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ORIGINAL RESEARCH article

Front. Imaging
Sec. Imaging Applications
Volume 4 - 2025 | doi: 10.3389/fimag.2025.1502613

Electroanatomic mapping reconstruction with photogrammetry across different mapping systems Talevi G. et al. Photogrammetry in electroanatomic mapping

Provisionally accepted
Giacomo Talevi Giacomo Talevi Luigi Pannone Luigi Pannone Domenico Giovanni Della Rocca Domenico Giovanni Della Rocca Antonio Sorgente Antonio Sorgente Rani Kronenberger Rani Kronenberger Ingrid Overeinder Ingrid Overeinder Gezim Bala Gezim Bala Alexandre Almorad Alexandre Almorad Erwin Ströker Erwin Ströker Juan Sieira Juan Sieira Mark La Meir Mark La Meir Andrea Sarkozy Andrea Sarkozy Pedro Brugada Pedro Brugada Gian Battista Chierchia Gian Battista Chierchia Ali Gharaviri Ali Gharaviri Carlo de Asmundis Carlo de Asmundis *
  • Heart Rhythm Management Centre, University Hospital Brussels, Brussels, Belgium

The final, formatted version of the article will be published soon.

    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 minutes. 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.This study demonstrated for the first time the possibility of realizing 3-D objects from digital video formats of different EAMs.

    Keywords: Electroanatomic mapping, Photogrammetry, mapping systems, 3d modeling and 3d models, Cardiac electrophysiogy

    Received: 12 Oct 2024; Accepted: 10 Feb 2025.

    Copyright: © 2025 Talevi, Pannone, Della Rocca, Sorgente, Kronenberger, Overeinder, Bala, Almorad, Ströker, Sieira, La Meir, Sarkozy, Brugada, Chierchia, Gharaviri and de Asmundis. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Carlo de Asmundis, Heart Rhythm Management Centre, University Hospital Brussels, Brussels, 1090, Belgium

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.