Buddy Glidewell, an MRI technician with East Alabama Medical Center located in Auburn, Ala., demonstrates Auburn University’s 3T MRI scanner with a colleague. The 3T scanner is the most powerful MRI certified by the FDA for clinical use.
Auburn University MRI physicist Ron Beyers, standing, and Tom Denney, director of Auburn’s MRI Research Center, demonstrate the university’s new 7T MRI scanner – one of fewer than 35 in the world. The scanner is used to conduct structural MRI scans, as well as functional MRI, providing dynamic images of how the brain works.
Auburn University’s MRI Research Center is a $21 million, 45,000-square-foot facility housing two of the most powerful clinical and research MRI scanners in the world, a Siemens 3T MRI scanner and a whole-body 7T MRI scanner.
In this 7T angiographic image of the normal human brain without use of an injected contrast agent, blood vessels in the periphery of the brain, which are difficult to see at lower magnetic field strengths, are clearly delineated.
THIS IS AUBURN.
THIS IS TECHNOLOGY.
The MRI Center houses two of the most powerful research and clinical MRI scanners in the world, and supports the discovery and application of new technologies to a broad range of medical and pharmaceutical markets. The 45,000-square-foot, state-of-the-art facility houses the first open-bore 3T scanner for clinical and research use in the East Alabama region, and one of the first actively-shielded 7T MRI scanners in the nation. It provides the next generation in MRI technology, and is creating advanced opportunities for clinical imaging, imaging research and training in areas including coil design, ergonomics, fMRI and cognitive neuroscience, communication disorders, advanced cardiac imaging, fat imaging, diabetes and obesity research, and metabolic and molecular imaging.
Using functional magnetic resonance imaging (fMRI), researchers at Auburn University are studying brain architecture of patients with Post-Concussion Syndrome (PCS).
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Researchers at Auburn are using 3T MRI scans to study the relationship between lower back geometry and traits such as height, weight, gender and age. See more >>
