Pranav Bhagirath

14 Chapter 1 that the epicardial potentials and electrograms provide substantial information about intramyocardial activity and have great potential to facilitate risk-stratification 14 and generate personalized ablation strategies 15 . Objectives of this thesis 1. To evaluate the utility of cardiac magnetic resonance derived geometrical and tissue characteristic information for patient stratification and guidance of AF ablation. 2. To design and evaluate the performance of a finite element model based inverse potential mapping in predicting the arrhythmogenic focus in idiopathic ventricular tachycardia using invasive electro-anatomical activation mapping as a reference standard. Outline of the thesis Section 1 is focused on methodology and clinical implementation of cardiac magnetic resonance in patients with atrial fibrillation. • In chapter 2, the existing strategy for the workup and evaluation of atrial fibrillation catheter ablation is evaluated and potential improvements are proposed. • In chapter 3, the current techniques to quantify the extent of late gadolinium enhancement are investigated. • In chapter 4, the implementation of a standardized cardiac magnetic resonance based workflow for atrial fibrillation catheter ablation is evaluated. • In chapter 5, the association of left atrial geometrical remodeling patterns with maintenance of sinus rhythm after repeat pulmonary vein isolation is investigated. • In chapter 6, the technological requirements for performing interventional electrophysiological procedures in a magnetic resonance imaging environment are summarized. Section 2 is focused on design and validation of an inverse potential mapping method in patients with idiopathic ventricular tachycardia. • In chapter 7, a cardiac magnetic resonance based whole-heart computational workflow for inverse potential mapping and patient-specific cardiac activation simulation is implemented. • In chapter 8, the feasibility and relevance of computing body volume potentials for inverse potential mapping is investigated. • In chapter 9, the impact of electrode positioning on the solution of an inverse potential mapping computation is evaluated.