Erschienen in:
03.03.2023 | Original Article
Preoperative planning of three axis intersection surgical laparoscopic arm system based on characteristic parameters
verfasst von:
Jing Yang, Yida Zhao, Zejie Han, Yang Zhang, Wenjie Wang
Erschienen in:
International Journal of Computer Assisted Radiology and Surgery
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Ausgabe 10/2023
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Abstract
Purpose
The application of robotics in the field of minimally invasive surgery solves some shortcomings of traditional minimally invasive surgery. Preoperative planning is an important prerequisite for the successful completion of robot-assisted surgery. The optimization of surgical incision position and the initial location of surgical robot are two important parts of preoperative planning. In this paper, a novel structure and preoperative planning method of a three-axis intersection surgical manipulator are proposed.
Methods
Firstly, a mathematical model of human abdominal wall was established. Three characteristic parameters between the lesion and the incision are defined and used to optimize the surgical incisions. Then, the spatial position relationship between the laparoscopic arm and the incision was analyzed to obtain the effective solution groups of each passive joint of the laparoscopic arm. Lastly, the optimal initial location of the laparoscopic arm was determined by taking the total joint variables of the telecentric mechanism as the optimization index.
Results
According to a given set of lesion parameters and the position of laparoscopic arm base, the optimal incision position was obtained using the surgical incision characteristic parameters and the optimal triangle criterion, and the positioning angles of the laparoscopic arm were optimized by using the Total Joint Variable (TJV) as the evaluation index.
Conclusions
The proposed preoperative planning method is verified by simulation. The proposed method can realize the preoperative planning process of the three axis intersection laparoscopic arm. The proposed method of preoperative planning will provide important reference to improve the intelligence of robot-assisted surgery.