Title
Multi-parametric model of the heart from CT images to guide ventricular tachycardia ablation
Abstract
The purpose of this work was to construct a 3D multi-parametric model of the heart by automatically segmenting cardiac cavities, left myocardium, scar and epicardial fat from multidetector computed tomographic (MDCT) volumes, using a level set algorithm based on a new multi-scale stopping function. This method was applied to 4 patients with recurrent ventricular tachycardia (VT) undergoing contrast enhanced (CE)-MDCT imaging, composed by an angiographic (ANGIO) and a late enhanced (LE) scan, before electro-anatomic mapping (EAM) and radiofrequency ablation (RFa). The segmented structures were integrated into the clinical surgery software system (CARTO). The adequacy of our model was verified by an expert radiologist and an arrhythmologist using a qualitative score.
Year
Venue
Keywords
2013
CinC
angiocardiography,computerised tomography,diagnostic radiography,fats,image enhancement,image segmentation,medical image processing,muscle,surgery,3d multiparametric model,angiography,arrhythmologist,automatically segmenting cardiac cavities,clinical surgery software system,computerised tomography images,contrast enhanced mdct imaging,electroanatomic mapping,epicardial fat,expert radiologist,heart,late enhanced scan,left myocardium,level set algorithm,multidetector computed tomographic volumes,multiscale stopping function,qualitative score,radio frequency ablation,recurrent ventricular tachycardia,scar,segmented structures,ventricular tachycardia ablation
Field
DocType
Volume
Parametric model,Computed tomographic,Epicardial fat,Ablation,Radiofrequency ablation,Image segmentation,Ventricular tachycardia,Radiology,Medicine,Angiocardiography
Conference
40
ISSN
ISBN
Citations 
2325-8861
978-1-4799-0884-4
0
PageRank 
References 
Authors
0.34
8
10