Reliability in multi-site structural MRI studies: Effects of gradient non-linearity correction on phantom and human data

Jorge Jovicich, Silvester Czanner, Douglas Greve, Elizabeth Haley, Andre Van Der Kouwe, Randy Gollub, David Kennedy, Franz Schmitt, Gregory Brown, James MacFall, Bruce Fischl, Anders Dale

Research output: Contribution to journalArticle

Abstract

Longitudinal and multi-site clinical studies create the imperative to characterize and correct technological sources of variance that limit image reproducibility in high-resolution structural MRI studies, thus facilitating precise, quantitative, platform-independent, multi-site evaluation. In this work, we investigated the effects that imaging gradient non-linearity have on reproducibility of multi-site human MRI. We applied an image distortion correction method based on spherical harmonics description of the gradients and verified the accuracy of the method using phantom data. The correction method was then applied to the brain image data from a group of subjects scanned twice at multiple sites having different 1.5 T platforms. Within-site and across-site variability of the image data was assessed by evaluating voxel-based image intensity reproducibility. The image intensity reproducibility of the human brain data was significantly improved with distortion correction, suggesting that this method may offer improved reproducibility in morphometry studies. We provide the source code for the gradient distortion algorithm together with the phantom data.

Original languageEnglish
Pages (from-to)436-443
Number of pages8
JournalNeuroImage
Volume30
Issue number2
DOIs
Publication statusPublished - Apr 1 2006

Keywords

  • Gradient non-linearity distortions
  • Human structural MRI
  • Multi-site calibration

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Neurology

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    Jovicich, J., Czanner, S., Greve, D., Haley, E., Van Der Kouwe, A., Gollub, R., Kennedy, D., Schmitt, F., Brown, G., MacFall, J., Fischl, B., & Dale, A. (2006). Reliability in multi-site structural MRI studies: Effects of gradient non-linearity correction on phantom and human data. NeuroImage, 30(2), 436-443. https://doi.org/10.1016/j.neuroimage.2005.09.046