Open-source, vendor-independent, automated multi-beat tissue Doppler echocardiography analysis.

ABSTRACT: Current guidelines for measuring cardiac function by tissue Doppler recommend using multiple beats, but this has a time cost for human operators. We present an open-source, vendor-independent, drag-and-drop software capable of automating the measurement process. A database of ~8000 tissue Doppler beats (48 patients) from the septal and lateral annuli were analyzed by three expert echocardiographers. We developed an intensity- and gradient-based automated algorithm to measure tissue Doppler velocities. We tested its performance against manual measurements from the expert human operators. Our algorithm showed strong agreement with expert human operators. Performance was indistinguishable from a human operator: for algorithm, mean difference and SDD from the mean of human operators' estimates

SUBMITTER: Dhutia NM 

PROVIDER: S-EPMC5501914 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature