ArticlePloS one2013
Characterization of respiratory and cardiac motion from electro-anatomical mapping data for improved fusion of MRI to left ventricular electrograms.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Latent accelerated diffusion-based deformation estimation for real-time volumetric imaging.Physics in medicine and biology · 2026Article
- Robust magnetoelectric backscatter communication system for bioelectronic implants.Communications engineering · 2026Article
- The role of abdominal compression in the reduction of respiratory motion for cardiac radioablation.Journal of applied clinical medical physics · 2026Article
- Margins to account for cardiac and respiratory motion in cardiac radioablation.Medical physics · 2025Article
- Evaluation of the impact of cardiac implantable electronic devices on cine MRI for real-time adaptive cardiac radioablation on a 1.5 T MR-linac.Medical physics · 2025Article
- Patient-specific quantification of cardiorespiratory motion for cardiac stereotactic radioablation treatment planning.Heart rhythm O2 · 2024Article
- Evaluation of the feasibility of cardiac gating for SBRT of ventricular tachycardia based on real-time ECG signal acquisition.Journal of applied clinical medical physics · 2023Article
- Patient-specific Cardio-respiratory Motion Prediction in X-ray Angiography using LSTM Networks.Physics in medicine and biology · 2023Article
- Active Tracking-based cardiac triggering for MR-thermometry during radiofrequency ablation therapy in the left ventricle.Frontiers in cardiovascular medicine · 2022Article
- In-vivo mechanical characterization of coronary atherosclerotic plaques in living swine using intravascular laser speckle imaging.Biomedical optics express · 2021Article
- Osteopathic Palpation of the Heart.Cureus · 2021Review
- Whole-heart, ungated, free-breathing, cardiac-phase-resolved myocardial perfusion MRI by using Continuous Radial Interleaved simultaneous Multi-slice acquisitions at sPoiled steady-state (CRIMP).Magnetic resonance in medicine · 2020Article
- Pre-procedural image-guided versus non-image-guided ventricular tachycardia ablation-a review.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2020Article
- Evaluation of a real-time magnetic resonance imaging-guided electrophysiology system for structural and electrophysiological ventricular tachycardia substrate assessment.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2019Article
- Compared vulnerabilities to small cardiac motions between different cameras used for myocardial perfusion imaging.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019Article
- Advances in Real-Time MRI-Guided Electrophysiology.Current cardiovascular imaging reports · 2019Article
- Real-time correction of respiratory-induced cardiac motion during electroanatomical mapping procedures.Medical & biological engineering & computing · 2016Article
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4 authors.
Funding
Abstract
Accurate fusion of late gadolinium enhancement magnetic resonance imaging (MRI) and electro-anatomical voltage mapping (EAM) is required to evaluate the potential of MRI to identify the substrate of ventricular tachycardia. However, both datasets are not acquired at the same cardiac phase and EAM data is corrupted with respiratory motion limiting the accuracy of current rigid fusion techniques. Knowledge of cardiac and respiratory motion during EAM is thus required to enhance the fusion process. In this study, we propose a novel approach to characterize both cardiac and respiratory motion from EAM data using the temporal evolution of the 3D catheter location recorded from clinical EAM systems. Cardiac and respiratory motion components are extracted from the recorded catheter location using multi-band filters. Filters are calibrated for each EAM point using estimates of heart rate and respiratory rate. The method was first evaluated in numerical simulations using 3D models of cardiac and respiratory motions of the heart generated from real time MRI data acquired in 5 healthy subjects. An accuracy of 0.6-0.7 mm was found for both cardiac and respiratory motion estimates in numerical simulations. Cardiac and respiratory motions were then characterized in 27 patients who underwent LV mapping for treatment of ventricular tachycardia. Mean maximum amplitude of cardiac and respiratory motion was 10.2±2.7 mm (min = 5.5, max = 16.9) and 8.8±2.3 mm (min = 4.3, max = 14.8), respectively. 3D Cardiac and respiratory motions could be estimated from the recorded catheter location and the method does not rely on additional imaging modality such as X-ray fluoroscopy and can be used in conventional electrophysiology laboratory setting.
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