17 resultados para Jacobian-free approach


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BACKGROUND In the meantime, catheter ablation is widely used for the treatment of persistent atrial fibrillation (AF). There is a paucity of data about long-term outcomes. This study evaluates (1) 5-year single and multiple procedure success and (2) prognostic factors for arrhythmia recurrences after catheter ablation of persistent AF using the stepwise approach aiming at AF termination. METHODS AND RESULTS A total of 549 patients with persistent AF underwent de novo catheter ablation using the stepwise approach (2007-2009). A total of 493 patients were included (Holter ECGs ≥ every 6 months). Mean follow-up was 59 ± 16 months with 2.1 ± 1.1 procedures per patient. Single and multiple procedure success rates were 20.1% and 55.9%, respectively (80% off antiarrhythmic drug). Antiarrhythmic drug-free multiple procedure success was 46%. Long-term recurrences (n=171) were paroxysmal AF in 48 patients (28%) and persistent AF/atrial tachycardia in 123 patients (72%). Multivariable recurrent event analysis revealed the following factors favoring arrhythmia recurrence: failure to terminate AF during index procedure (hazard ratio [HR], 1.279; 95% confidence interval [CI], 1.093-1.497; P = 0.002), number of procedures (HR, 1.154; 95% CI, 1.051-1.267; P = 0.003), female sex (HR, 1.263; 95% CI, 1.027-1.553; P = 0.027), and the presence of structural heart disease (HR, 1.236; 95% CI, 1.003-1.524; P = 0.047). AF termination was correlated with a higher rate of consecutive procedures because of atrial tachycardia recurrences (P = 0.003; HR, 1.71; 95% CI, 1.20-2.43). CONCLUSIONS Catheter ablation of persistent AF using the stepwise approach provides limited long-term freedom of arrhythmias often requiring multiple procedures. AF termination, the number of procedures, sex, and the presence of structural heart disease correlate with outcome success. AF termination is associated with consecutive atrial tachycardia procedures.

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This paper presents a non-rigid free-from 2D-3D registration approach using statistical deformation model (SDM). In our approach the SDM is first constructed from a set of training data using a non-rigid registration algorithm based on b-spline free-form deformation to encode a priori information about the underlying anatomy. A novel intensity-based non-rigid 2D-3D registration algorithm is then presented to iteratively fit the 3D b-spline-based SDM to the 2D X-ray images of an unseen subject, which requires a computationally expensive inversion of the instantiated deformation in each iteration. In this paper, we propose to solve this challenge with a fast B-spline pseudo-inversion algorithm that is implemented on graphics processing unit (GPU). Experiments conducted on C-arm and X-ray images of cadaveric femurs demonstrate the efficacy of the present approach.