MRI/fMRI-compatible robotic system with force feedback for interaction with human motion

被引:142
作者
Gassert, R [1 ]
Moser, R
Burdet, E
Bleuler, H
机构
[1] Ecole Polytech Fed Lausanne, Lab Robot Syst, CH-1015 Lausanne, Switzerland
[2] ALSTOM Ltd, CH-5400 Baden, Switzerland
[3] Natl Univ Singapore, Dept Mech Engn, Singapore 117548, Singapore
[4] Univ London Imperial Coll Sci Technol & Med, Dept Bioengn, London SW7 2AZ, England
关键词
funtional MRI (fMRI); force feedback; haptic interface; MR-compatible sensors and actuators; magnetic resonance imaging (MRI); neuroscience; robotics;
D O I
10.1109/TMECH.2006.871897
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a robotic system that is compatible with anatomical magnetic resonance imaging (MRI) as well as with the more sensitive functional MRI (fMRI), and can safely and smoothly interact with human motion during the imaging. The system takes advantage of the electromagnetic shield that encloses the MR room by placing the interfering or sensitive components outside the shield, in the control room. This eliminates the need for extensive compatibility testing before each use. The concept is based on a conventional actuator placed outside the scanner room and a hydrostatic connection to transmit force and motion to an MR-compatible slave placed next to or inside the MR scanner. A force sensor, based on reflected light intensity measurement over optical fibers, measures interaction forces with the human subject. A robotic interface for wrist motion demonstrates the MR compatibility of this concept and the possibility to interact with various dynamic environments during functional imaging. This technology provides a basis for applications such as assistive devices for interventional MRI and haptic interfaces for neuroscience investigations.
引用
收藏
页码:216 / 224
页数:9
相关论文
共 33 条
[1]   4 CHANNELS MEDIATE THE MECHANICAL ASPECTS OF TOUCH [J].
BOLANOWSKI, SJ ;
GESCHEIDER, GA ;
VERRILLO, RT ;
CHECKOSKY, CM .
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 1988, 84 (05) :1680-1694
[2]   The central nervous system stabilizes unstable dynamics by learning optimal impedance [J].
Burdet, E ;
Osu, R ;
Franklin, DW ;
Milner, TE ;
Kawato, M .
NATURE, 2001, 414 (6862) :446-449
[3]  
BURDET E, 2004, 9 INT S EXP ROB ISER
[4]  
Chapuis D., 2004, P IEEE RSJ INT C INT, V3, P2593
[5]  
Chinzei K, 2000, 2000 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2000), VOLS 1-3, PROCEEDINGS, P727, DOI 10.1109/IROS.2000.894690
[6]  
CHINZEI K, 1999, P 2 INT C MED IM COM, P1020
[7]  
DEVLUGT E, 1993, J NEUROSCI METH, V129, P151
[8]  
Frackowiak R.S.J., 2003, HUMAN BRAIN FUNCTION, V2nd
[9]   Dynamics and control of an MRI compatible master-slave system with hydrostatic transmission [J].
Ganesh, G ;
Gassert, R ;
Burdet, E ;
Bleuler, H .
2004 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1- 5, PROCEEDINGS, 2004, :1288-1294
[10]   Equilibrium-point control hypothesis examined by measured arm stiffness during multijoint movement [J].
Gomi, H ;
Kawato, M .
SCIENCE, 1996, 272 (5258) :117-120