Next-generation MRI scanner designed for ultra-high-resolution human brain imaging at 7 Tesla.

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

Nature methods(2023)

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摘要
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-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.
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