Document Detail


Towards a Meso-Scale SMA-Actuated MRI-Compatible Neurosurgical Robot.
MedLine Citation:
PMID:  22267960     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Brain tumors are the most feared complications of cancer. Their treatment is challenging due to the lack of good imaging modality and the inability to remove the complete tumor. Facilitating tumor removal by accessing regions outside the "line-of-sight" will require a highly dexterous and MRI compatible robot. We present our work towards the development of a MRI-compatible neurosurgical robot. We used two antagonistic shape memory alloy (SMA) wires as actuators for each joint. Due to the size limitation of the device, we rely on temperature feedback to control the joint motion of the robot. We have developed a theoretical model based on Tanaka's model to characterize the joint motion with the change in SMA wire temperature. The results demonstrated that the SMA wire temperature can be used reliably to predict the motion of the robot. We then used a PWM scheme and switching circuit to control the temperature of multiple SMA wires. Experimental results showed that we can actuate the robot reliably and observe joint motion in a gelatin medium. MR images also showed that the robot is fully MRI-compatible and creates no significant image distortion.
Authors:
Mingyen Ho; Alan McMillan; J Marc Simard; Rao Gullapalli; Jaydev P Desai
Publication Detail:
Type:  JOURNAL ARTICLE    
Journal Detail:
Title:  IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society     Volume:  2011     ISSN:  1941-0468     ISO Abbreviation:  -     Publication Date:  2011 Oct 
Date Detail:
Created Date:  2012-1-23     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101514509     Medline TA:  IEEE Trans Robot     Country:  -    
Other Details:
Languages:  ENG     Pagination:  1-10     Citation Subset:  -    
Affiliation:
with the Robotics, Automation, and Medical Systems (RAMS) Laboratory, Department of Mechanical Engineering, University of Maryland, College Park, MD 20742 USA; with the Maryland Robotics Center, Institute for Systems Research, University of Maryland, College Park, MD 20742 USA myho@umd.edu.
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MeSH Terms
Descriptor/Qualifier:
Grant Support
ID/Acronym/Agency:
R21 EB008796-02//NIBIB NIH HHS

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