TY - GEN
T1 - Feasibility of a Cannula-Mounted Piezo Robot for Image-Guided Vertebral Augmentation
T2 - 21st IEEE International Conference on BioInformatics and BioEngineering, BIBE 2021
AU - Opfermann, Justin D.
AU - Killeen, Benjamin D.
AU - Bailey, Christopher
AU - Khan, Majid
AU - Uneri, Ali
AU - Suzuki, Kensei
AU - Armand, Mehran
AU - Hui, Ferdinand
AU - Krieger, Axel
AU - Unberath, Mathias
N1 - Funding Information:
*This work is supported by the National Institutes of Health under award numbers 1R01EB020667 and 1R01EY032127. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Vertebral compression fractures (VCFs), the most common fragility fractures secondary to osteoporosis, affect more than 200 million individuals worldwide. Percutaneous vertebral augmentation is an effective interventional treatment option that is routinely performed across the world. Because fluoroscopy-guided vertebral augmentation is a well-established and safe minimally invasive technique, automating its delivery is among the most important next steps. In this work, we describe the design and evaluation of a novel cannula mounted vertebral augmentation robot in a simulated X-ray environment as a first step toward autonomous vertebral augmentation. The cannula robot employs a piezo stack with inchworm control to place surgical tools within the vertebral body, while X-ray imaging verifies the robot does not interfere with imaging. Finite element analysis of the robot confirms that radiolucent materials were rigid enough to be used in the robot design as expected deformations for the cannula drive, accessory drive, and locking mechanisms (1.299 pm 0.034 um, 1.280 pm 0.027 um, and 1.960 pm 0.218 um, respectively) did not exceed the stroke lengths of the piezo stacks. An in silico clinical trial based on a human anatomy model suffering from VCF validates that the cannula robot does not impede visualization of the critical anatomy and tool-to-tissue positioning. Together these results demonstrate the feasibility of a cannula mounted robot for vertebral augmentation.
AB - Vertebral compression fractures (VCFs), the most common fragility fractures secondary to osteoporosis, affect more than 200 million individuals worldwide. Percutaneous vertebral augmentation is an effective interventional treatment option that is routinely performed across the world. Because fluoroscopy-guided vertebral augmentation is a well-established and safe minimally invasive technique, automating its delivery is among the most important next steps. In this work, we describe the design and evaluation of a novel cannula mounted vertebral augmentation robot in a simulated X-ray environment as a first step toward autonomous vertebral augmentation. The cannula robot employs a piezo stack with inchworm control to place surgical tools within the vertebral body, while X-ray imaging verifies the robot does not interfere with imaging. Finite element analysis of the robot confirms that radiolucent materials were rigid enough to be used in the robot design as expected deformations for the cannula drive, accessory drive, and locking mechanisms (1.299 pm 0.034 um, 1.280 pm 0.027 um, and 1.960 pm 0.218 um, respectively) did not exceed the stroke lengths of the piezo stacks. An in silico clinical trial based on a human anatomy model suffering from VCF validates that the cannula robot does not impede visualization of the critical anatomy and tool-to-tissue positioning. Together these results demonstrate the feasibility of a cannula mounted robot for vertebral augmentation.
KW - Robotic surgery
KW - cannula mounted robot
KW - piezo actuator
KW - vertebral augmentation
KW - vertebral compression fractures
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U2 - 10.1109/BIBE52308.2021.9635356
DO - 10.1109/BIBE52308.2021.9635356
M3 - Conference contribution
AN - SCOPUS:85123679005
T3 - BIBE 2021 - 21st IEEE International Conference on BioInformatics and BioEngineering, Proceedings
BT - BIBE 2021 - 21st IEEE International Conference on BioInformatics and BioEngineering, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 25 October 2021 through 27 October 2021
ER -