A method for direct estimation of left ventricular global longitudinal strain rate from echocardiograms

Abstract

Abstract We present a new method for measuring global longitudinal strain and global longitudinal strain rate from 2D echocardiograms using a logarithmic-transform correlation (LTC) method. Traditional echocardiography strain analysis depends on user inputs and chamber segmentation, which yield increased measurement variability. In contrast, our approach is automated and does not require cardiac chamber segmentation and regularization, thus eliminating these issues. The algorithm was benchmarked against two conventional strain analysis methods using synthetic left ventricle ultrasound images. Measurement error was assessed as a function of contrast-to-noise ratio (CNR) using mean absolute error and root-mean-square error. LTC showed better agreement to the ground truth strain $${({\varvec{R}}}^{2}=0.91)$$ ( R 2 = 0.91 ) and ground truth strain rate $${({\varvec{R}}}^{2}=0.85)$$ ( R 2 = 0.85 ) compared with agreement to ground truth for two block-matching speckle tracking algorithms (one based on sum of square difference and the other on Fourier transform correlation; strain $${({\varvec{R}}}^{2}=0.70)$$ ( R 2 = 0.70 ) , strain rate $${({\varvec{R}}}^{2}=0.70)$$ ( R 2 = 0.70 ) ). A 200% increase in strain measurement accuracy was observed compared to the conventional algorithms. Subsequently, we tested the method using a 53-subject clinical cohort (20 subjects diseased with cardiomyopathy, 33 healthy controls). Our method distinguished between normal and abnormal left ventricular function with an AUC = 0.89, a 5% improvement over the conventional GLS algorithms.