Valéry Ozenne1,2,3,4, Pierre Bour2,3,4, Marylène Delcey2,3,4, Nicolas Cedilnik5, Maxime Sermesant5, and Bruno Quesson2,3,4
1Centre de Résonance Magnétique des Systèmes Biologiques, UMR 5536, CNRS, Bordeaux, France, 2IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Bordeaux, France, 3Univ. Bordeaux, Centre de recherche Cardio-Thoracique de Bordeaux, U1045, Bordeaux, France, 4INSERM, Centre de recherche Cardio-Thoracique de Bordeaux, U1045, Bordeaux, France, 5Université Côte d’Azur, Inria, Epione, Sophia Antipolis, France
1Centre de Résonance Magnétique des Systèmes Biologiques, UMR 5536, CNRS, Bordeaux, France, 2IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Bordeaux, France, 3Univ. Bordeaux, Centre de recherche Cardio-Thoracique de Bordeaux, U1045, Bordeaux, France, 4INSERM, Centre de recherche Cardio-Thoracique de Bordeaux, U1045, Bordeaux, France, 5Université Côte d’Azur, Inria, Epione, Sophia Antipolis, France
The purpose of this work is to evaluate the feasibility of automatic
in-line segmentation in routine preclinical EP
studies with applications for roadmap segmentation and lesion transmurality assessment
Figure 1: Schematic view of the EP workflow under MRI guidance. A 3D bSSFP acquisition is used as a reference for the roadmap & EP mapping. The cavities are segmented and converted to meshes. Then catheter navigation is performed using active catheter tracking followed by EP mapping. RFA ablation is performed under MRI temperature monitoring followed by post-ablation imaging without contrast agent. Evaluation of the lesion size and transmurality is done on the post ablation images after epi/endo segmentation. The segmentation steps could benefit from machine learning.
Figure 2: Specific features of the 3D images. Top: 3D bSSFP acquisition or 3D roadmap acquisition after catheter introduction into the cavities. The artefacts of the catheter (red arrows) are larger than the actual size of the catheter, in particular at the vicinity of the tip. The epicardial fat in hyper signal( blue arrows). Bottom: 3D long-TI acquisition performed after RFA. The created lesion can be visualized in hyper signal (yellow arrows) compared to the surrounding tissue attributed to edema (green arrows). The epicardial fat is highly visible in anterior and posterior view.
