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

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

in 631/1647/245/1627 / 631/1647/245/1628 / 631/378 / Angular resolution / Arrays / Bioinformatics / Biological Microscopy / Biological Techniques / Biomedical and Life Sciences / Biomedical Engineering/Biotechnology / Brain / Brain - diagnostic imaging / Brain - pathology / Cerebral cortex / Coils (windings) / Cooling / Design / Diffusion layers / Hardware / Head / High resolution / Humans / Image resolution / Life Sciences / Magnetic resonance imaging / Magnetic Resonance Imaging - methods / Medical imaging / Neuroimaging / Neurosciences / Noise reduction / Proteomics / Scanners / Signal to noise ratio / Spatial discrimination / Spatial resolution / Structure-function relationships

2023

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

2023

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

2023

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Journal Article

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

Vu, An T.,

Stirnberg, Rüdiger,

Liao, Congyu,

Stockmann, Jason,

Gunamony, Shajan,

Mareyam, Azma,

Feinberg, David A.,

Park, Suhyung,

Cao, Xiaozhi,

Huber, Laurentius,

Potthast, Andreas,

Dietz, Peter,

Ma, Samantha,

Liu, Chunlei,

Rummert, Elmar,

Davids, Mathias,

Polimeni, Jonathan R.,

Beckett, Alexander J. S.,

Ahn, Sinyeob,

Gonzalez-Insua, Ignacio,

Yacoub, Essa,

Bell, Paul,

Koehler, Michael,

Wald, Lawrence L.,

Gruber, Bernhard,

Stocker, Stefan,

Setsompop, Kawin

2023

Overview

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 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. A combination of hardware developments has increased the achievable spatial resolution in 7 Tesla human neuroimaging to about 0.4 mm.

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Publisher

Nature Publishing Group US,Nature Publishing Group

Subject

/ 631/378

/ Arrays

/ Biological Microscopy