Motion Estimation Model for Cardiac and Respiratory Motion Compensation

Catheter ablation is widely accepted as the best remaining option for the treatment of atrial fibrillation if drug therapy fails. Ablation procedures can be guided by 3-D overlay images projected onto live fluoroscopic X-ray images. These overlay images are generated from either MR, CT or C-Arm CT volumes. As the alignment of the overlay is often compromised by cardiac and respiratory motion, motion compensation methods are desirable. The most recent and promising approaches use either a catheter in the coronary sinus vein, or a circumferential mapping catheter placed at the ostium of one of the pulmonary veins. As both methods suffer from different problems, we propose a novel method to achieve motion compensation for fluoroscopy guided cardiac ablation procedures. Our new method localizes the coronary sinus catheter. Based on this information, we estimate the position of the circumferential mapping catheter. As the mapping catheter is placed at the site of ablation, it provides a good surrogate for respiratory and cardiac motion. To correlate the motion of both catheters, our method includes a training phase in which both catheters are tracked together. The training information is then used to estimate the cardiac and respiratory motion of the left atrium by observing the coronary sinus catheter only. The approach yields an average 2-D estimation error of 1.99 ± 1.20 mm.

[1]  Rui Liao,et al.  Model-Based Registration for Motion Compensation during EP Ablation Procedures , 2010, WBIR.

[2]  Elia Biganzoli,et al.  Updated Worldwide Survey on the Methods, Efficacy, and Safety of Catheter Ablation for Human Atrial Fibrillation , 2005, Circulation. Arrhythmia and electrophysiology.

[3]  Günter Lauritsch,et al.  3D Imaging with Flat-Detector C-Arm Systems , 2009 .

[4]  Wen Wu,et al.  Combined Cardiac and Respiratory Motion Compensation for Atrial Fibrillation Ablation Procedures , 2011, MICCAI.

[5]  YingLiang Ma,et al.  Real-Time Respiratory Motion Correction for Cardiac Electrophysiology Procedures Using Image-Based Coronary Sinus Catheter Tracking , 2010, MICCAI.

[6]  P. Wolf,et al.  Atrial fibrillation as an independent risk factor for stroke: the Framingham Study. , 1991, Stroke.

[7]  YingLiang Ma,et al.  Clinical Evaluation of Respiratory Motion Compensation for Anatomical Roadmap Guided Cardiac Electrophysiology Procedures , 2012, IEEE Transactions on Biomedical Engineering.

[8]  David Atkinson,et al.  A study of the motion and deformation of the heart due to respiration , 2002, IEEE Transactions on Medical Imaging.

[9]  Bernd Fischer,et al.  Biomedical Image Registration, 4th International Workshop, WBIR 2010, Lübeck, Germany, July 11-13, 2010. Proceedings , 2010, Workshop on Biomedical Image Registration.

[10]  Cengizhan Ozturk,et al.  Respiratory motion of the heart from free breathing coronary angiograms , 2004, IEEE Transactions on Medical Imaging.

[11]  Douglas Packer,et al.  Worldwide Survey on the Methods, Efficacy, and Safety of Catheter Ablation for Human Atrial Fibrillation , 2005, Circulation.

[12]  Dorin Comaniciu,et al.  Learning-based hypothesis fusion for robust catheter tracking in 2D X-ray fluoroscopy , 2011, CVPR 2011.

[13]  Daniel Steven,et al.  Catheter motion during atrial ablation due to the beating heart and respiration: impact on accuracy and spatial referencing in three-dimensional mapping. , 2007, Heart rhythm.

[14]  Günter Lauritsch,et al.  Cardiac C-Arm CT: A Unified Framework for Motion Estimation and Dynamic CT , 2009, IEEE Transactions on Medical Imaging.

[15]  Paul Suetens,et al.  An augmented reality system for patient-specific guidance of cardiac catheter ablation procedures , 2005, IEEE Transactions on Medical Imaging.

[16]  Nassir Navab,et al.  Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010, 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part III , 2010, MICCAI.

[17]  Mark Jenkinson,et al.  Non-local Shape Descriptor: A New Similarity Metric for Deformable Multi-modal Registration , 2011, MICCAI.