Toward robotic needle steering in lung biopsy: a tendon-actuated approach
Author(s) -
Louis B. Kratchman,
Mohammed Mizanur Rahman,
Justin R. Saunders,
Philip J. Swaney,
Robert J. Webster
Publication year - 2011
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.878792
Subject(s) - computer science , trajectory , kinematics , biopsy , compensation (psychology) , computer vision , tendon , biomedical engineering , artificial intelligence , simulation , radiology , medicine , surgery , physics , psychology , classical mechanics , astronomy , psychoanalysis
Needle tip dexterity is advantageous for transthoracic lung biopsies, which are typically performed with rigid, straight biopsy needles. By providing intraoperative compensation for trajectory error and lesion motion, tendon-driven biopsy needles may reach smaller or deeper nodules in fewer attempts, thereby reducing trauma. An image-guided robotic system that uses these needles also has the potential to reduce radiation exposure to the patient and physician. In this paper, we discuss the design, workflow, kinematic modeling, and control of both the needle and a compact and inexpensive robotic prototype that can actuate the tendon-driven needle for transthoracic lung biopsy. The system is designed to insert and steer the needle under Computed Tomography (CT) guidance. In a free-space targeting experiment using a discrete proportional control law with digital camera feedback, we show a position error of less than 1 mm achieved using an average of 8.3 images (n=3).
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