ultrasound Imaging.
Abstract
We have investigated the feasibility of noninvasive mapping of mechanical activation patterns in the left ventricular (LV) myocardium using high frame rate ultrasound imaging for the purpose of detecting conduction abnormalities. Five anesthetized, open chest dogs with implanted combined sonomicrometry and electromyography (EMG) crystals were studied. The animals were paced from specified locations of the heart, while crystal and ultrasound data were acquired. Isochrone maps of the mechanical activation patterns were generated from the ultrasound data using a novel signal processing method called Clutter Filter Wave Imaging (CFWI). The isochrone maps showed the same mechanical activation pattern as the sonomicrometry crystals in 90% of the cases. For electrical activation, the activation sequences from ultrasound were the same in 92% of the cases. The coefficient of determination between the activation delay measured with EMG and ultrasound was R2 = 0.79, indicating a strong correlation. These results indicate that high frame rate ultrasound imaging processed with CFWI has the potential to be a valuable tool for mechanical activation detection.
Year
DOI
Venue
2019
10.1109/TMI.2019.2909358
IEEE transactions on medical imaging
Keywords
Field
DocType
Crystals,Ultrasonic imaging,Imaging,Animals,Heart,Strain,Electromyography
Biomedical engineering,Computer vision,Ultrasound imaging,Electromyography,Artificial intelligence,Frame rate,Conduction abnormalities,Sonomicrometry,Activation detection,Mathematics,Left ventricular myocardium,Ultrasound
Journal
Volume
Issue
ISSN
38
11
1558-254X
Citations 
PageRank 
References 
0
0.34
0
Authors
8
Name
Order
Citations
PageRank
Kaja F Kvale100.34
Jørn Bersvendsen251.09
Espen W Remme310.73
Sebastien Salles410.69
John M Aalen500.34
Pal H Brekke600.34
Thor Edvardsen782.52
Eigil Samset813316.57