Abstract
Radio-frequency (RF) ablation uses electrode-catheters to destroy abnormally conducting myocardial areas that lead to potentially lethal tachyarrhythmias. The procedure is normally guided with x-rays (2D), leading to errors in location and excessive radiation exposure. One of our goals is to provide pre- and intra-operative 3D MR guidance in XMR systems (combined X-ray and MRI room) by locating myocardial regions with abnormal electrical conduction patterns. We address the inverse electro-mechanical relation by using motion in order to infer electrical propagation. For this purpose we define a probabilistic measure of the onset of regional myocardial activation derived from motion fields. The 3D motion fields are obtained using non-rigid registration of tagged MR sequences to track the heart. The myocardium is subdivided in segments and the derived activation isochrones maps compared. We also compare regional motion between two different image acquisitions, thus assisting in diagnosing arrhythmia, in follow up of treatment, and particularly in determining whether the electro-physiological intervention succeeded. We validate our methods using an electro-mechanical model of the heart, synthetic data from a cardiac motion simulator for tagged MRI, a cardiac MRI atlas of motion and geometry, MRI data from 6 healthy volunteers (one of them subjected to stress), and an MRI study on one patient with tachyarrhythmia, before and after RF ablation. Results seem to corroborate that the ablation had the desired effect of regularising cardiac contraction.
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Rhode, K.S., Hill, D.L.G., Edwards, P.J., Hipwell, J., Rueckert, D., Sanchez-Ortiz, G.I., Hegde, S., Rahunathan, V., Razavi, R.: Registration and tracking to integrate X-ray and MR images in an XMR facility. IEEE Transactions on Medical Imaging 22(11), 1369–1378 (2003)
Sanchez-Ortiz, G.I., Sermesant, M., Chandrashekara, R., Rhode, K.S., Razavi, R., Hill, D.L.G., Rueckert, D.: Detecting the onset of myocardial contraction for establishing inverse electro-mechanical coupling in XMR guided RF ablation. In: IEEE Int. Symposium on Biomedical Imaging (ISBI 2004), USA, pp. 1055–1058 (2004)
Chandrashekara, R., Mohiaddin, R., Rueckert, D.: Analysis of 3D myocardial motion in tagged MR images using nonrigid image registration. IEEE Transactions on Medical Imaging 23(10), 1245–1250 (2004)
Sanchez-Ortiz, G.I., Chandrashekara, R., Rhode, K.S., Razavi, R., Hill, D.L.G., Rueckert, D.: Detecting regional changes in myocardial contraction patterns using MRI. In: Proc. SPIE Medical Imaging: Physiology, Function, and Structure from Medical Images, San Diego, USA, pp. 710–721 (2004)
Sanchez-Ortiz, G.I., Sermesant, M., Chandrashekara, R., Rhode, K.S., Razavi, R., Hill, D.L.G., Rueckert, D.: Measuring myocardial motion changes in tagged MR to establish inverse electro-mechanical coupling for XMR-guided RF ablation. In: Int. Workshop on Augmented environments for Medical Imaging and Computer-aided Surgery (AMI-ARCS 2004), Rennes, France, pp. 32–40 (2004)
Sermesant, M., Rhode, K., Anjorin, A., Hedge, S., Sanchez-Ortiz, G., Rueckert, D., Lambiase, P., Bucknall, C., Hill, D., Razavi, R.: Simulation of the electromechanical acitvity of the heart using XMR interventional imaging. In: Barillot, C., Haynor, D.R., Hellier, P. (eds.) MICCAI 2004. LNCS, vol. 3217, pp. 786–794. Springer, Heidelberg (2004)
Waks, E., Prince, J.L., Douglas, A.S.: Cardiac motion simulator for tagged MRI. In: IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, San Francisco, CA, pp. 182–191 (1996)
Arts, T., Hunter, W.C., Douglas, A., Muijtjens, A.M.M., Reneman, R.S.: Description of the deformation of the left ventricle by a kinematic model. Biomechanics 25(10), 1119–1127 (1992)
Prince, J.L., McVeigh, E.R.: Motion estimation from tagged MR images. IEEE Transactions on Medical Imaging 11(2), 238–249 (1992)
Sermesant, M., Rhode, K., Sanchez-Ortiz, G.I., Camara, O., Andriantsmianova, R., Hedge, S., Rueckert, D., Lambiase, P., Bucknall, C., Rosenthal, E., Delingette, H., Hill, D.L.G., Ayache, N., Razavi, R.: Simulation of cardiac pathologies using an electromechanical biventricular model and XMR interventional imaging. Medical Image Analysis (2005) (in Press)
Perperidis, D., Lorenzo-Valdes, M., Chandrashekara, R., Mohiaddin, R., Sanchez-Ortiz, G.I., Rueckert, D.: Building a 4D atlas of the cardiac anatomy and motion using MR imaging. In: IEEE Int. Symposium on Biomedical Imaging (ISBI 2004), Arlington, USA, April 2004, pp. 412–415 (2004)
Sanchez-Ortiz, G.I., Sermesant, M., Rhode, K.S., Chandrashekara, R., Razavi, R., Hill, D.L.G., Rueckert, D.: Detecting the onset of myocardial contraction and regional motion changes for XMR guided RF ablation. In: Int. Society for Magnetic Resonance in Medicine, ISMRM 2005, Miami, USA (March 2005)
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Sanchez-Ortiz, G.I. et al. (2005). Detecting and Comparing the Onset of Myocardial Activation and Regional Motion Changes in Tagged MR for XMR-Guided RF Ablation. In: Frangi, A.F., Radeva, P.I., Santos, A., Hernandez, M. (eds) Functional Imaging and Modeling of the Heart. FIMH 2005. Lecture Notes in Computer Science, vol 3504. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11494621_35
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DOI: https://doi.org/10.1007/11494621_35
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