Center for Magnetic Resonance Research at the University of Minnesota is an interdepartmental and interdisciplinary research laboratory that has been funded as a Biotechnology Research Resource (BTRR) during the last thirteen years. The central research focus of this BTRR is development and improvement of methodologies and technologies for high magnetic resonance (MR) imaging and spectroscopy, and providing state-of-the-art instrumentation, expertise and infrastructure to enable the faculty, trainees and staff of several institutions in the USA and abroad to carry out basic and applied biomedical research that utilizes these unique high magnetic field (4 to 16.4 Tesla) capabilities. The general aim of this application is to seek continued support for this Biomedical Technology Research Resource so as to pursue new methodological and technical developments and maintain a National Research Resource with unique instrumentation and expertise that is not readily available elsewhere. A central and primary aim of the Core projects is to develop techniques for obtaining simultaneous information on aspects of organ function, perfusion, oxygen extraction, metabolism, and anatomy in humans non-invasively, using the unique advantages provided by high magnetic fields, such as the high signal-to-noise ratio, increased susceptibility effects associated with blood for imaging brain function, longer T1s for measurement of tissue perfusion, increased chemical-shift resolution for improved detection of neurochemicals, and the use of magnetic isotopes of biologically active atoms, such as O-17, which are not accessible easily at low magnetic fields due to their low gyromagnetic ratio. These techniques have been and will continue to be utilized to support a large community of NIH funded researchers working in neurosciences, functional brain mapping, brain metabolism, metabolic disorders, and cardiac pathology and bioenergetics.

National Institute of Health (NIH)
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Biotechnology Resource Grants (P41)
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Special Emphasis Panel (ZRG1-SBIB-S (40))
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Liu, Christina
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University of Minnesota Twin Cities
Schools of Medicine
United States
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O'Donnell, Lauren J; Daducci, Alessandro; Wassermann, Demian et al. (2017) Advances in computational and statistical diffusion MRI. NMR Biomed :
U?urbil, Kamil (2017) Imaging at ultrahigh magnetic fields: History, challenges, and solutions. Neuroimage :
Maliszewski-Hall, Anne M; Alexander, Michelle; Tk√°?, Ivan et al. (2017) Differential Effects of Intrauterine Growth Restriction on the Regional Neurochemical Profile of the Developing Rat Brain. Neurochem Res 42:133-140
Lehto, Lauri J; Idiyatullin, Djaudat; Zhang, Jinjin et al. (2017) MB-SWIFT functional MRI during deep brain stimulation in rats. Neuroimage 159:443-448
Manuchehrabadi, Navid; Gao, Zhe; Zhang, Jinjin et al. (2017) Improved tissue cryopreservation using inductive heating of magnetic nanoparticles. Sci Transl Med 9:
Magnitsky, Sergey; Zhang, Jinjin; Idiyatullin, Djaudat et al. (2017) Positive contrast from cells labeled with iron oxide nanoparticles: Quantitation of imaging data. Magn Reson Med 78:1900-1910
Lee, Amani L; Gee, Clifford T; Weegman, Bradley P et al. (2017) Oxygen Sensing with Perfluorocarbon-Loaded Ultraporous Mesostructured Silica Nanoparticles. ACS Nano 11:5623-5632
Pisharady, Pramod Kumar; Sotiropoulos, Stamatios N; Sapiro, Guillermo et al. (2017) A Sparse Bayesian Learning Algorithm for White Matter Parameter Estimation from Compressed Multi-shell Diffusion MRI. Med Image Comput Comput Assist Interv 10433:602-610
Pisharady, Pramod Kumar; Sotiropoulos, Stamatios N; Duarte-Carvajalino, Julio M et al. (2017) Estimation of white matter fiber parameters from compressed multiresolution diffusion MRI using sparse Bayesian learning. Neuroimage :
Weingärtner, Sebastian; Shenoy, Chetan; Rieger, Benedikt et al. (2017) Temporally resolved parametric assessment of Z-magnetization recovery (TOPAZ): Dynamic myocardial T1 mapping using a cine steady-state look-locker approach. Magn Reson Med :

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