TY - DATA
T1 - Data underlying the PhD thesis: Deformation prediction and autonomous path planning for robot-assisted endovascular interventions
PY - 2023/07/19
AU - Zhen Li
UR - 
DO - 10.4121/c1e87614-0e77-4c61-ad6d-0f1609725d17.v1
KW - Simulation
KW - Optimization
KW - Steerable Catheter
KW - Deformable Environment
KW - Intervention
KW - Medical Robotics
KW - Path Planning
N2 - <p>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.</p><p>Note: The patient-related dataset is not publicly accessible due to the agreement with the hospital.</p>
ER -