TY - GEN
T1 - Generalized Trajectory Planning for Nonlinear Interventions
AU - Fauser, Johannes
AU - Stenin, Igor
AU - Kristin, Julia
AU - Klenzner, Thomas Universitätsklinikum Düsseldorf
AU - Schipper, Jörg Universitätsklinikum Düsseldorf
AU - Fellner, Dieter
AU - Mukhopadhyay, Anirban
PY - 2018
Y1 - 2018
N2 - Minimally invasive procedures with flexible instruments suchas endoscopes, needles or drilling units are becoming more and more common.Their automated insertion will be standard across several applicationsin operation rooms of the future. In such scenarios regular replanningfor feasible nonlinear trajectories is a mandatory step towardautomation. However, state of the art methods focus on isolated solutionsonly. In this paper we introduce a generalized motion planningformulation in SE(3), regarding both position and orientation, that issuitable for these approaches. To emphasize the generalization of this formulationwe evaluate the performance of proposed Bidirectional RapidlyexploringRandom Trees (Bi-RRT) on four different clinical applications:Drilling in temporal bone surgery, trajectory planning for cardiopulmonaryendoscopy, automatic needle insertion for spine biopsy and livertumor removal. Experiments show that for all four scenarios the formulationis suitable and feasible trajectories can be planned successfully.
AB - Minimally invasive procedures with flexible instruments suchas endoscopes, needles or drilling units are becoming more and more common.Their automated insertion will be standard across several applicationsin operation rooms of the future. In such scenarios regular replanningfor feasible nonlinear trajectories is a mandatory step towardautomation. However, state of the art methods focus on isolated solutionsonly. In this paper we introduce a generalized motion planningformulation in SE(3), regarding both position and orientation, that issuitable for these approaches. To emphasize the generalization of this formulationwe evaluate the performance of proposed Bidirectional RapidlyexploringRandom Trees (Bi-RRT) on four different clinical applications:Drilling in temporal bone surgery, trajectory planning for cardiopulmonaryendoscopy, automatic needle insertion for spine biopsy and livertumor removal. Experiments show that for all four scenarios the formulationis suitable and feasible trajectories can be planned successfully.
KW - Path planning
KW - Preoperative planning
KW - Surgical planning
KW - Minimally invasive surgery
KW - Needle guidance
U2 - 10.1007/978-3-030-01201-4_6
DO - 10.1007/978-3-030-01201-4_6
M3 - Conference paper
SN - 303001200X
T3 - Lecture Notes in Computer Science
SP - 46
EP - 53
BT - OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis
PB - Springer
ER -