Neural network reconstruction of the left atrium using sparse catheter paths
We compare several network solutions for the 3D atrium reconstruction. We demonstrate that the solution proposed produces realistic visualization using partial acquisition within a 3-min time interval using human clinical cases.
Authors
- Alon Baram (ORCID: https://orcid.org/0000-0001-6643-6729)
- Moshe Safran
- Hayit Greenspan (ORCID: https://orcid.org/0000-0001-6908-7552)
- Tomer Noy
- Nave Geri
Institutions
- Tel Aviv University (IL)
- Notal Vision (Israel) (IL)
- Biokine (Israel) (IL)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- International Journal of Computer Assisted Radiology and Surgery
- Published
- 2024-09-16
- DOI
- https://doi.org/10.1007/s11548-024-03268-y
- Primary Topic
- Atrial Fibrillation Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Tel Aviv University
- Nicholas and Elizabeth Slezak Super Center for Cardiac Research and Biomedical Engineering