A Novel 3D Camera-Based ECG-Imaging System for Electrode Position Discovery and Heart-Torso Registration
ECG-imaging has been receiving increasing clinical and commercialization interest as a non-invasive technology for computing cardiac electrical activity and facilitating clinical management of heart rhythm disorders. Despite its potential, the standard ECG-imaging pipeline requires thorax imaging for constructing patient-specific heart-thorax geometry - being outside standard-of-care clinical workflow, this component constitutes a major barrier to the clinical adoption of ECG-imaging. The advent of 3D cameras into ECG-imaging workflow to replace thorax imaging has shown promise, although existing works largely neglect the registration between camera-derived thorax models with an individual's heart geometry. In this work, we address this gap with a novel system that generates patient-specific torso geometry using a 3D camera, registers the torso to heart geometry obtained from pre-existing cardiac scans, and optimally deforms the torso to the skin surface of the patient. We evaluated the presented camera-based ECG-imaging system on five patients undergoing ablation of scar-related ventricular tachycardia, where we evaluate both the accuracy of the surface electrode localization and the ECG-imaging solutions in comparison to those obtained from computed tomography based thorax imaging. We further evaluate the use of the presented camera-based patient-specific heart-thorax model versus a generic heart-thorax model, highlighting the importance of the registration between the camera-based thorax models with cardiac scans.
Authors
- Omar Gharbia (ORCID: https://orcid.org/0000-0003-2783-6767)
- Vivek Kumar Singh (ORCID: https://orcid.org/0000-0002-8259-7087)
- Mirmilad Khoshknab (ORCID: https://orcid.org/0000-0003-1479-5038)
- Nikhil Shenoy (ORCID: https://orcid.org/0009-0003-3083-1454)
- Maryam Toloubidokhti (ORCID: https://orcid.org/0000-0003-2923-441X)
- Saman Nazarian (ORCID: https://orcid.org/0000-0002-8369-0259)
- John L. Sapp (ORCID: https://orcid.org/0000-0002-9602-2751)
- Linwei Wang (ORCID: https://orcid.org/0000-0002-5678-2369)
- Ankur Kapoor
Institutions
- Rochester Institute of Technology (US)
- University of Utah (US)
- Queen Elizabeth II Health Sciences Centre (CA)
- Siemens (United States) (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- IEEE Journal of Biomedical and Health Informatics
- Published
- 2024-12-23
- DOI
- https://doi.org/10.1109/jbhi.2024.3520486
- Citations
- 1
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.18