Data fusion of left ventricle Electro-Anatomic Mapping and Multislice Computerized Tomography for Cardiac Resynchronisation Therapy optimization
| Autor: | Tavard, F., Antoine SIMON, Leclercq, C., Mabo, P., Hernandez, A., Garreau, M. |
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| Přispěvatelé: | Senhadji, Lotfi, Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de cardiologie et maladies vasculaires [Rennes] = Cardiac, Thoracic, and Vascular Surgery [Rennes], CHU Pontchaillou [Rennes], Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM) |
| Jazyk: | angličtina |
| Rok vydání: | 2010 |
| Předmět: |
[SDV.IB] Life Sciences [q-bio]/Bioengineering
data fusion left cardiac chambers [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging abnormal electrical activity sites activation time delays graphical interface [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing anatomical information MSCT image segmentation biventricular asynchronism image reconstruction left ventricle electro-anatomic mapping semiautomatic rigid registration method [SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing cardiac resynchronisation therapy optimization electrical fusion [SDV.IB]Life Sciences [q-bio]/Bioengineering [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing left ventricle 3D-surface multislice computerized tomography [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing |
| Zdroj: | Proceedings of the 36th IEEE International Conference on Computers In Cardiology Computers In Cardiology Computers In Cardiology, Sep 2009, Park City, UT, United States. pp.613-616 ResearcherID |
| Popis: | International audience; 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. |
| Databáze: | OpenAIRE |
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