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Review Article

MRI-powered biomedical devices

, , , , &
Pages 191-202
Received 19 Jan 2017
Accepted 11 Oct 2017
Published online: 16 Nov 2017
 

Abstract

Magnetic resonance imaging (MRI) is beneficial for imaging-guided procedures because it provides higher resolution images and better soft tissue contrast than computed tomography (CT), ultrasound, and X-ray. MRI can be used to streamline diagnostics and treatment because it does not require patients to be repositioned between scans of different areas of the body. It is even possible to use MRI to visualize, power, and control medical devices inside the human body to access remote locations and perform minimally invasive procedures. Therefore, MR conditional medical devices have the potential to improve a wide variety of medical procedures; this potential is explored in terms of practical considerations pertaining to clinical applications and the MRI environment. Recent advancements in this field are introduced with a review of clinically relevant research in the areas of interventional tools, endovascular microbots, and closed-loop controlled MRI robots. Challenges related to technology and clinical feasibility are discussed, including MRI based propulsion and control, navigation of medical devices through the human body, clinical adoptability, and regulatory issues. The development of MRI-powered medical devices is an emerging field, but the potential clinical impact of these devices is promising.

Acknowledgements

This study was supported in part by the NIH Bench-to-Bedside Award, the NIH Center for Interventional Oncology and the NIH Intramural Research Program [Z01 Grant number 1ZID BC011242 and CL040015], NSF I-Corps Team [Grant 1617340], UGA-AU Inter-Institutional Seed Funding, UGA Clinical and Translational Research Unit Seed Grant, American Society for Quality Dr. Richard J. Schlesinger Grant, NUS YIA [Grant R-397–000-173–133], PHS [Grant UL1TR000454] from the Clinical and Translational Science Award Program, NIH National Center for Advancing Translational Sciences. This work was also supported by the Singapore Academic Research Fund under [Grant R-397-000-227-112], and NUSRI China and NMRC Bedside & Bench [Grant R-397-000-245-511].

Declaration of interest

The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.

Additional information

Funding

This study was supported in part by the the NIH Center for Interventional Oncology and the NIH Intramural Research Program [Z01 Grant number 1ZID BC011242 and CL040015], NSF I-Corps Team [Grant 1617340], UGA-AU Inter-Institutional Seed Funding, UGA Clinical and Translational Research Unit Seed Grant, American Society for Quality Dr. Richard J. Schlesinger Grant, NUS YIA [Grant R-397–000-173–133], PHS [Grant UL1TR000454] from the Clinical and Translational Science Award Program, NIH National Center for Advancing Translational Sciences. This work was also supported by the Singapore Academic Research Fund under Grant [R-397-000-227-112], and NUSRI China and NMRC Bedside & Bench [Grant R-397-000-245-511].

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