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

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 develope...

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Published inNature methods Vol. 20; no. 12; pp. 2048 - 2057
Main Authors 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
Format Journal Article
LanguageEnglish
Published New York Nature Publishing Group US 01.12.2023
Nature Publishing Group
Subjects
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
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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 −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.
AbstractList 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.
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.
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.
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.A combination of hardware developments has increased the achievable spatial resolution in 7 Tesla human neuroimaging to about 0.4 mm.
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.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.
Author 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
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  organization: Center for Magnetic Resonance Research, University of Minnesota
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  surname: Davids
  fullname: Davids, Mathias
  organization: A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard-MIT Health Sciences and Technology, MIT, Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University
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  organization: Imaging Centre of Excellence, University of Glasgow, MR CoilTech Limited
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  givenname: Peter
  surname: Dietz
  fullname: Dietz, Peter
  organization: Siemens Healthcare GmbH
BackLink https://www.ncbi.nlm.nih.gov/pubmed/38012321$$D View this record in MEDLINE/PubMed
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  ident: 2068_CR5
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2007.05.020
– ident: 2068_CR54
– volume: 81
  start-page: 686
  year: 2019
  ident: 2068_CR65
  publication-title: Magn. Reson. Med.
  doi: 10.1002/mrm.27382
– volume: 55
  start-page: 1227
  year: 2006
  ident: 2068_CR40
  publication-title: Magn. Reson. Med.
  doi: 10.1002/mrm.20900
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Snippet To increase granularity in human neuroimaging science, we designed and built a next-generation 7 Tesla magnetic resonance imaging scanner to reach ultra-high...
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SubjectTerms 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
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Title Next-generation MRI scanner designed for ultra-high-resolution human brain imaging at 7 Tesla
URI https://link.springer.com/article/10.1038/s41592-023-02068-7
https://www.ncbi.nlm.nih.gov/pubmed/38012321
https://www.proquest.com/docview/2899188696
https://www.proquest.com/docview/2894725931
Volume 20
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