Multi-parametric model of the heart from CT images to guide ventricular tachycardia ablation

Author

Antunes, Sofia ; Tresoldi, D. ; Colantoni, Caterina ; Palmisano, Anna ; Esposito, Anna ; Colombo, Sebastiano ; Maccabelli, Giuseppe ; della Bella, Paolo ; Cerutti, Sergio ; Rizzo, Gianluca

Author_Institution

Dept. of Electron., Inf. & Bioeng., Politec. di Milano, Milan, Italy

fYear

2013

fDate

22-25 Sept. 2013

Firstpage

831

Lastpage

834

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.

Keywords

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; Abstracts; Heart; Image edge detection; Image segmentation; Level set; Myocardium; Tomography;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing in Cardiology Conference (CinC), 2013

Conference_Location

Zaragoza

ISSN

2325-8861

Print_ISBN

978-1-4799-0884-4

Type

conf

Filename

6713506