Phantom haptic device upgrade for use in fMRI

Technical Note

Abstract

This paper presents an upgrade of a Phantom Premium 1.5 haptic device for use within a functional magnetic resonance imaging (fMRI) environment. A special mechanical extension that allows the haptic device to operate at a safe distance from the high-density magnetic field of an fMRI scanner has been developed. Extended haptic system was subjected to a series of tests to confirm electromagnetic compatibility with the fMRI scanner, for which key results are presented. With this fMRI compatible haptic platform a human brain activation during controlled upper limb movements can be studied. A simple virtual environment reaching task was programmed to study brain motor control functions. At the end preliminary results of an ongoing neurophysiological study are presented.

Keywords

Phantom haptic device fMRI Mechanical extension Electromagnetic compatibility Brain imaging Reaching Human motor control 

References

  1. 1.
    Bardorfer A, Munih M, Zupan A, Primozic A (2001) Upper limb motion analysis using haptic interface. IEEE/ASME Trans Mechatron 6(3): 253–260CrossRefGoogle Scholar
  2. 2.
    Chapman H, Gavrilescu M, Wang H, Kean M, Egan G, Castiello U (2002) Posterior parietal cortex control of reach-to-grasp movements in humans. Eur J Neurosci 15:2037–2042CrossRefGoogle Scholar
  3. 3.
    Chapuis D, Gassert R, Sache L, Burdet E, Bleuler H (2004) Design of a simple MRI/fMRI compatible force/torque sensor. In: Proceedings of the 2004 IEEE/RSJ international conference on intelligent robots and systemsGoogle Scholar
  4. 4.
    Chinzei K, Miller K (2001) MRI guided surgical robot. In: Proceedings of the 2001 Australian conference on robotics and automationGoogle Scholar
  5. 5.
    Desmurget M, Gréa H, Grethe JS, Prablanc C, Alexander GE, Grafton ST (2001) Functional anatomy of nonvisual feedback loops during reaching: a positron emission tomography study. J Neurosci 21:2919–2929Google Scholar
  6. 6.
    Di Diodato LM, Mraz R, Baker SN, Graham SJ (2007) A haptic force feedback device for virtual reality-fMRI experiments. IEEE Trans Neural Syst Rehabil Eng 15(4):570–576CrossRefGoogle Scholar
  7. 7.
    Flueckiger M, Bullo M, Chapuis D, Gassert R, Perriard Y (2005) fMRI compatible haptic interface actuated with traveling wave ultrasonic motor. In: Proceedings of the 2005 industry applications conference, 40th IAS annual meeting, Vol. 3, pp 2075–2082Google Scholar
  8. 8.
    Friston KJ, Holmes AP, Worsley KJ, Poline JP, Frith CD, Frackowiak RSJ (1995) Statistical parametric maps in functional imaging: a general linear approach. Hum Brain Mapp 2:189–210CrossRefGoogle Scholar
  9. 9.
    Gassert R, Moser R, Burdet E, Bleuler H (2006) MRI/fMRI-compatible robotic system with force feedback for interaction with human motion. IEEE/ASME Trans Mechatron 11:216–224CrossRefGoogle Scholar
  10. 10.
    Gassert R, Dovat L, Lambercy O, Ruffieux Y, Chapuis D, Ganesh G, Burdet E, Bleuler H (2006) A 2-DOF fMRI compatible haptic interface to investigate the neural control of arm movements. In: Proceedings of the 2006 IEEE international conference on robotics and automationGoogle Scholar
  11. 11.
    Izawa J, Shimizu T, Aodai T, Kondo T, Gomi H, Toyama S, Ito K (2006). MR compatible manipulandum with ultrasonic motor for fMRI studies. In: Proceedings of the 2006 IEEE international conference on robotics and automation, OrlandoGoogle Scholar
  12. 12.
    Khanicheh A, Muto A, Triantafyllou C, Weinberg B, Astrakas L, Tzika A, Mavroidis C (2006) fMRI-compatible rehabilitation hand device. J NeuroEng Rehab 3:24CrossRefGoogle Scholar
  13. 13.
    Khanicheh A, Mintzopoulos D, Weinberg B, Tzika A, Mavroidis C (2007). MR_CHIROD v.2: a fMRI compatible mechatronic hand rehabilitation device. In: Proceedings of the 10th IEEE international conference on rehabilitation roboticsGoogle Scholar
  14. 14.
    Lehericy S, Bardinet E, Tremblay L, Van de Moortele PF, Pochon JB, Dormont D, Kim DS, Yelnik J, Ugurbil K (2006) Motor control in basal ganglia circuits using fMRI and brain atlas approaches. Cereb Cortex 16:149–161CrossRefGoogle Scholar
  15. 15.
    Mashimo T, Toyama S (2007) MRI compatibility of a manipulator using a spherical ultrasonic motor. In: Proceedings of the 12th IFToMM world congressGoogle Scholar
  16. 16.
    Mraz R, Hong J, Quintin G, Staines WR, McIlroy WE, Zakzanis KK, Graham SJ (2003) A platform for combining virtual reality experiments with functional magnetic resonance imaging. Cyberpsychol Behav 6(4):359–368CrossRefGoogle Scholar
  17. 17.
    Naranjo JR, Brovelli A, Longo R, Budai R, Kristeva R, Battaglini PP (2007) EEG dynamics of the frontoparietal network during reaching preparation in humans. Neuroimage 34:1673–1682CrossRefGoogle Scholar
  18. 18.
    NEMA Standards Publication MS 1-2001, Determination of Signal-to-Noise Ratio (SNR) in Diagnostic Magnetic Resonance Imaging.Google Scholar
  19. 19.
    Ogawa S, Menon RS, Kim SG, Ugurbil K (1998) On the characteristics of functional magnetic resonance imaging of the brain. Annu Rev Biophys Biomol Struct 27:447–474CrossRefGoogle Scholar
  20. 20.
    Patriciu A, Petrisor D, Muntener M, Mazilu D, Schar M, Stoianovici D (2007) Automatic brachytherapy seed placement under MRI guidance. IEEE Trans Biomed Eng 54:1499–1506CrossRefGoogle Scholar
  21. 21.
    Schaefers G (2008) Testing MR safety and compatibility. IEEE Eng Med Biol Mag 27(3):23–27CrossRefGoogle Scholar
  22. 22.
    Schueler BA, Parrish TB, Lin JC, Hammer BE, Pangrle BJ, Ritenour ER, Kucharczyk J, Truwit CL (1999) MRI compatibility and visibility assessment of implantable medical devices. J Magn Reson Imaging 9:596–603CrossRefGoogle Scholar
  23. 23.
    SIEMENS Medical Solutions (2006) MAGNETIC RESONANCE MAGNETOM Trio A Tim System, Technical DrawingGoogle Scholar
  24. 24.
    Specifications Comparison For The Phantom Premium 1.0, 1.5, 1.5 High Force, And 3.0 Haptic Devices. http://www.sensable.com/products-datasheets.htm
  25. 25.
    Toma K, Nakai T (2002) Functional MRI in human motor control studies and clinical applications. Magn Reson Med Sci 1:109–120CrossRefGoogle Scholar
  26. 26.
    Vogan J, Wingert A, Plante JS, Dubowsky S, Hafez M, Kacher D, Jolesz F (2004) Manipulation in MRI devices using electrostrictive polymer actuators with an application to reconfigurable imaging coils. In: Proceedings of the 2004 IEEE international conference on robotics and automation, New OrleansGoogle Scholar
  27. 27.
    Yu N, Murr W, Blickenstorfer A, Kollias S, Riener R (2007) An fMRI compatible haptic interface with pneumatic actuation. In: Proceedings of the 10th IEEE international conference on rehabilitation roboticsGoogle Scholar

Copyright information

© International Federation for Medical and Biological Engineering 2009

Authors and Affiliations

  1. 1.Faculty of Electrical EngineeringLjubljanaSlovenia
  2. 2.Division of Neurology, Institute of Clinical NeurophysiologyUniversity Medical Centre LjubljanaLjubljanaSlovenia

Personalised recommendations