Three-Dimensional Dynamic Modeling and Simulation of Guidewire in Vascular Intervention Surgery

During TACE interventional surgery, the acquisition and delivery direction of the guidewire's shape is a critical step in the surgery. Traditionally, physicians analyze the shape and endpoint location of the guidewire intraoperatively through real-time X-ray fluoroscopy. However, the low resolution of X-ray images combined with the small proportion that the guidewire occupies within the real-time X-ray image window increases visual fatigue for physicians. When vascular interventional surgical robots undertake the task of guidewire delivery instead of doctors, it is particularly important to analyze the shape and visual feedback of the guidewire. We developed a three-dimensional dynamic model of the guidewire based on MuJoCo, simulating the delivery process of the guidewire in the vascular model during interventional surgery within MuJoCo. The experimental results show that our guidewire model can successfully navigate through different vascular branch structures, completing actions such as advancement, retraction and rotation. This can not only be applied to the training simulation of vascular interventional surgeons but also further explore the vascular interventional surgery robots in conjunction with computer vision technology for auxiliary interventions.

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Publication Details

Published
2024-08-04
DOI
https://doi.org/10.1109/icma61710.2024.10633168
Citations
1
Primary Topic
Surgical Simulation and Training
Type
article
Field-Weighted Citation Impact
0.57
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Three-Dimensional Dynamic Modeling and Simulation of Guidewire in Vascular Intervention Surgery

Yang Zhao, Kanqi Wang, Ziyang Mei, Gang Liu et al.
1 citations
Surgical Simulation and Training
0.57
article

Three-Dimensional Dynamic Modeling and Simulation of Guidewire in Vascular Intervention Surgery

Yang Zhao, Kanqi Wang, Ziyang Mei, Gang Liu, Haoyun Wang, Jingsong Mao, Xiaowei Lu
article en
1 citations

Abstract

During TACE interventional surgery, the acquisition and delivery direction of the guidewire's shape is a critical step in the surgery. Traditionally, physicians analyze the shape and endpoint location of the guidewire intraoperatively through real-time X-ray fluoroscopy. However, the low resolution of X-ray images combined with the small proportion that the guidewire occupies within the real-time X-ray image window increases visual fatigue for physicians. When vascular interventional surgical robots undertake the task of guidewire delivery instead of doctors, it is particularly important to analyze the shape and visual feedback of the guidewire. We developed a three-dimensional dynamic model of the guidewire based on MuJoCo, simulating the delivery process of the guidewire in the vascular model during interventional surgery within MuJoCo. The experimental results show that our guidewire model can successfully navigate through different vascular branch structures, completing actions such as advancement, retraction and rotation. This can not only be applied to the training simulation of vascular interventional surgeons but also further explore the vascular interventional surgery robots in conjunction with computer vision technology for auxiliary interventions.

Guilin Medical University (CN), Xiamen University (CN)
Openalex Percentile: Top 31%
Surgical Simulation and Training
0.57
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Three-Dimensional Dynamic Modeling and Simulation of Guidewire in Vascular Intervention Surgery — Yang Zhao, Kanqi Wang, et al. · (2024) | TGRS Research Map | TGRS