Regresar

Noninvasive estimation of maximum elastance from color-Doppler M-mode echocardiograms using support vector machines

Abstract:

Peak systolic elastance (Emax) has been established as a quantitative measurement of left ventricular (LV) global systolic chamber function. However, a measurement of Emax is not possible in everyday clinical practice, due to the need of sophisticated catheterization procedures. Given that color-Doppler M-mode (CDMM)echocardiogram image represents the blood velocity, and given that fundamental hemodynamic magnitudes are related by complex physical laws, we hypothesize that Emax can be estimated noninvasively by adequate post-processing of CDMM. We propose to use Support Vector Machines (SVM) for building a model based on CDMM velocity image. In an animal model (9 healthy pigs), several interventions were performed to obtain a range in Emax wider than basal values. CDMM images were acquired, together with Emax from catheters. Intraclass correlation coefficient for the combined independent test sets was 0.81 with the linear kernel and, surprisingly, lower (0.67) with the Gaussian kernel. In conclusion, the noninvasive estimation of Emax can be successfully addressed by using SVM regression on CDMM images. © 2005 IEEE.