Evaluation of photogrammetry for medical application in cardiology

Giacomo Talevi, Luigi Pannone, Cinzia Monaco, Edoardo Bori, Ida Anna Cappello, Mara Candelari, Manon Wyns, Robbert Ramak, Mark La Meir, Ali Gharaviri, Gian Battista Chierchia, Bernardo Innocenti, Carlo de Asmundis

Research output: Contribution to journalArticlepeer-review


Background: In the field of medicine, photogrammetry has played for long time a marginal role due to the significant amount of work required that made it impractical for an extended medical use. Developments in digital photogrammetry occurred in the recent years, that have steadily increased the interest and application of this technique. The present study aims to compare photogrammetry reconstruction of heart with computed tomography (CT) as a reference. Methods: The photogrammetric reconstructions of digital images from ECG imaging derived images were performed. In particular, the ventricles of 15 patients with Brugada syndrome were reconstructed by using the free Zephyr Lite software. In order to evaluate the accuracy of the technique, measurements on the reconstructions were compared to patient-specific CT scan imported in ECG imaging software UZBCIT. Result: The results showed that digital photogrammetry in the context of ventricle reconstruction is feasible. The photogrammetric derived measurements of ventricles were not statistically different from CT scan measurements. Furthermore, the analysis showed high correlation of photogrammetry reconstructions with CT scan and a correlation coefficient close to 1. Conclusion: It is possible to reproduce digital objects by photogrammetry if the process described in this study is performed. The reconstruction of the ventricles from CT scan was very close to the values of the respective photogrammetric reconstruction.

Original languageEnglish
Article number1044647
Pages (from-to)1-7
Number of pages7
JournalFrontiers in Bioengineering and Biotechnology
Publication statusPublished - 13 Jan 2023

Bibliographical note

Publisher Copyright:
Copyright © 2023 Talevi, Pannone, Monaco, Bori, Cappello, Candelari, Wyns, Ramak, La Meir, Gharaviri, Chierchia, Innocenti and de Asmundis.

Copyright 2023 Elsevier B.V., All rights reserved.


  • Brugada syndrome
  • CT scan
  • ECG imaging
  • ablation
  • photogrammetry


Dive into the research topics of 'Evaluation of photogrammetry for medical application in cardiology'. Together they form a unique fingerprint.

Cite this