Enhancing needle puncture detection using high-pass filtering and diffuse reflectance
These results strongly support the utility of high-pass filters combined with both reflectance-only and multimodal reflectance-plus-force data-driven puncture-detection schemes for needle decompression applications.
Authors
- Kartikeya Murari (ORCID: https://orcid.org/0000-0001-5626-2008)
- Linhui Yu (ORCID: https://orcid.org/0000-0001-6290-9867)
- David T. Westwick (ORCID: https://orcid.org/0000-0002-1470-6800)
- Garnette R. Sutherland (ORCID: https://orcid.org/0000-0001-5114-3827)
- Rachael L’Orsa (ORCID: https://orcid.org/0000-0003-0172-4601)
- Anupam Bisht (ORCID: https://orcid.org/0000-0002-8944-5414)
- Katherine J. Kuchenbecker (ORCID: https://orcid.org/0000-0002-5004-0313)
Institutions
- University of Calgary (CA)
- Max Planck Institute for Intelligent Systems (DE)
- Hotchkiss Brain Institute (CA)
Publication Details
- Journal
- Frontiers in Robotics and AI
- Published
- 2025-05-06
- DOI
- https://doi.org/10.3389/frobt.2025.1429327
- Primary Topic
- Image Processing Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00