Title :
Tissue fixation by suction increases the accuracy of robotic needle insertion
Author :
Wedlick, Thomas R. ; Lin, Denis J. ; Okamura, Allison M.
Author_Institution :
Dept. of Mech. Eng., Stanford Univ., Stanford, CA, USA
Abstract :
Needles provide percutaneous access to tissues deep within the body in order to deliver therapy or acquire biological samples for diagnostic purposes. The effectiveness of needle-based access often requires very accurate targeting of the needle tip within tissue. We designed a device that uses suction to fixate tissue during robotic needle insertion and measured its ability to improve targeting accuracy and decrease tissue deformation in artificial and ex vivo tissue. The deformation of the tissue was tracked in ultrasound images to evaluate the device´s performance. The device was particularly effective at fixating ex vivo tissue with an attached skin layer and decreased tissue deformation by up to 96%. When accessing an embedded target within tissue, suction fixation reduced the targeting error by over 1 mm in chicken breast without a membrane and over 2 mm in chicken breast with an attached skin. Suction fixation could be used to improve the accuracy of robotic needle insertion through the skin and into internal organs with capsules.
Keywords :
biological tissues; biomedical ultrasonics; medical image processing; medical robotics; needles; patient treatment; artificial tissue; biological samples; chicken breast; diagnostic purposes; ex vivo tissue; internal organs; needle-based access; robotic needle insertion; suction fixation; targeting accuracy; tissue deformation tracking; tissue fixation; ultrasound images; Accuracy; Biological tissues; Breast; Needles; Robots; Skin; Ultrasonic imaging;
Conference_Titel :
Robotics and Automation (ICRA), 2013 IEEE International Conference on
Conference_Location :
Karlsruhe
Print_ISBN :
978-1-4673-5641-1
DOI :
10.1109/ICRA.2013.6630798