338
Views
6
CrossRef citations to date
0
Altmetric
Articles

Assessment of quantitative magnetic resonance imaging metrics in the brain through the use of a novel phantom

ORCID Icon, , ORCID Icon, , , , , , & show all
Pages 1265-1275 | Received 06 Feb 2018, Accepted 26 Jun 2018, Published online: 31 Aug 2018
 

ABSTRACT

Objective: Multisite and longitudinal neuroimaging studies are important in uncovering trajectories of recovery and neurodegeneration following traumatic brain injury (TBI) and concussion through the use of diffusion tensor imaging (DTI) and other imaging modalities. This study assessed differences in anisotropic diffusion measurement across four scanners using a human and a novel phantom developed in conjunction with the Chronic Effects of Neurotrauma Consortium.

Method: Human scans provided measurement within biological tissue, and the novel physical phantom provided measures of anisotropic intra-tubular diffusion to serve as a model for intra-axonal water diffusion. Intra- and inter-scanner measurement variances were compared, and the impact on effect size was calculated.

Results: Intra-scanner test–retest reliability estimates for fractional anisotropy (FA) demonstrated relative stability over testing intervals. The human tissue and phantom showed similar FA ranges, high linearity and large within-device effect sizes. However, inter-scanner measures of FA indicated substantial differences, some of which exceeded typical DTI effect sizes in mild TBI.

Conclusion: The diffusion phantom may be used to better elucidate inter-scanner variability in DTI-based measurement and provides an opportunity to better calibrate results obtained from scanners used in multisite and longitudinal studies. Novel solutions are being evaluated to understand and potentially overcome these differences.

Acknowledgements

We wish to acknowledge the assistance of Emily Clarke and Rhonda O’Donovan in manuscript preparation and organization of the study. Additionally, we wish to acknowledge additional members of the CENC Neuroimaging Core including: Erin D. Bigler, PhD, Carmen Velez, Jennifer Nathan, M.D., Typhani Morales, Rajan Agarwal, M.D., Michael Lennon, M.D., Aaron M. Betts, M.D., Marice Brown, Joel L. Steinberg, M.D. and Robert Cadrain.

Declaration of interest

This work was supported by grant funding from: Department of Defense, Chronic Effects of Neurotrauma Consortium (CENC) Award W81XWH-13-2-0095 and Department of Veterans Affairs CENC Award I01 CX001135. Funding also comes from the Naval Health Research Center (W911QY-15-C-0043). The views, opinions and/or findings contained in this article are those of the authors and should not be construed as an official Veterans Affairs or Department of Defense position, policy or decision, unless so designated by other official documentation. Drs Wilde, Provenzale, Taylor, Boss, Hachey, Pathak, Tate and Mr Abildskov have nothing to disclose. Mr Zuccolotto and Dr Schneider are associated with the Phantom Metrics Division of Psychology Software Tools Inc., the company that manufactures and distributes the phantom described in this study.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 727.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.