The long-term objective of this Shared Instrumentation Grant application is to bring to the research community at Stanford a next-generation 7 Tesla whole-body magnetic resonance imaging (MRI) system, specifically the GE Discover MR950 7.0T system with parallel transmit capabilities, to serve as a platform for cutting-edge imaging technology research and development, as well as for radiological and neuroscience research. The approach we describe in this proposal is interdisciplinary, bringing together researchers from the specialties of physics, engineering, bioengineering, biology, physiology, radiology, neurology, psychiatry, and psychology. The shared instrumentation requested here will act as a catalyst and common platform for this group to create, refine, implement, validate and utilize the most advanced forms of magnetic resonance imaging. Major patient-based imaging research applications of the next-generation 7T MRI platform include studies of brain development, psychopathology, drug dependence, alcohol-induced brain damage and its functional consequences, neurodegenerative processes, Williams, Turner and fragile X syndromes, brain injury, breast cancer, joint injuries, and therapeutic interventions associated with some or all of the above. Major technology development directions that will be enabled by this next-generation 7T MRI platform include MR spectroscopic imaging (MRSI) of the proton (1H) nucleus as well as non-proton nuclei, in both brain and musculoskeletal systems, advanced perfusion and diffusion tensor imaging in brain, whole breast imaging, and, importantly, parallel transmit technology for mitigating B1 inhomogeneities that limit the use of high magnetic field MRI in any organ system. The overarching aims of the proposed research are to develop software and hardware methods to allow 7T MRI to have a much greater impact on clinical research than possible before, as well as to extend the capabilities of high-field MRI to unprecedented levels of spatial resolution, metabolite and iron sensitivity, and tissue characterization. The proposed research projects are highly compatible with the mission of the Department of Health and Human Services and relevant to public health. The proposed research will take place at interdisciplinary laboratories directed by international leaders in imaging research: high field and high sensitivity MRI methodology development (Dr. Brian Rutt, PI), developmental disorders and clinical neuroscience (Dr. Allan Reiss), DTI methodology development (Dr. Roland Bammer), musculoskeletal disorders and radiological research (Dr. Garry Gold), breast MRI methodology development (Dr. Brian Hargreaves), parallel transmit and RF pulse technology development (Dr. John Pauly), psychiatric disorders and neuroimaging (Drs. Dolf Pfefferbaum and Edith Sullivan), MR spectroscopic imaging methodology development (Dr. Dan Spielman), psychiatric disorders and clinical neuroscience (Dr. Edith Sullivan), cognitive neuroscience and neuroimaging (Dr. Brian Wandell) and neurovascular imaging (Dr. Greg Zaharchuk). Project Narrative / Relevance: Disorders of brain development and function (both early and late in life), breast cancer and joint injuries/pain are three disparate pathologies that affect billions of people worldwide. The placement of a next generation, human 7T MRI system to Stanford will provide a platform for significant expansion of not just MRI methodology development, but also both basic biological as well as clinical research, all of which promise to contribute substantively to our institution's long-term goals for improving the health and well being of individuals suffering from these disorders.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biomedical Research Support Shared Instrumentation Grants (S10)
Project #
1S10RR026351-01A1
Application #
8049779
Study Section
Special Emphasis Panel (ZRG1-SBIB-D (30))
Program Officer
Levy, Abraham
Project Start
2011-04-01
Project End
2014-03-31
Budget Start
2011-04-01
Budget End
2014-03-31
Support Year
1
Fiscal Year
2011
Total Cost
$600,000
Indirect Cost
Name
Stanford University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305
Tian, Qiyuan; Wintermark, Max; Jeffrey Elias, W et al. (2018) Diffusion MRI tractography for improved transcranial MRI-guided focused ultrasound thalamotomy targeting for essential tremor. Neuroimage Clin 19:572-580
Brewer, Kimberly D; Spitler, Ryan; Lee, Kayla R et al. (2018) Characterization of Magneto-Endosymbionts as MRI Cell Labeling and Tracking Agents. Mol Imaging Biol 20:65-73
Pendse, Mihir; Stara, Riccardo; Mehdi Khalighi, Mohammad et al. (2018) IMPULSE: A scalable algorithm for design of minimum specific absorption rate parallel transmit RF pulses. Magn Reson Med :
Lee, Kayla R; Wakeel, Abdul; Chakraborty, Papia et al. (2018) Cell Labeling with Magneto-Endosymbionts and the Dissection of the Subcellular Location, Fate, and Host Cell Interactions. Mol Imaging Biol 20:55-64
Winkler, Simone A; Schmitt, Franz; Landes, Hermann et al. (2018) Gradient and shim technologies for ultra high field MRI. Neuroimage 168:59-70
Bian, W; Tranvinh, E; Tourdias, T et al. (2016) In Vivo 7T MR Quantitative Susceptibility Mapping Reveals Opposite Susceptibility Contrast between Cortical and White Matter Lesions in Multiple Sclerosis. AJNR Am J Neuroradiol 37:1808-1815
Chen, Yuanxin; Hamilton, Amanda M; Parkins, Katie M et al. (2016) MRI and histopathologic study of a novel cholesterol-fed rabbit model of xanthogranuloma. J Magn Reson Imaging 44:673-82
Rioux, James A; Levesque, Ives R; Rutt, Brian K (2016) Biexponential longitudinal relaxation in white matter: Characterization and impact on T1 mapping with IR-FSE and MP2RAGE. Magn Reson Med 75:2265-77
Winkler, Simone A; Rutt, Brian K (2015) Practical methods for improving B1+ homogeneity in 3 Tesla breast imaging. J Magn Reson Imaging 41:992-9
Parekh, Mansi B; Rutt, Brian K; Purcell, Ryan et al. (2015) Ultra-high resolution in-vivo 7.0T structural imaging of the human hippocampus reveals the endfolial pathway. Neuroimage 112:1-6

Showing the most recent 10 out of 23 publications