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  • Feinberg, David A; Beckett, Alexander J S; Vu, An T; Stockmann, Jason; Huber, Laurentius; Ma, Samantha; Ahn, Sinyeob; Setsompop, Kawin; Cao, Xiaozhi; Park, Suhyung; Liu, Chunlei; Wald, Lawrence L; Polimeni, Jonathan R; Mareyam, Azma; Gruber, Bernhard; Stirnberg, Rüdiger; Liao, Congyu; Yacoub, Essa; Davids, Mathias; Bell, Paul; Rummert, Elmar; Koehler, Michael; Potthast, Andreas; Gonzalez-Insua, Ignacio; Stocker, Stefan; Gunamony, Shajan; Dietz, Peter

    Nature methods, 12/2023, Letnik: 20, Številka: 12
    Journal Article

    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 , 900 T m s ) 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.