J. C. Antoranz

Learn More
Intra-cardiac pressure gradients (ICPG) are usually estimated by post-processing of flow color Doppler M-mode images (CDMMI) by using a sequence of processing steps. We propose a novel image processing method which gives a single-step approximation of the ICPG image, based on a simple, yet specifically developed, support vector machine (SVM) algorithm. Our(More)
A quantification methodology is proposed for the analysis of DTI M-mode images. After an enhancement stage, the cardiac wall is divided into several layers from which time curves and parameters are computed. A clinical study has been carried out, comparing normal and ischemic patients, in order to characterise the most relevant parameters that assess the(More)
Peak systolic elastance (E<sub>max</sub>) has been established as a quantitative measurement of left ventricular (LV) global systolic chamber function. However, a measurement of E<sub>max</sub> is not possible in everyday clinical practice, due to the need of sophisticated catheterization procedures. Given that color-Doppler M-mode (CDMM) echocardiogram(More)
Although ventricular-arterial coupling has been widely studied with frequency domain modeling of arterial hemodynamics, the existence of reflected flow and pressure waves in the arterial tree still remains controversial. Aortic input impedance (AII) is the ratio between pulsatile aortic pressure and flow waveforms in the frequency domain, and it has been(More)
Advanced nonlinear estimation methods can compete with their linear counterparts for the estimation of left ventricular (LV) function indices from color-Doppler M-mode images. We benchmarked three methods: Support Vector Regression, Partial Least Squares and Principal Component Regression using linear and non-linear (Gaussian) kernels. Two reference indices(More)
Many indices derived from color Roppler Tissue Imaging (UTI) are computed mathematically from the velociy fields provided by the ultrasound scanner We developed a procedure for assessing the uncertainty that temporal, spatial, and velociry resolution causes on cardiovascular parameter5 derived from myocardial velociry. A first-order Taylor's series for the(More)
  • 1