Title :
Motion planning for a three-stage multilumen transoral lung access system
Author :
Alan Kuntz;Luis G. Torres;Richard H. Feins;Robert J. Webster;Ron Alterovitz
Author_Institution :
Department of Computer Science, University of North Carolina at Chapel Hill, 27599, USA
Abstract :
Lung cancer is the leading cause of cancer-related death, and early-stage diagnosis is critical to survival. Biopsy is typically required for a definitive diagnosis, but current low-risk clinical options for lung biopsy cannot access all biopsy sites. We introduce a motion planner for a multilumen transoral lung access system, a new system that has the potential to perform safe biopsies anywhere in the lung, which could enable more effective early-stage diagnosis of lung cancer. The system consists of three stages in which a bronchoscope is deployed transorally to the lung, a concentric tube robot pierces through the bronchial tubes into the lung parenchyma, and a steerable needle deploys through a properly oriented concentric tube and steers through the lung parenchyma to the target site while avoiding anatomical obstacles such as significant blood vessels. A sampling-based motion planner computes actions for each stage of the system and considers the coupling of the stages in an efficient manner. We demonstrate the motion planner´s fast performance and ability to compute plans with high clearance from obstacles in simulated anatomical scenarios.
Keywords :
"Needles","Lungs","Electron tubes","Robots","Biomedical imaging","Biopsy","Planning"
Conference_Titel :
Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on
DOI :
10.1109/IROS.2015.7353829