Electroanatomic mapping reconstruction with photogrammetry across different mapping systems

Background Automatic digital photogrammetry produces digital reproductions of objects using photographs. The aim of this study is to analyze feasibility of photogrammetry for electroanatomic map (EAM) reconstruction from different mapping systems. Furthermore, the possibility to import the reconstructed EAMs in a common working space is evaluated. Methods All consecutive patients undergoing EAM with one of the following EAM systems were screened for the study: (1) CARTO™; (2) Ensite™ X; (3) Rhythmia™; (4) Affera™ PRISM-3. All patient geometries were reconstructed from a video acquisition within the source EAM software. The video obtained was processed with Zephyr software and a dense point cloud was obtained. An image or sequence of images was selected to build a 3D mesh. At the end, the mesh was imported in the 3D graphics software Blender. Result A total of 24 EAMs from 24 patients were included in the study. All EAMs were reconstructed with success using photogrammetry from all 4 mapping systems assessed. The process time was ≈ 25 min. In particular, EAMs were as follows: left atrium (2 Carto; 2 Ensite; 5 Rhythmia; 2 Affera), right atrium (1 Carto; 6 Ensite; 3 Affera) and left ventricles (1 Carto; 2 Ensite). All the reconstructed EAMs were imported in Blender with success. They could be visualized in Blender and all the operations were allowed including moving EAMs in a common working space and EAMs overlap. Conclusion This study demonstrated for the first time the possibility of realizing 3-D objects from digital video formats of different EAMs.

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Publication Details

Journal
Frontiers in Imaging
Published
2025-02-24
DOI
https://doi.org/10.3389/fimag.2025.1502613
Primary Topic
3D Surveying and Cultural Heritage
Type
article
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article

Electroanatomic mapping reconstruction with photogrammetry across different mapping systems

Rani Kronenberger, Carlo de Asmundis, Antonio Sorgente, Pedro Brugada et al.
Frontiers in Imaging
3D Surveying and Cultural Heritage
article

Electroanatomic mapping reconstruction with photogrammetry across different mapping systems

Rani Kronenberger, Carlo de Asmundis, Antonio Sorgente, Pedro Brugada, Ingrid Overeinder, Erwin Ströker, Luigi Pannone, Mark La Meir, Ali Gharaviri, Gezim Bala, Gian‐Battista Chierchia, Andrea Sarkozy, Domenico Giovanni Della Rocca, Giacomo Talevi, Alexandre Almorad, Juan Sieira
article en

Abstract

Background Automatic digital photogrammetry produces digital reproductions of objects using photographs. The aim of this study is to analyze feasibility of photogrammetry for electroanatomic map (EAM) reconstruction from different mapping systems. Furthermore, the possibility to import the reconstructed EAMs in a common working space is evaluated. Methods All consecutive patients undergoing EAM with one of the following EAM systems were screened for the study: (1) CARTO™; (2) Ensite™ X; (3) Rhythmia™; (4) Affera™ PRISM-3. All patient geometries were reconstructed from a video acquisition within the source EAM software. The video obtained was processed with Zephyr software and a dense point cloud was obtained. An image or sequence of images was selected to build a 3D mesh. At the end, the mesh was imported in the 3D graphics software Blender. Result A total of 24 EAMs from 24 patients were included in the study. All EAMs were reconstructed with success using photogrammetry from all 4 mapping systems assessed. The process time was ≈ 25 min. In particular, EAMs were as follows: left atrium (2 Carto; 2 Ensite; 5 Rhythmia; 2 Affera), right atrium (1 Carto; 6 Ensite; 3 Affera) and left ventricles (1 Carto; 2 Ensite). All the reconstructed EAMs were imported in Blender with success. They could be visualized in Blender and all the operations were allowed including moving EAMs in a common working space and EAMs overlap. Conclusion This study demonstrated for the first time the possibility of realizing 3-D objects from digital video formats of different EAMs.

Frontiers in ImagingVol. 4
Vrije Universiteit Brussel (BE), Universitair Ziekenhuis Brussel (BE)
Openalex Percentile: Top 97%
3D Surveying and Cultural Heritage
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