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Diffusion tensor imaging using multiple coils for mouse brain connectomics.

Publication ,  Journal Article
Nouls, JC; Badea, A; Anderson, RBJ; Cofer, GP; Allan Johnson, G
Published in: NMR Biomed
June 2018

The correlation between brain connectivity and psychiatric or neurological diseases has intensified efforts to develop brain connectivity mapping techniques on mouse models of human disease. The neural architecture of mouse brain specimens can be shown non-destructively and three-dimensionally by diffusion tensor imaging, which enables tractography, the establishment of a connectivity matrix and connectomics. However, experiments on cohorts of animals can be prohibitively long. To improve throughput in a 7-T preclinical scanner, we present a novel two-coil system in which each coil is shielded, placed off-isocenter along the axis of the magnet and connected to a receiver circuit of the scanner. Preservation of the quality factor of each coil is essential to signal-to-noise ratio (SNR) performance and throughput, because mouse brain specimen imaging at 7 T takes place in the coil-dominated noise regime. In that regime, we show a shielding configuration causing no SNR degradation in the two-coil system. To acquire data from several coils simultaneously, the coils are placed in the magnet bore, around the isocenter, in which gradient field distortions can bias diffusion tensor imaging metrics, affect tractography and contaminate measurements of the connectivity matrix. We quantified the experimental alterations in fractional anisotropy and eigenvector direction occurring in each coil. We showed that, when the coils were placed 12 mm away from the isocenter, measurements of the brain connectivity matrix appeared to be minimally altered by gradient field distortions. Simultaneous measurements on two mouse brain specimens demonstrated a full doubling of the diffusion tensor imaging throughput in practice. Each coil produced images devoid of shading or artifact. To further improve the throughput of mouse brain connectomics, we suggested a future expansion of the system to four coils. To better understand acceptable trade-offs between imaging throughput and connectivity matrix integrity, studies may seek to clarify how measurement variability, post-processing techniques and biological variability impact mouse brain connectomics.

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Published In

NMR Biomed

DOI

EISSN

1099-1492

Publication Date

June 2018

Volume

31

Issue

6

Start / End Page

e3921

Location

England

Related Subject Headings

  • Signal-To-Noise Ratio
  • Nuclear Medicine & Medical Imaging
  • Mice
  • Imaging, Three-Dimensional
  • Diffusion Tensor Imaging
  • Connectome
  • Brain
  • Animals
  • 4003 Biomedical engineering
  • 3202 Clinical sciences
 

Citation

APA
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ICMJE
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Nouls, J. C., Badea, A., Anderson, R. B. J., Cofer, G. P., & Allan Johnson, G. (2018). Diffusion tensor imaging using multiple coils for mouse brain connectomics. NMR Biomed, 31(6), e3921. https://doi.org/10.1002/nbm.3921
Nouls, John C., Alexandra Badea, Robert B. J. Anderson, Gary P. Cofer, and G. Allan Johnson. “Diffusion tensor imaging using multiple coils for mouse brain connectomics.NMR Biomed 31, no. 6 (June 2018): e3921. https://doi.org/10.1002/nbm.3921.
Nouls JC, Badea A, Anderson RBJ, Cofer GP, Allan Johnson G. Diffusion tensor imaging using multiple coils for mouse brain connectomics. NMR Biomed. 2018 Jun;31(6):e3921.
Nouls, John C., et al. “Diffusion tensor imaging using multiple coils for mouse brain connectomics.NMR Biomed, vol. 31, no. 6, June 2018, p. e3921. Pubmed, doi:10.1002/nbm.3921.
Nouls JC, Badea A, Anderson RBJ, Cofer GP, Allan Johnson G. Diffusion tensor imaging using multiple coils for mouse brain connectomics. NMR Biomed. 2018 Jun;31(6):e3921.
Journal cover image

Published In

NMR Biomed

DOI

EISSN

1099-1492

Publication Date

June 2018

Volume

31

Issue

6

Start / End Page

e3921

Location

England

Related Subject Headings

  • Signal-To-Noise Ratio
  • Nuclear Medicine & Medical Imaging
  • Mice
  • Imaging, Three-Dimensional
  • Diffusion Tensor Imaging
  • Connectome
  • Brain
  • Animals
  • 4003 Biomedical engineering
  • 3202 Clinical sciences