In Vivo Demonstration of Deep Learning-Based Photoacoustic Visual Servoing System
After implementing suggested optimization modifications, our novel system has the potential to track catheter tips, needle tips, and other surgical tool tips in real-time during surgical and interventional procedures.
Authors
- Muyinatu A. Lediju Bell (ORCID: https://orcid.org/0000-0002-8394-4482)
- Aravindan Kolandaivelu (ORCID: https://orcid.org/0000-0003-3128-765X)
- Mardava R. Gubbi (ORCID: https://orcid.org/0000-0001-8222-3571)
- Mawia Khairalseed (ORCID: https://orcid.org/0000-0002-6245-461X)
- Nethra Venkatayogi
- Pankaj Warbal (ORCID: https://orcid.org/0000-0001-7800-6099)
- Jonathan Chrispin (ORCID: https://orcid.org/0000-0002-7985-3019)
- Jiaxin Zhang (ORCID: https://orcid.org/0000-0002-7576-6110)
- G.S. Keene
Institutions
- Johns Hopkins University (US)
Publication Details
- Journal
- IEEE Transactions on Biomedical Engineering
- Published
- 2025-06-27
- DOI
- https://doi.org/10.1109/tbme.2025.3584076
- Citations
- 3
- Primary Topic
- Photoacoustic and Ultrasonic Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.02