The long-term objective of this research is to understand and develop engineering solutions to the difficulties presented to magnetic resonance imaging (MRI) at high magnetic field strength.
Specific Aim 1 : Develop and validate a methodology to analyze, quantify, and eliminate static field distortion artifacts produced in high field MR images by regional differences in magnetic susceptibility. This information will be used to develop artifact-correction techniques for high-speed functional MRI and distortion-free high field MRI of human, animal, and cellular anatomy.
Specific Aim 1 : Develop and validate models and methods to analyze and quantify radio frequency (RF) magnetic field distortions occurring in the human head and body of men, women, children, and fetuses in utero. These analyses will be used to evaluate regional RF power deposition from specific pulse sequences for patient safety and to develop methods to minimize RF inhomogeneity. In the spirit of the Bioengineering Research Partnership this proposal will draw expertise and partnership from the Center for Magnetic Resonance Research at the University of Minnesota (a premiere 7.0 Tesla whole body MRI research facility), REMCOM (a magnetic field modeling software company), and the National High Magnetic Field Laboratory (a National Research Laboratory incorporating 17.8 Tesla MRI microscopy and 11.7 Tesla small animal imaging). The results of these studies will aid a wide array of researchers in high speed distortion-free functional MRI, anatomical studies at both low and high field strengths, MR microscopy in animals and intact cells, evaluation of patient safety, and in many cases, reclaim techniques which have proven problematic at high field strengths.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB000454-04
Application #
6942693
Study Section
Special Emphasis Panel (ZRG1-SRB (03))
Program Officer
Mclaughlin, Alan Charles
Project Start
2002-09-30
Project End
2007-08-31
Budget Start
2005-09-01
Budget End
2006-08-31
Support Year
4
Fiscal Year
2005
Total Cost
$1,271,683
Indirect Cost
Name
Pennsylvania State University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
129348186
City
Hershey
State
PA
Country
United States
Zip Code
17033
Meadowcroft, Mark D; Wang, Jianli; Purnell, Carson J et al. (2018) Reduced Cerebral White Matter Integrity Assessed by DTI in Cognitively Normal H63D-HFE Polymorphism Carriers. J Neuroimaging 28:126-133
Meadowcroft, Mark D; Wang, Jianli; Purnell, Carson J et al. (2016) Reduced white matter MRI transverse relaxation rate in cognitively normal H63D-HFE human carriers and H67D-HFE mice. Brain Imaging Behav 10:1231-1242
Martin, John T; Collins, Christopher M; Ikuta, Kensuke et al. (2015) Population average T2 MRI maps reveal quantitative regional transformations in the degenerating rabbit intervertebral disc that vary by lumbar level. J Orthop Res 33:140-8
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
Meadowcroft, Mark D; Peters, Douglas G; Dewal, Rahul P et al. (2015) The effect of iron in MRI and transverse relaxation of amyloid-beta plaques in Alzheimer's disease. NMR Biomed 28:297-305
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
Carluccio, Giuseppe; Collins, Christopher M; Erricolo, Danilo (2014) A fast, analytically based method to optimize local transmit efficiency for a transmit array. Magn Reson Med 71:432-9
Cao, Zhipeng; Oh, Sukhoon; Sica, Christopher T et al. (2014) Bloch-based MRI system simulator considering realistic electromagnetic fields for calculation of signal, noise, and specific absorption rate. Magn Reson Med 72:237-47
Oh, Sukhoon; Ryu, Yeun-Chul; Carluccio, Giuseppe et al. (2014) Measurement of SAR-induced temperature increase in a phantom and in vivo with comparison to numerical simulation. Magn Reson Med 71:1923-31

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