In the armamentarium of techniques available for contemporary biomedical research carried out with humans at the basic, translational, and clinical level, magnetic resonance (MR) methods have become critical and indispensible, often providing non-invasive measurement capabilities that are simply unavailable from alternative approaches. The central aim of this Biotechnology Research Center (BTRC) grant is to significantly advance such MR based measurement capabilities and their biomedical applications in humans by: 1) developing novel image acquisition and reconstruction technologies and engineering solutions through five TRD (Technology Research and Development) projects, and 2) enabling a large number of Collaborative and Service projects to acquire advanced structural, functional, and physiological information to investigate human organ function in health and disease, targeting both human brain and the abdominal organs. This central aim will be pursued with a focus on high (3 and 4 Tesla) and particularly ultrahigh (7 Tesla and higher) magnetic fields, which provide numerous advantages but also pose several significant technological challenges that must be overcome. This is a unique feature and a particular strength of this BTRC; ultrahigh field MR and numerous accompanying methods for human studies were pioneered in this BTRC, yielding previously unavailable detection sensitivity and precision. This BTRC is also home to some of the most advanced, unique and rare high field MR instrumentation in the world. Collectively, these unique instruments and the proposed methodological developments are expected to be transformative for MR technology and its applications.

Public Health Relevance

Magnetic resonance (MR) imaging is a non-invasive is method that can be used for clinical, preclinical, translational and basic research studies with humans. This grant aims to significantly advance the capabilities of the MR technique through new technological developments and engineering solutions, targeting studies of function and circuitry of the human brain, and physiology of the heart, kidney, and prostate of the human abdomen.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Biotechnology Resource Grants (P41)
Project #
4P41EB015894-24
Application #
9088458
Study Section
Special Emphasis Panel (ZEB1)
Program Officer
Conroy, Richard
Project Start
1997-06-01
Project End
2018-05-31
Budget Start
2016-06-01
Budget End
2017-05-31
Support Year
24
Fiscal Year
2016
Total Cost
Indirect Cost
Name
University of Minnesota Twin Cities
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
555917996
City
Minneapolis
State
MN
Country
United States
Zip Code
55455
Kemper, Valentin G; De Martino, Federico; Emmerling, Thomas C et al. (2018) High resolution data analysis strategies for mesoscale human functional MRI at 7 and 9.4T. Neuroimage 164:48-58
Ring, Hattie L; Zhang, Jinjin; Klein, Nathan D et al. (2018) Establishing the overlap of IONP quantification with echo and echoless MR relaxation mapping. Magn Reson Med 79:1420-1428
U?urbil, Kamil (2018) Imaging at ultrahigh magnetic fields: History, challenges, and solutions. Neuroimage 168:7-32
Li, Xiufeng; Auerbach, Edward J; Van de Moortele, Pierre-Francois et al. (2018) Quantitative single breath-hold renal arterial spin labeling imaging at 7T. Magn Reson Med 79:815-825
Jang, Albert; Wu, Xiaoping; Auerbach, Edward J et al. (2018) Designing 3D selective adiabatic radiofrequency pulses with single and parallel transmission. Magn Reson Med 79:701-710
Hendrix, Claudia M; Campbell, Brett A; Tittle, Benjamin J et al. (2018) Predictive encoding of motor behavior in the supplementary motor area is disrupted in parkinsonism. J Neurophysiol 120:1247-1255
Gulban, Omer F; De Martino, Federico; Vu, An T et al. (2018) Cortical fibers orientation mapping using in-vivo whole brain 7?T diffusion MRI. Neuroimage 178:104-118
Eryaman, Yigitcan; Zhang, Patrick; Utecht, Lynn et al. (2018) Investigating the physiological effects of 10.5 Tesla static field exposure on anesthetized swine. Magn Reson Med 79:511-514
Penheiter, Alan R; Deelchand, Dinesh K; Kittelson, Emily et al. (2018) Identification of a pyruvate-to-lactate signature in pancreatic intraductal papillary mucinous neoplasms. Pancreatology 18:46-53
Peña, Edgar; Zhang, Simeng; Patriat, Remi et al. (2018) Multi-objective particle swarm optimization for postoperative deep brain stimulation targeting of subthalamic nucleus pathways. J Neural Eng 15:066020

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