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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationComputing in Cardiology
Pages831-834
Number of pages4
Volume40
Publication statusPublished - 2013
Event2013 40th Computing in Cardiology Conference, CinC 2013 - Zaragoza, Spain
Duration: Sep 22 2013Sep 25 2013

Other

Other2013 40th Computing in Cardiology Conference, CinC 2013
CountrySpain
CityZaragoza
Period9/22/139/25/13

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Computer Science(all)

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