The motivation for the proposed program is the realization that the current multi-use whole-body MRI scanners limit optimal neuroimaging. Current scanners are based on the one-size-fits-all concept of whole-body imaging and do not have the full range of functionalities that could be achieved in a scanner designed to image only the brain. GE Global Research and the Mayo Clinic propose to jointly develop and validate a radically new MR system optimized for neuroimaging. This system is based on a revolutionary lightweight magnet, gradient and RF design to permit high quality 3T MRI of the human brain. This new scanner will provide much greater patient comfort, markedly improved image quality, and much higher performance in terms of speed and range of imaging capabilities such as gradient strength and slew rate. In addition, the significant reduction in size and weight will allow the placement of the scanner in locations that are currently inaccessible to whole-body MRI scanners. This program will develop: 1) Enabling cryogen-free magnet and gradient technologies include advanced cryogenic and magnet design, head-only high-performance gradients, an RF coil with integrated fMRI simulation capabilities, and optimized patient ergonomics. 2) A high-performance prototype 3T head-only imaging system, that will be evaluated on human volunteers. 3) Optimized image acquisition protocols and image analysis technology to permit improved assessment of brain disorders.

Public Health Relevance

Global Research and the Mayo Clinic propose to develop a new concept MRI brain scanner that is both lightweight and high performance. This scanner represents a 10 times reduction in weight and can be placed in locations that are easily accessible to patients. Successful implementation of this idea will allow greater availability of advanced neuroimaging to meet a range of neurological and psychiatric disorders, such as depression, autism, traumatic brain injury, and stroke.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB010065-04
Application #
8534117
Study Section
Special Emphasis Panel (ZRG1-SBIB-V (50))
Program Officer
Liu, Guoying
Project Start
2010-09-30
Project End
2015-08-31
Budget Start
2013-09-01
Budget End
2014-08-31
Support Year
4
Fiscal Year
2013
Total Cost
$973,028
Indirect Cost
$317,970
Name
General Electric Global Research Center
Department
Type
DUNS #
086188401
City
Niskayuna
State
NY
Country
United States
Zip Code
12309
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Tao, Shengzhen; Weavers, Paul T; Trzasko, Joshua D et al. (2018) The effect of concomitant fields in fast spin echo acquisition on asymmetric MRI gradient systems. Magn Reson Med 79:1354-1364
Yin, Ziying; Sui, Yi; Trzasko, Joshua D et al. (2018) In vivo characterization of 3D skull and brain motion during dynamic head vibration using magnetic resonance elastography. Magn Reson Med 80:2573-2585
Shu, Yunhong; Tao, Shengzhen; Trzasko, Joshua D et al. (2018) Magnetization-prepared shells trajectory with automated gradient waveform design. Magn Reson Med 79:2024-2035
Weavers, Paul T; Tao, Shengzhen; Trzasko, Joshua D et al. (2018) B0 concomitant field compensation for MRI systems employing asymmetric transverse gradient coils. Magn Reson Med 79:1538-1544
Tao, Ashley T; Shu, Yunhong; Tan, Ek T et al. (2018) Improving apparent diffusion coefficient accuracy on a compact 3T MRI scanner using gradient nonlinearity correction. J Magn Reson Imaging 48:1498-1507
Tao, Shengzhen; Weavers, Paul T; Trzasko, Joshua D et al. (2017) Gradient pre-emphasis to counteract first-order concomitant fields on asymmetric MRI gradient systems. Magn Reson Med 77:2250-2262
Weavers, Paul T; Tao, Shengzhen; Trzasko, Joshua D et al. (2017) Image-based gradient non-linearity characterization to determine higher-order spherical harmonic coefficients for improved spatial position accuracy in magnetic resonance imaging. Magn Reson Imaging 38:54-62
Tao, S; Trzasko, J D; Gunter, J L et al. (2017) Gradient nonlinearity calibration and correction for a compact, asymmetric magnetic resonance imaging gradient system. Phys Med Biol 62:N18-N31

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