DocumentCode
2038021
Title
Data fusion of left ventricle Electro-Anatomic Mapping and Multislice Computerized Tomography for Cardiac Resynchronisation Therapy optimization
Author
Tavard, François ; Simon, A. ; Leclercq, C. ; Mabo, P. ; Hernandez, A. ; Garreau, M.
Author_Institution
INSERM, Rennes, France
fYear
2009
fDate
13-16 Sept. 2009
Firstpage
613
Lastpage
616
Abstract
Cardiac Resynchronization Therapy is a treatment for bi-ventricular asynchronism. It can be optimized by the identification of the most effective pacing sites. The aim of this study is to provide a helpful tool to perform this identification by the fusion of electrical and anatomical information resulting from Electro-Anatomic Mapping (EAM) data and Multislice Computerized Tomography (MSCT) imaging. EAM data provide an approximation of the left ventricle (LV) 3D-surface (SEAM). Left cardiac chambers are segmented from MSCT imaging and surfaces are reconstructed (SCT). In order to represent this information in a unified framework, a three steps method is proposed: (1) the LV is separated from the left auricle on SCT providing S´CT; (2) a semi-automatic rigid registration method is applied to SEAM and S´CT; (3) activation time delays are estimated on S´CT from the EAM data. This method results in a graphical interface offering to clinicians means to identify abnormal electrical activity sites.
Keywords
bioelectric phenomena; cardiology; computerised tomography; image fusion; image reconstruction; image registration; image segmentation; medical image processing; optimisation; patient treatment; MSCT image segmentation; abnormal electrical activity sites; activation time delays; anatomical information; biventricular asynchronism; cardiac resynchronisation therapy optimization; data fusion; electrical fusion; graphical interface; image reconstruction; left cardiac chambers; left ventricle 3D-surface; left ventricle electro-anatomic mapping; multislice computerized tomography; semiautomatic rigid registration method; Cardiology; Cathode ray tubes; Computed tomography; Electric variables measurement; Image reconstruction; Image segmentation; Iterative closest point algorithm; Medical treatment; Myocardium; Surface reconstruction;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers in Cardiology, 2009
Conference_Location
Park City, UT
ISSN
0276-6547
Print_ISBN
978-1-4244-7281-9
Electronic_ISBN
0276-6547
Type
conf
Filename
5445310
Link To Document