Data underlying the PhD thesis: Deformation prediction and autonomous path planning for robot-assisted endovascular interventions

This dataset contains research data supporting the findings described in the thesis of the author. The research objective is to develop a robust and efficient path-planning algorithm for endovascular interventions. The dataset includes some examples of models (.obj format) for testing path planning algorithms, building the deformable environment, and comparing the accuracy of deformation prediction. The dataset also includes some quantitative results (.xlsx) obtained from the user study with the intervention simulator and from the user study with different path-planning guidance.Note: The patient-related dataset is not publicly accessible due to the agreement with the hospital.

本数据集包含支撑该作者学位论文所述研究结论的科研数据。本研究的目标为开发一款适用于血管内介入手术的鲁棒且高效的路径规划算法。数据集包含若干模型示例（格式为.obj），可用于路径规划算法测试、可变形环境构建以及形变预测精度对比。数据集还包含两类定量结果（格式为.xlsx）：一类源自介入手术模拟器的用户研究，另一类源自不同路径规划导航辅助方案的用户研究。注：由于与医院签署的相关协议，涉及患者的数据集暂不对外开放。