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

doi:10.1038/s41592-023-02068-7

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

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

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.

Original language	English
Pages (from-to)	2048–2057
Number of pages	10
Journal	Nature Methods
Volume	20
Issue number	12
Early online date	27 Nov 2023
DOIs	https://doi.org/10.1038/s41592-023-02068-7
Publication status	Published - Dec 2023

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Feinberg, D. A., Beckett, A. J. S., Vu, A. T., Stockmann, J., Huber, L., Ma, S., Ahn, S., Setsompop, K., Cao, X., Park, S., Liu, C., Wald, L. L., Polimeni, J. R., Mareyam, A., Gruber, B., Stirnberg, R., Liao, C., Yacoub, E., Davids, M., ... Dietz, P. (2023). Next-generation MRI scanner designed for ultra-high-resolution human brain imaging at 7 Tesla. Nature Methods, 20(12), 2048–2057. https://doi.org/10.1038/s41592-023-02068-7

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

abstract = "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.",

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

year = "2023",

month = dec,

doi = "10.1038/s41592-023-02068-7",

language = "English",

volume = "20",

pages = "2048–2057",

journal = "Nature Methods",

issn = "1548-7091",

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Feinberg, DA, Beckett, AJS, Vu, AT, Stockmann, J, Huber, L, Ma, S, Ahn, S, Setsompop, K, Cao, X, Park, S, Liu, C, Wald, LL, Polimeni, JR, Mareyam, A, Gruber, B, Stirnberg, R, Liao, C, Yacoub, E, Davids, M, Bell, P, Rummert, E, Koehler, M, Potthast, A, Gonzalez-Insua, I, Stocker, S, Gunamony, S & Dietz, P 2023, 'Next-generation MRI scanner designed for ultra-high-resolution human brain imaging at 7 Tesla', Nature Methods, vol. 20, no. 12, pp. 2048–2057. https://doi.org/10.1038/s41592-023-02068-7

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AU - Feinberg, David A

AU - Beckett, Alexander J S

AU - Vu, An T

AU - Stockmann, Jason

AU - Huber, Laurentius

AU - Ma, Samantha

AU - Ahn, Sinyeob

AU - Setsompop, Kawin

AU - Cao, Xiaozhi

AU - Park, Suhyung

AU - Liu, Chunlei

AU - Wald, Lawrence L

AU - Polimeni, Jonathan R

AU - Mareyam, Azma

AU - Gruber, Bernhard

AU - Stirnberg, Rüdiger

AU - Liao, Congyu

AU - Yacoub, Essa

AU - Davids, Mathias

AU - Bell, Paul

AU - Rummert, Elmar

AU - Koehler, Michael

AU - Potthast, Andreas

AU - Gonzalez-Insua, Ignacio

AU - Stocker, Stefan

AU - Gunamony, Shajan

AU - Dietz, Peter

PY - 2023/12

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N2 - 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.

AB - 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.

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DO - 10.1038/s41592-023-02068-7

M3 - Article

SN - 1548-7091

VL - 20

SP - 2048

EP - 2057

JO - Nature Methods

JF - Nature Methods

IS - 12

ER -

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

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