Abstract

Fully CMR-guided electrophysiological interventions (EP-CMR) have recently been introduced but data on the optimal CMR imaging protocol are scarce. This study determined the clinical utility of 3D non-selective whole heart steady-state free precession imaging using compressed SENSE (nsWHcs) for automatic segmentation of cardiac cavities as the basis for targeted catheter navigation during EP-CMR cavo-tricuspid isthmus ablation. Fourty-two consecutive patients with isthmus-dependent right atrial flutter underwent EP-CMR radiofrequency ablations. nsWHcs succeeded in all patients (nominal scan duration, 98 ± 10 s); automatic segmentation/generation of surface meshes of right-sided cavities exhibited short computation times (16 ± 3 s) with correct delineation of right atrium, right ventricle, tricuspid annulus and coronary sinus ostium in 100%, 100%, 100% and 95%, respectively. Point-by-point ablation adhered to the predefined isthmus line in 62% of patients (26/42); activation mapping confirmed complete bidirectional isthmus block (conduction time difference, 136 ± 28 ms). nsWHcs ensured automatic and reliable 3D segmentation of targeted endoluminal cavities, multiplanar reformatting and image fusion (e.g. activation time measurements) and represented the basis for precise real-time active catheter navigation during EP-CMR ablations of isthmus-dependent right atrial flutter. Hence, nsWHcs can be considered a key component in order to advance EP-CMR towards the ultimate goal of targeted substrate-based ablation procedures.

Details

Title
Electrophysiological cardiovascular MR: procedure-ready mesh model generation for interventional guidance based on non-selective excitation compressed sensing whole heart imaging
Author
Jahnke, Cosima 1 ; Darma, Angeliki 1 ; Lindemann, Frank 1 ; Oebel, Sabrina 1 ; Hilbert, Sebastian 1 ; Bode, Kerstin 1 ; Stehning, Christian 2 ; Smink, Jouke 3 ; Paetsch, Ingo 1   VIAFID ORCID Logo 

 HELIOS Heart Center Leipzig at University of Leipzig, Department of Electrophysiology, Leipzig, Germany (GRID:grid.9647.c) (ISNI:0000 0004 7669 9786) 
 Philips Research Laboratories, Hamburg, Germany (GRID:grid.418621.8) (ISNI:0000 0004 0373 4886) 
 Philips Research Laboratories, Best, The Netherlands (GRID:grid.417284.c) (ISNI:0000 0004 0398 9387) 
Pages
8974
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3041022554
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.