Benchmarking commercial depth sensors for intraoperative markerless registration in neurosurgery applications
This study validates an adaptable and reproducible framework to evaluate depth cameras in neurosurgical scenarios, highlighting D405 and Zed-M + as reliable options. Future work will focus on improving depth quality through hardware and algorithmic improvements. The experimental data and the accompanying code were made publicly available to ensure reproducibility.
Authors
- C. Sanz (ORCID: https://orcid.org/0000-0002-2411-9132)
- Jaime Sancho (ORCID: https://orcid.org/0000-0001-8767-6596)
- Miguel Chavarrías (ORCID: https://orcid.org/0000-0003-0280-3440)
- Gonzalo Rosa (ORCID: https://orcid.org/0000-0002-3236-1236)
- Eduardo Juárez (ORCID: https://orcid.org/0000-0002-6096-1511)
- Manuel Villa (ORCID: https://orcid.org/0000-0001-7000-6289)
Institutions
- Universidad Politécnica de Madrid (ES)
Publication Details
- Journal
- International Journal of Computer Assisted Radiology and Surgery
- Published
- 2025-05-22
- DOI
- https://doi.org/10.1007/s11548-025-03416-y
- Citations
- 2
- Primary Topic
- Robotics and Sensor-Based Localization
- Type
- article
- Field-Weighted Citation Impact
- 9.99
Funders
- European Commission
- Universidad Politécnica de Madrid