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Main Authors: Huang, Zhefeng, Gunderman, Anthony L., Wilcox, Samuel E., Sengupta, Saikat, Shah, Jay, Lu, Aiming, Woodrum, David, Chen, Yue
Format: Preprint
Published: 2023
Subjects:
Online Access:https://arxiv.org/abs/2310.07822
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author Huang, Zhefeng
Gunderman, Anthony L.
Wilcox, Samuel E.
Sengupta, Saikat
Shah, Jay
Lu, Aiming
Woodrum, David
Chen, Yue
author_facet Huang, Zhefeng
Gunderman, Anthony L.
Wilcox, Samuel E.
Sengupta, Saikat
Shah, Jay
Lu, Aiming
Woodrum, David
Chen, Yue
contents MR-guided microwave ablation (MWA) has proven effective in treating hepatocellular carcinoma (HCC) with small-sized tumors, but the state-of-the-art technique suffers from sub-optimal workflow due to speed and accuracy of needle placement. This paper presents a compact body-mounted MR-conditional robot that can operate in closed-bore MR scanners for accurate needle guidance. The robotic platform consists of two stacked Cartesian XY stages, each with two degrees of freedom, that facilitate needle guidance. The robot is actuated using 3D-printed pneumatic turbines with MR-conditional bevel gear transmission systems. Pneumatic valves and control mechatronics are located inside the MRI control room and are connected to the robot with pneumatic transmission lines and optical fibers. Free space experiments indicated robot-assisted needle insertion error of 2.6$\pm$1.3 mm at an insertion depth of 80 mm. The MR-guided phantom studies were conducted to verify the MR-conditionality and targeting performance of the robot. Future work will focus on the system optimization and validations in animal trials.
format Preprint
id arxiv_https___arxiv_org_abs_2310_07822
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Body-mounted MR-conditional Robot for Minimally Invasive Liver Intervention
Huang, Zhefeng
Gunderman, Anthony L.
Wilcox, Samuel E.
Sengupta, Saikat
Shah, Jay
Lu, Aiming
Woodrum, David
Chen, Yue
Robotics
MR-guided microwave ablation (MWA) has proven effective in treating hepatocellular carcinoma (HCC) with small-sized tumors, but the state-of-the-art technique suffers from sub-optimal workflow due to speed and accuracy of needle placement. This paper presents a compact body-mounted MR-conditional robot that can operate in closed-bore MR scanners for accurate needle guidance. The robotic platform consists of two stacked Cartesian XY stages, each with two degrees of freedom, that facilitate needle guidance. The robot is actuated using 3D-printed pneumatic turbines with MR-conditional bevel gear transmission systems. Pneumatic valves and control mechatronics are located inside the MRI control room and are connected to the robot with pneumatic transmission lines and optical fibers. Free space experiments indicated robot-assisted needle insertion error of 2.6$\pm$1.3 mm at an insertion depth of 80 mm. The MR-guided phantom studies were conducted to verify the MR-conditionality and targeting performance of the robot. Future work will focus on the system optimization and validations in animal trials.
title Body-mounted MR-conditional Robot for Minimally Invasive Liver Intervention
topic Robotics
url https://arxiv.org/abs/2310.07822