Assessment of regional myocardial strain by a novel automated tracking system from digital image files.

Abstract

Myocardial strain imaging by Doppler tissue echocardiography is a useful method to quantify regional left ventricular function. However, this method has a problem of its Doppler angle dependency. We attempted to quantify myocardial strain by a newly developed automated tracking system from digital image files. In 6 anesthetized open-chest dogs, a pair of ultrasonic crystals was implanted at the inner site and outer site of the left ventricular wall to measure myocardial radial strain. B-mode echocardiographic images and trajectories of crystals were recorded simultaneously. Three conditions were examined by intravenous infusion of dobutamine. We used a pattern matching algorithm, which allowed us to track objects from one frame to the next. In 18 image sequences obtained in the 6 dogs, there was an excellent correlation in maximal myocardial strain between the two methods ( r = 0.92, P < .0001). Thus, this system is a promising tool to provide automated quantification of regional myocardial strain.

02040608020072008200920102011201220132014201520162017
Citations per Year

206 Citations

Semantic Scholar estimates that this publication has 206 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@article{Toyoda2004AssessmentOR, title={Assessment of regional myocardial strain by a novel automated tracking system from digital image files.}, author={Tomohiko Toyoda and Hirotaka Baba and Takashi Akasaka and Maki Akiyama and Yoji Neishi and Junko Tomita and Renan Sukmawan and Yuji Koyama and Nozomi Watanabe and Satoshi Tamano and Ryuichi Shinomura and Issei Komuro and Kiyoshi Yoshida}, journal={Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography}, year={2004}, volume={17 12}, pages={1234-8} }