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MR-Conditional Actuations: A Review.
Xiao, Qingyu; Monfaredi, Reza; Musa, Mishek; Cleary, Kevin; Chen, Yue.
Affiliation
  • Xiao Q; Department of Mechanical Engineering, University of Arkansas, Fayetteville, AR, USA.
  • Monfaredi R; Children's National Medical Center, Washington, DC, USA.
  • Musa M; Department of Mechanical Engineering, University of Arkansas, Fayetteville, AR, USA.
  • Cleary K; Children's National Medical Center, Washington, DC, USA.
  • Chen Y; Department of Mechanical Engineering, University of Arkansas, Fayetteville, AR, USA. yc039@uark.edu.
Ann Biomed Eng ; 48(12): 2707-2733, 2020 Dec.
Article in En | MEDLINE | ID: mdl-32856179
Magnetic resonance imaging (MRI) is one of the most prevailing technologies to enable noninvasive and radiation-free soft tissue imaging. Operating a robotic device under MRI guidance is an active research area that has the potential to provide efficient and precise surgical therapies. MR-conditional actuators that can safely drive these robotic devices without causing safety hazards or adversely affecting the image quality are crucial for the development of MR-guided robotic devices. This paper aims to summarize recent advances in actuation methods for MR-guided robots and each MR-conditional actuator was reviewed based on its working principles, construction materials, the noteworthy features, and corresponding robotic application systems, if any. Primary characteristics, such as torque, force, accuracy, and signal-to-noise ratio (SNR) variation due to the variance of the actuator, are also covered. This paper concludes with a perspective on the current development and future of MR-conditional actuators.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Robotics / Magnetic Resonance Imaging Type of study: Guideline Limits: Humans Language: En Journal: Ann Biomed Eng Year: 2020 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Robotics / Magnetic Resonance Imaging Type of study: Guideline Limits: Humans Language: En Journal: Ann Biomed Eng Year: 2020 Document type: Article Affiliation country: Country of publication: