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Resource for Quantitative Functional Magnetic Resonance Imaging is an
interdepartmental and interdisciplinary laboratory combining facilities of
the F.M. Kirby Research Center for Functional Brain Imaging at the Kennedy
Krieger Institute (KKI) and the Center for Imaging Science (CIS) at Johns
Hopkins University (JHU). This Resource Center is dedicated to using its
unique expertise to design novel MRI and MRS data acquisition and processing
technology in order to facilitate the biomedical research of a large
community of clinicians and neuroscientists at several institutions in
Maryland and throughout the USA, with a special focus on pediatric and
neurodevelopmental applications. These NIH-funded researchers have a
continued need for the development of new quantitative technology to better
achieve the aims in their grants, which focus on topics such as mental
retardation, trauma, impaired brain development, attention, working memory,
psychosis, cancer, stroke, and the understanding of brain function. The
Kirby Center has 1.5T and 3T state of the art scanners equipped with
parallel imaging capabilities and high-end (4.5 and 8 G/cm whole-body)
gradients and is to be extended with a wide-bore 7T scanner, where important
benefits such as higher signal to noise and better signal dispersion for MR
spectroscopy are expected. CIS has an IBM supercomputer that is part of a
national supercomputing infrastructure. Our Resource combines a strong technical environment with unique expertise of the collaborators especially valuable for studies in children, the elderly, and subjects with neurological and psychiatric disorders. This is reflected in the technical research and development (TRD) projects that focus on reducing the need for compliance in difficult populations (the very young, the elderly, and the mentally impaired) and on multi-modality assessment of tissue changes, and apparent alterations in brain activation and/or pathology, when the brain is changing size during development. As our human scanners are at the predominant magnetic field strengths for anatomical and functional neuroimaging today and in the near future, and because we are part of a large computing infrastructure, our new acquisition and processing technologies can be disseminated effectively to other research centers and hospitals.
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