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

Sofia Antunes; Daniele Tresoldi; Caterina Colantoni; Anna Palmisano; Antonio Esposito; Sebastiano Colombo; Giuseppe Maccabelli; Paolo Della Bella; Sergio Cerutti; Giovanna Rizzo

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

Sofia Antunes, Daniele Tresoldi, Caterina Colantoni, Anna Palmisano, Antonio Esposito, Sebastiano Colombo, Giuseppe Maccabelli, Paolo Della Bella, Sergio Cerutti, Giovanna Rizzo

IRCCS Ospedale San Raffaele

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Computing in Cardiology
Pages	831-834
Number of pages	4
Volume	40
Publication status	Published - 2013
Event	2013 40th Computing in Cardiology Conference, CinC 2013 - Zaragoza, Spain Duration: Sep 22 2013 → Sep 25 2013

Other

Other	2013 40th Computing in Cardiology Conference, CinC 2013
Country/Territory	Spain
City	Zaragoza
Period	9/22/13 → 9/25/13

ASJC Scopus subject areas

Cardiology and Cardiovascular Medicine
Computer Science(all)

Cite this

Multi-parametric model of the heart from CT images to guide ventricular tachycardia ablation. / Antunes, Sofia; Tresoldi, Daniele; Colantoni, Caterina; Palmisano, Anna; Esposito, Antonio; Colombo, Sebastiano; Maccabelli, Giuseppe; Della Bella, Paolo; Cerutti, Sergio; Rizzo, Giovanna.

Computing in Cardiology. Vol. 40 2013. p. 831-834 6713506.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Antunes, S, Tresoldi, D, Colantoni, C, Palmisano, A, Esposito, A, Colombo, S, Maccabelli, G, Della Bella, P, Cerutti, S & Rizzo, G 2013, Multi-parametric model of the heart from CT images to guide ventricular tachycardia ablation. in Computing in Cardiology. vol. 40, 6713506, pp. 831-834, 2013 40th Computing in Cardiology Conference, CinC 2013, Zaragoza, Spain, 9/22/13.

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AU - Antunes, Sofia

AU - Tresoldi, Daniele

AU - Colantoni, Caterina

AU - Palmisano, Anna

AU - Esposito, Antonio

AU - Colombo, Sebastiano

AU - Maccabelli, Giuseppe

AU - Della Bella, Paolo

AU - Cerutti, Sergio

AU - Rizzo, Giovanna

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AB - 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.

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

Abstract

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ASJC Scopus subject areas

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