- Feinberg, David;
- Beckett, Alexander;
- Vu, An;
- Stockmann, Jason;
- Huber, Laurentius;
- Ma, Samantha;
- Ahn, Sinyeob;
- Setsompop, Kawin;
- Cao, Xiaozhi;
- Park, Suhyung;
- Wald, Lawrence;
- Polimeni, Jonathan;
- 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;
- Liu, Chunlei
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.