Interactive teaching of medical 3D cardiac anatomy: atrial anatomy enhanced by ECG and 3D visualization

Front Med (Lausanne). 2024 Jul 4:11:1422017. doi: 10.3389/fmed.2024.1422017. eCollection 2024.

Abstract

The most commonly applied way of teaching students to convey the foundations of human anatomy and physiology involves textbooks and lectures. This way of transmitting knowledge causes difficulties for students, especially in the context of three-dimensional imaging of organ structures, and as a consequence translates into difficulties with imagining them. Even despite the rapid uptake of knowledge dissemination provided by online materials, including courses and webinars, there is a clear need for learning programs featuring first-hand immersive experiences tailored to suit individual study paces. In this paper, we present an approach to enhance a classical study program by combining multi-modality data and representing them in a Mixed Reality (MR)-based environment. The advantages of the proposed approach have been proven by the conducted investigation of the relationship between atrial anatomy, its electrophysiological characteristics, and resulting P wave morphology on the electrocardiogram (ECG). Another part of the paper focuses on the role of the sinoatrial node in ECG formation, while the MR-based visualization of combined micro-computed tomography (micro-CT) data with non-invasive CineECG imaging demonstrates the educational application of these advanced technologies for teaching cardiac anatomy and ECG correlations.

Keywords: CineECG; ECG imaging; P wave; micro-CT; mixed reality.

Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported by the grant and project “Interactive TEAching of Medical 3D cardiac anatomy supported by Mixed Reality (iTeam 3D-MR),” agreement number 2023-1-PL01-KA220-HED-000159314, Erasmus + Program, Strategic Partnerships (Key Action 2). The research was also partially supported by the National Centre for Research and Development under Grant Lider No. LIDER/17/0064/L-11/19/NCBR/2020. AA and HD was received supported by the Leducq Foundation (The FANTACY 19CVD03).