Literature DB >> 21487903

A simple 5-DoF MR-compatible motion signal measurement system.

Soon-Cheol Chung1, Hyung-Sik Kim, Jae-Woong Yang, Su-Jeong Lee, Mi-Hyun Choi, Ji-Hye Kim, Hong-Won Yeon, Jang-Yeon Park, Jeong-Han Yi, Gye-Rae Tack.   

Abstract

The purpose of this study was to develop a simple motion measurement system with magnetic resonance (MR) compatibility and safety. The motion measurement system proposed here can measure 5-DoF motion signals without deteriorating the MR images, and it has no effect on the intense and homogeneous main magnetic field, the temporal-gradient magnetic field (which varies rapidly with time), the transceiver radio frequency (RF) coil, and the RF pulse during MR data acquisition. A three-axis accelerometer and a two-axis gyroscope were used to measure 5-DoF motion signals, and Velcro was used to attach a sensor module to a finger or wrist. To minimize the interference between the MR imaging system and the motion measurement system, nonmagnetic materials were used for all electric circuit components in an MR shield room. To remove the effect of RF pulse, an amplifier, modulation circuit, and power supply were located in a shielded case, which was made of copper and aluminum. The motion signal was modulated to an optic signal using pulse width modulation, and the modulated optic signal was transmitted outside the MR shield room using a high-intensity light-emitting diode and an optic cable. The motion signal was recorded on a PC by demodulating the transmitted optic signal into an electric signal. Various kinematic variables, such as angle, acceleration, velocity, and jerk, can be measured or calculated by using the motion measurement system developed here. This system also enables motion tracking by extracting the position information from the motion signals. It was verified that MR images and motion signals could reliably be measured simultaneously.

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Year:  2011        PMID: 21487903     DOI: 10.3758/s13428-011-0082-z

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  2 in total

1.  Integrated 3D motion analysis with functional magnetic resonance neuroimaging to identify neural correlates of lower extremity movement.

Authors:  Manish Anand; Jed A Diekfuss; Alexis B Slutsky-Ganesh; Dustin R Grooms; Scott Bonnette; Kim D Barber Foss; Christopher A DiCesare; Jennifer L Hunnicutt; Gregory D Myer
Journal:  J Neurosci Methods       Date:  2021-03-08       Impact factor: 2.390

2.  Development of an fMRI-compatible driving simulator with simultaneous measurement of physiological and kinematic signals: The multi-biosignal measurement system for driving (MMSD).

Authors:  Hyung-Sik Kim; Kyung-Ryoul Mun; Mi-Hyun Choi; Soon-Cheol Chung
Journal:  Technol Health Care       Date:  2020       Impact factor: 1.285

  2 in total

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