Abstract
Minimally invasive robotic surgery requires precise information about the subsurface vasculature within complex luminal anatomies, including the position, diameter, and number of blood vessels. Additionally, the blood flow rate in vessels is also crucial for intraoperative decision-making. While endoscopic radial-scanning optical coherence tomography (OCT) catheters face challenges from motion artifacts and luminal adhesion, single-fiber forward-viewing A-scan OCT integrated with robotics offers a promising alternative to detect vasculature in tortuous or stenotic environments. In this study, we designed a vascular phantom experiment to verify the blood vessel detection ability of single-fiber forward-viewing A-scan OCT. Based on imaging the vascular phantom in M-mode (repeated A-scans at the same position) and a decorrelation-based OCT motion contrast algorithm, our system can not only quantitatively measure the location and diameter of the vascular channel, but also provide stable monitoring of qualitative hemodynamic change. These results demonstrate that by combining robotic stabilization and motion contrast OCT analysis, the single-fiber forward-viewing A-scan OCT can provide potential for real-time vascular detection during guided interventions. © 2025 The Authors.
| Original language | English |
|---|---|
| Pages (from-to) | 100-106 |
| Number of pages | 7 |
| Journal | Procedia Computer Science |
| Volume | 271 |
| Online published | 7 Nov 2025 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 2025 International Conference on Biomimetic Intelligence and Robotics (ICBIR 2025) - Zhangye, China Duration: 26 Aug 2025 → 28 Aug 2025 http://www.icbir.org/2025/ |
Funding
This work was supported by the Hong Kong Research Grants Council (CRF C4026-21G, GRF 14204524, RIF R4020-22, GRF 14203323, GRF 14216022, GRF 14203821, GRF 14216222), National Natural Science Foundation of China (62227823, 62205025), Key Project 2021B1515120035 (B.02.21.00101) of the Regional Joint Fund Project of the Basic and Applied Research Fund of Guangdong Province.
Research Keywords
- Blood vessel detection
- Hemodynamic monitoring
- Minimally invasive robotic surgery
- Optical coherence tomography
Publisher's Copyright Statement
- This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/
RGC Funding Information
- RGC-funded
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