Name
Abstract | ||
|---|---|---|
Objective: This paper aims to propose a 3D laparoscopic imaging system that can realize dense 3D reconstruction in real time. Methods: Based on the active stereo technique which yields high-density, accurate and robust 3D reconstruction by combining structured light and stereo vision, we design a laparoscopic system consisting of two image feedback channels and one pattern projection channel. Remote high-speed image acquisition and pattern generation lay the foundation for the real-time dense 3D surface reconstruction and enable the miniaturization of the laparoscopic probe. To enhance the reconstruction efficiency and accuracy, we propose a novel active stereo method by which the dense 3D point cloud is obtained using only five patterns, while most existing multiple-shot structured light techniques require 10-40 patterns. In our method, dual-frequency phase-shifting fringes are utilized to uniquely encode the pixels of the measured targets, and a dual-codeword matching scheme is developed to simplify the matching procedure and achieve high-precision reconstruction. Results: Compared with the existing structured light techniques, the proposed method shows better real-time efficiency and accuracy in both quantitative and qualitative ways. Ex-vivo experiments demonstrate the robustness of the proposed method to different biological organs and the effectiveness to lesions and deformations of the organs. Feasibility of the proposed system for real-time dense 3D reconstruction is verified in dynamic experiments. According to the experimental results, the system acquires 3D point clouds with a speed of 12 frames per second. Each frame contains more than 40,000 points, and the average errors tested on standard objects are less than 0.2 mm. Significance: This paper provides a new real-time dense 3D reconstruction method for 3D laparoscopic imaging. The established prototype system has shown good performance in reconstructing surface of biological tissues. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TBME.2020.2968488 | IEEE Transactions on Biomedical Engineering |
Keywords | DocType | Volume |
Algorithms,Computer Systems,Imaging, Three-Dimensional,Laparoscopy | Journal | 67 |
Issue | ISSN | Citations |
9 | 0018-9294 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Congying Sui | 1 | 0 | 2.03 |
| jiahao wu | 2 | 10 | 7.03 |
| Wang Zerui | 3 | 47 | 6.89 |
| Gan Ma | 4 | 0 | 0.34 |
| Liu YH | 5 | 1540 | 185.05 |