Comput Methods Programs Biomed - Image registration and atlas-based segmentation of cardiac outflow velocity profiles.

Tópicos

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Resumo

Cardiovascular disease is the leading cause of death worldwide and for this reason computer-based diagnosis of cardiac diseases is a very important task. In this article, a method for segmentation of aortic outflow velocity profiles from cardiac Doppler ultrasound images is presented. The proposed method is based on the statistical image atlas derived from ultrasound images of healthy volunteers. The ultrasound image segmentation is done by registration of the input image to the atlas, followed by a propagation of the segmentation result from the atlas onto the input image. In the registration process, the normalized mutual information is used as an image similarity measure, while optimization is performed using a multiresolution gradient ascent method. The registration method is evaluated using an in-silico phantom, real data from 30 volunteers, and an inverse consistency test. The segmentation method is evaluated using 59 images from healthy volunteers and 89 images from patients, and using cardiac parameters extracted from the segmented image. Experimental validation is conducted using a set of healthy volunteers and patients and has shown excellent results. Cardiac parameter segmentation evaluation showed that the variability of the automated segmentation relative to the manual is comparable to the intra-observer variability. The proposed method is useful for computer aided diagnosis and extraction of cardiac parameters.

Resumo Limpo

cardiovascular diseas lead caus death worldwid reason computerbas diagnosi cardiac diseas import task articl method segment aortic outflow veloc profil cardiac doppler ultrasound imag present propos method base statist imag atlas deriv ultrasound imag healthi volunt ultrasound imag segment done registr input imag atlas follow propag segment result atlas onto input imag registr process normal mutual inform use imag similar measur optim perform use multiresolut gradient ascent method registr method evalu use insilico phantom real data volunt invers consist test segment method evalu use imag healthi volunt imag patient use cardiac paramet extract segment imag experiment valid conduct use set healthi volunt patient shown excel result cardiac paramet segment evalu show variabl autom segment relat manual compar intraobserv variabl propos method use comput aid diagnosi extract cardiac paramet

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