Literature DB >> 23625884

A novel, general-purpose, MR-compatible, manually actuated robotic manipulation system for minimally invasive interventions under direct MRI guidance.

Eftychios G Christoforou1, Ioannis Seimenis, Eleni Andreou, Eleni Eracleous, Nikolaos V Tsekos.   

Abstract

BACKGROUND: Performing minimally invasive interventions under direct MRI guidance offers significant advantages. Required accessibility to the patient inside the MRI scanner is fairly limited, and employment of robotic assistance has been proposed. The development of MR-compatible robotic systems entails engineering challenges related to geometric constraints and the magnetic nature of the scanning environment.
METHODS: A novel, general-purpose, MR-compatible robotic manipulation system has been developed for the performance of minimally invasive interventions inside a cylindrical scanner under direct MRI guidance. The system is endowed with five degrees of freedom (DOF), is characterized by a unique kinematics structure and is manually actuated.
RESULTS: The prototype system was shown to exhibit the required MR-compatibility characteristics and a task-space positioning ability of approximately 5 mm. Needle targeting testing demonstrated a 93% success rate in acquiring a 5 mm spherical target. Phantom testing was performed inside a 3 T scanner and results are reported for an experimental study simulating MRI-guided, manipulator-assisted, MR arthrography.
CONCLUSIONS: Robotic assistance provided by the developed manipulator may effectively facilitate the performance of various MRI-guided, minimally invasive interventions inside a cylindrical scanner.
Copyright © 2013 John Wiley & Sons, Ltd.

Entities:  

Keywords:  MR-compatible robots; image-guided interventions; robot design

Mesh:

Substances:

Year:  2013        PMID: 23625884     DOI: 10.1002/rcs.1504

Source DB:  PubMed          Journal:  Int J Med Robot        ISSN: 1478-5951            Impact factor:   2.547


  1 in total

1.  Automatic Steering of Manually Inserted Needles.

Authors:  Guofan Wu; Xiao Li; Craig A Lehocky; Cameron N Riviere
Journal:  Conf Proc IEEE Int Conf Syst Man Cybern       Date:  2013
  1 in total

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