Résumé
The authors first segment the right ventricle regions from the echocardiographics by introducig a seeded region growth algorithm. Then they reconstrunct the three dimensional data field of right ventricle by using rotary scanning interpolation algorithm. And then, the authors propose a layer-by-layer, row-by-row, and voxel-by-voxel approach based on the interpolation results to estimate the volume of right ventricle. Finally, some right ventricle functional parameters such as EDV (End-diastolic volume), ESV (End-systolic volume), and RVEF (Right ventricular ejection fraction) are computed according to the volume results. The volume variation curves of several patients during a cardiac cycle have been successfully plotted out. The obtained results are compared with those from Tomtec medial image workstation. The comparison indicates the proposed approach is practical and meaningful.
Sujets)
Humains , Algorithmes , Échocardiographie tridimensionnelle , Méthodes , Ventricules cardiaques , Imagerie diagnostique , Traitement d'image par ordinateur , Dysfonction ventriculaire droite , Imagerie diagnostique , Fonction ventriculaire droiteRésumé
In this paper the theory of autocorrelation algorithm for color flow mapping is analyzed and a new way for ultrasound color flow velocity estimation and real-time display is proposed. The method sets up a mapping table which directly relates to the dynamic display range and has only 256 entries using an inverse mapping method instead of calculating the arctangent value directly. This method is ideal for software implementation and offers an interactive way to the user for changing the dynamic range of flow velocity and thus to increasing the display resolution.