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Proceedings Paper

Comparison of template registration methods for multi-site meta-analysis of brain morphometry
Author(s): Joshua Faskowitz; Greig I. de Zubicaray; Katie L. McMahon; Margaret J. Wright; Paul M. Thompson; Neda Jahanshad
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Paper Abstract

Neuroimaging consortia such as ENIGMA can significantly improve power to discover factors that affect the human brain by pooling statistical inferences across cohorts to draw generalized conclusions from populations around the world. Voxelwise analyses such as tensor-based morphometry also allow an unbiased search for effects throughout the brain. Even so, such consortium-based analyses are limited by a lack of high-powered methods to harmonize voxelwise information across study populations and scanners. While the simplest approach may be to map all images to a single standard space, the benefits of cohort-specific templates have long been established. Here we studied methods to pool voxel-wise data across sites using templates customized for each cohort but providing a meaningful common space across all studies for voxelwise comparisons. As non-linear 3D MRI registrations represent mappings between images at millimeter resolution, we need to consider the reliability of these mappings. To evaluate these mappings, we calculated test-retest statistics on the volumetric maps of expansion and contraction. Further, we created study-specific brain templates for ten T1-weighted MRI datasets, and a common space from four study-specific templates. We evaluated the efficacy of using a two-step registration framework versus a single standard space. We found that the two-step framework more reliably mapped subjects to a common space.

Paper Details

Date Published: 29 March 2016
PDF: 14 pages
Proc. SPIE 9788, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, 978822 (29 March 2016); doi: 10.1117/12.2217370
Show Author Affiliations
Joshua Faskowitz, Keck School of Medicine, Univ. of Southern California (United States)
Greig I. de Zubicaray, Queensland Univ. of Technology (Australia)
Katie L. McMahon, Univ. of Queensland (Australia)
Margaret J. Wright, Queensland Brain Institute, Univ. of Queensland (Australia)
Paul M. Thompson, Keck School of Medicine, Univ. of Southern California (United States)
Neda Jahanshad, Keck School of Medicine, Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 9788:
Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging
Barjor Gimi; Andrzej Krol, Editor(s)

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