Next-generation MRI scanner designed for ultra-high-resolution human brain imaging at 7 Tesla
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Published:2023-11-27
Issue:12
Volume:20
Page:2048-2057
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ISSN:1548-7091
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Container-title:Nature Methods
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language:en
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Short-container-title:Nat Methods
Author:
Feinberg David A.ORCID, Beckett Alexander J. S.ORCID, Vu An T., Stockmann Jason, Huber Laurentius, Ma SamanthaORCID, Ahn Sinyeob, Setsompop Kawin, Cao Xiaozhi, Park Suhyung, Liu Chunlei, Wald Lawrence L., Polimeni Jonathan R., Mareyam Azma, Gruber BernhardORCID, Stirnberg RüdigerORCID, Liao Congyu, Yacoub Essa, Davids Mathias, Bell Paul, Rummert Elmar, Koehler Michael, Potthast Andreas, Gonzalez-Insua Ignacio, Stocker Stefan, Gunamony Shajan, Dietz Peter
Abstract
AbstractTo 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−1s−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 routinely performs functional imaging studies at 0.35–0.45 mm isotropic spatial resolution to reveal cortical layer functional activity, achieves high angular resolution in diffusion imaging and reduces acquisition time for both functional and structural imaging.
Funder
U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering U.S. Department of Health & Human Services | NIH | National Institute of Mental Health National Research Foundation of Korea
Publisher
Springer Science and Business Media LLC
Subject
Cell Biology,Molecular Biology,Biochemistry,Biotechnology
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