TY - JOUR
T1 - Simulation of cardiac pathologies using an electromechanical biventricular model and XMR interventional imaging
AU - Sermesant, Maxime
AU - Rhode, K.
AU - Sanchez-Ortiz, G. I.
AU - Camara, O.
AU - Andriantsimiavona, R.
AU - Hegde, S.
AU - Rueckert, D.
AU - Lambiase, P.
AU - Bucknall, C.
AU - Rosenthal, E.
AU - Delingette, H.
AU - Hill, Derek L.G.
AU - Ayache, N.
AU - Razavi, R.
N1 - Funding Information:
The authors thank for their collaboration the Cardiac MR Research Group in Guy’s Hospital, London and the co-workers of the ICEMA collaborative research actions 6 http://www-rocq.inria.fr/who/Frederique.Clement/icema.html . 6 , 7 http://www-rocq.inria.fr/sosso/icema2/icema2.html . 7 funded by INRIA and coordinated by F. Clément and M. Sorine. The authors acknowledge grant support from EPSRC (M.S., K.R., G.S., O.C. and R.A.). The authors thank P. Moireau for thoughtful discussions.
PY - 2005/10
Y1 - 2005/10
N2 - Simulating cardiac electromechanical activity is of great interest for a better understanding of pathologies and for therapy planning. Design and validation of such models is difficult due to the lack of clinical data. XMR systems are a new type of interventional facility in which patients can be rapidly transferred between X-ray and MR systems. Our goal is to design and validate an electromechanical model of the myocardium using XMR imaging. The proposed model is computationally fast and uses clinically observable parameters. We present the integration of anatomy, electrophysiology, and motion from patient data. Pathologies are introduced in the model and simulations are compared to measured data. Initial qualitative comparison on the two clinical cases presented is encouraging. Once fully validated, these models will make it possible to simulate different interventional strategies.
AB - Simulating cardiac electromechanical activity is of great interest for a better understanding of pathologies and for therapy planning. Design and validation of such models is difficult due to the lack of clinical data. XMR systems are a new type of interventional facility in which patients can be rapidly transferred between X-ray and MR systems. Our goal is to design and validate an electromechanical model of the myocardium using XMR imaging. The proposed model is computationally fast and uses clinically observable parameters. We present the integration of anatomy, electrophysiology, and motion from patient data. Pathologies are introduced in the model and simulations are compared to measured data. Initial qualitative comparison on the two clinical cases presented is encouraging. Once fully validated, these models will make it possible to simulate different interventional strategies.
KW - Cardiac pathologies
KW - Data fusion
KW - Electromechanical coupling
KW - Electrophysiology study
KW - Interventional imaging
KW - Patient-specific model
UR - https://www.scopus.com/pages/publications/23844465449
U2 - 10.1016/j.media.2005.05.003
DO - 10.1016/j.media.2005.05.003
M3 - Article
C2 - 16006170
AN - SCOPUS:23844465449
SN - 1361-8415
VL - 9
SP - 467
EP - 480
JO - Medical Image Analysis
JF - Medical Image Analysis
IS - 5 SPEC. ISS.
ER -