Next-generation MRI scanner designed for ultra-high-resolution human brain imaging at 7 Tesla
Allen Institute for Brain Science · Advanced MRI Technologies (United States) · +19 more institutions
Abstract
Abstract To increase granularity in human neuroimaging science, we designed and built a next-generation 7 Tesla magnetic resonance imaging scanner to reach ultra-high resolution by implementing several advances in hardware. To improve spatial encoding and increase the image signal-to-noise ratio, we developed a head-only asymmetric gradient coil (200 mT m −1 , 900 T m −1 s −1 ) with an additional third layer of windings. We integrated a 128-channel receiver system with 64- and 96-channel receiver coil arrays to boost signal in the cerebral cortex while reducing g-factor noise to enable higher accelerations. A 16-channel transmit system reduced power deposition and improved image uniformity. The scanner…
Citation impact
- FWCI
- 39.64
- Percentile
- 100%
- References
- 75
Authors
27- DADavid A. FeinbergCorresponding
Allen Institute for Brain Science, Advanced MRI Technologies (United States), Imaging Center, University of California, Berkeley
- ABAlexander Beckett
Imaging Center, University of California, Berkeley
- ATAn T. Vu
University of California, San Francisco, San Francisco VA Health Care System
- JSJason Stockmann
Massachusetts General Hospital, Harvard–MIT Division of Health Sciences and Technology, Athinoula A. Martinos Center for Biomedical Imaging
- LHLaurentius Huber
Maastricht University
Topics & keywords
- Scanner
- Human brain
- Neuroimaging
- Magnetic resonance imaging
- High resolution
- Nuclear magnetic resonance
- Computer science
- Physics
- Affordable and clean energy