Title
Simplified adaptive path planning for percutaneous needle insertions
Abstract
Needle placement errors can mitigate the effectiveness of the diagnosis or the therapy, sometimes with catastrophic outcomes. Previous design of a simplified model for needle deflection estimation was motivated by the clinical constraints of ARCS (Abdomino-pelvic Robotic-driven slightly flexible needle insertion performed in CT/MRI-guided Scenario). We present in this work, the validation results for the needle deflection prediction model. Its robustness is evaluated under an unknown context such as a different robotic platform, facing uncertainties conditions not conceived previously in the model's confection. In addition, the work presents the development and validation experiments of an adaptive path planner that uses the model as predictor's strategy. It provides pre-operative planning assistance, as well as intra-operative decision-making support. The experiments results showed average error around 1mm for the pre-operative planning and the intra-operative replanning approach showed to be very robust to correct the initial predictions, showing average error smaller than 1 mm.
Year
DOI
Venue
2015
10.1109/ICRA.2015.7139429
IEEE International Conference on Robotics and Automation
Keywords
Field
DocType
biomedical MRI,computerised tomography,medical image processing,medical robotics,path planning,patient diagnosis,patient treatment,robot vision,surgery,telerobotics,ARCS,CT-guided scenario,MRI-guided scenario,abdomino-pelvic robotic-driven slightly flexible needle insertion,clinical constraints,diagnosis effectiveness mitigation,intraoperative decision-making support,intraoperative replanning approach,needle deflection estimation,needle deflection prediction model,needle placement errors,percutaneous needle insertions,preoperative planning,simplified adaptive path planning,therapy effectiveness mitigation
Motion planning,Deflection (engineering),Simulation,Control theory,Robustness (computer science),Engineering,Robot,Percutaneous
Conference
ISSN
Citations 
PageRank 
1050-4729
0
0.34
References 
Authors
8
4
Name
Order
Citations
PageRank
Ederson Dorileo120.82
Abdulrahman Albakri281.63
Nabil Zemiti310813.69
Philippe Poignet451759.75