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Abstract #0562

Design and Development of a Next-Generation 7T human brain scanner with high-performance gradient coil and dense RF arrays.

David A Feinberg1,2,3, Peter Dietz4, Chunlei Liu1,5, Kawin Setsompop6, Pratik Mukherjee7,8, Lawrence L Wald9,10,11, An T Vu7,8, Alexander JS Beckett1,2, Ignacio Gonzalez Insua4, Martin Schröder4, Stefan Stocker4, Paul H Bell12, Elmar Rummert4, and Mathias Davids9,10,13
1Helen Wills Neuroscience Institute, University of California, Berkeley, CA, United States, 2Advanced MRI Technologies, Sebastopol, CA, United States, 3Department of Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands, 4Siemens Healthcare GmbH, Erlangen, Germany, 5Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, United States, 6Radiological Sciences Laboratory, Stanford University, Stanford, CA, United States, 7Radiology, University of California, San Francisco, CA, United States, 8San Francisco Veteran Affairs Health Care System, San Francisco, CA, United States, 9A.A. Martinos Center for Biomedical Imaging, Dept. of Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 10Harvard Medical School, Boston, MA, United States, 11Harvard-MIT Division of Health Sciences Technology, Cambridge, MA, United States, 12Siemens Medical Solutions USA, Inc, Cary, NC, United States, 13Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany

A Next-Generation 7T MRI scanner was designed to achieve higher performance in human brain imaging for the NIH BRAIN Initiative. The new 7T scanner introduces several innovative hardware designs including a PNS optimized asymmetric head gradient coil (Siemens Healthcare, Erlangen, Germany) with Gmax 200mT/m and Smax 900T/m/s. The scanner also includes 128-channel RF receiver and 16-channel transmit systems for all-in-one cumulative gains in performance. The resulting higher spatial resolution, sensitivity and image acceleration will enable in-vivo whole-brain mesoscale research on cortical layer and columnar circuitry and other brain structures.

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