An important trend in MR in recent years has been the move towards higher magnetic field (B0) strengths, which promises to advance disease understanding and diagnosis with enhancements in detection sensitivity, metabolite resolution, imaging speed, and tissue contrast. However there are technical challenges that severely hamper the practice of human high field MR, including a major one that accompanies the creation of MR signal using radio frequency EM fields - B1 and concomitant E fields. As B0 strength increases, the degradation in B1 homogeneity due to increased wave behavior often causes severe image quality issues. Meanwhile E-induced RF heating of the subject body (SAR) poses increasingly inhibiting constraints on the application of high-performance MR sequences. With a great capacity for alleviating the limitations imposed by B1 inhomogeneity and SAR exacerbation, parallel RF transmit is emerging as a key enabling technology for high field MR. This project aims at significantly improving human high field MR capability and safety by creating innovative solutions to spin excitation, RF apparatus, and RF energy deposition in subjects. This will be accomplished with specific efforts on a) developing a much needed non-invasive method for measuring, predicting, and proactively managing SAR, b) leveraging the method in optimizing parallel excitation pulses and in breaking new ground of 7T MR applications, and c) transforming RF hardware and pulse designs to considerably boost high field MR system performance. The successful completion of this project will lead to quantitative / predictive methods that enable the fulfillment of the full potential of in vivo imaging at high field, high impact body imaging applications, and innovative RF methods that promise to bring signal creation and detection performance to a new level.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB011551-04
Application #
8608523
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Liu, Guoying
Project Start
2011-02-01
Project End
2015-07-31
Budget Start
2014-08-01
Budget End
2015-07-31
Support Year
4
Fiscal Year
2014
Total Cost
$646,526
Indirect Cost
$215,291
Name
New York University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
121911077
City
New York
State
NY
Country
United States
Zip Code
10016
Deniz, Cem M; Alon, Leeor; Brown, Ryan et al. (2016) Subject- and resource-specific monitoring and proactive management of parallel radiofrequency transmission. Magn Reson Med 76:20-31
Jiaen Liu; Van de Moortele, Pierre-Francois; Xiaotong Zhang et al. (2016) Simultaneous Quantitative Imaging of Electrical Properties and Proton Density From B1 Maps Using MRI. IEEE Trans Med Imaging 35:2064-2073
Vaidya, Manushka V; Collins, Christopher M; Sodickson, Daniel K et al. (2016) Dependence of B1+ and B1- Field Patterns of Surface Coils on the Electrical Properties of the Sample and the MR Operating Frequency. Concepts Magn Reson Part B Magn Reson Eng 46:25-40
Carluccio, Giuseppe; Bruno, Mary; Collins, Christopher M (2016) Predicting long-term temperature increase for time-dependent SAR levels with a single short-term temperature response. Magn Reson Med 75:2195-203
Cloos, Martijn A; Knoll, Florian; Zhao, Tiejun et al. (2016) Multiparametric imaging with heterogeneous radiofrequency fields. Nat Commun 7:12445
Alon, Leeor; Deniz, Cem Murat; Carluccio, Giuseppe et al. (2016) Effects of Anatomical Differences on Electromagnetic Fields, SAR, and Temperature Change. Concepts Magn Reson Part B Magn Reson Eng 46:8-18
Xin, Sherman Xuegang; Gu, Shiyong; Carluccio, Giuseppe et al. (2015) Consideration of the effects of intense tissue heating on the RF electromagnetic fields during MRI: simulations for MRgFUS in the hip. Phys Med Biol 60:301-7
Cao, Zhipeng; Park, Joshua; Cho, Zang-Hee et al. (2015) Numerical evaluation of image homogeneity, signal-to-noise ratio, and specific absorption rate for human brain imaging at 1.5, 3, 7, 10.5, and 14T in an 8-channel transmit/receive array. J Magn Reson Imaging 41:1432-9
Cao, Zhipeng; Oh, Sukhoon; Otazo, Ricardo et al. (2015) Complex difference constrained compressed sensing reconstruction for accelerated PRF thermometry with application to MRI-induced RF heating. Magn Reson Med 73:1420-31
Chang, Gregory; Deniz, Cem M; Honig, Stephen et al. (2014) MRI of the hip at 7T: feasibility of bone microarchitecture, high-resolution cartilage, and clinical imaging. J Magn Reson Imaging 39:1384-93

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