Data fusion of left ventricle electro-anatomical mapping and multislice computerized tomography

Authors:
F. Tavard;A. Simon;C. Leclercq;D. Pavin;A. Hernandez;M. Garreau
Affiliations:
INSERM, Rennes, France and Université de Rennes 1, LTSI, Rennes, France;INSERM, Rennes, France and Université de Rennes 1, LTSI, Rennes, France;INSERM, Rennes, France and Université de Rennes 1, LTSI, Rennes, France and CHU Rennes, Service de cardiologie et maladies vascularies, Rennes, France;CHU Rennes, Service de cardiologie et maladies vascularies, Rennes, France;INSERM, Rennes, France and Université de Rennes 1, LTSI, Rennes, France;INSERM, Rennes, France and Université de Rennes 1, LTSI, Rennes, France
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

Cardiac Resynchronization Therapy (CRT) can be optimized by the identification of the most effective pacing sites. The aim of this study is to perform this identification by using electrical and anatomical informations respectively from Electro-Anatomical Mapping (EAM) data and Multislice Computerized these information in a unified framework, a two steps method is proposed: (1) a surface rigid registration method applied to the Left Ventricle (LV); (2) the fusion of 3D anatomical and electrical maps. In the first stage, two LV-surfaces are generated. one from EAM data and the other by automatically extracting the LV from segmented MSCT images. A ssemi-automatic method is proposed for the registration step. In the second stage. the acivation time delays corresponding to 3D anatomical points on the MSCT-surface are estimated from the EAM data. A graphical user interface is finally used to display time activation delays on the LV-surface.