@inproceedings{729a5186e4ae499bb272b5df3956f10d,
title = "Understanding scanner upgrade effects on brain integrity & connectivity measures",
abstract = "Large multi-site studies, such as the Alzheimer's disease Neuroimaging Initiative (ADNI) are designed to harmonize imaging protocols as far as possible across scanning sites. ADNI-2 collects diffusion-weighted images (DWI) at 14 sites, with a consistent scanner manufacturer (General Electric), magnetic field strength (3T) and consistent acquisition parameters - including voxel size and the number of gradient directions. Here we studied how the SNR, voxel-wise and ROI-based diffusion measures, and derived connectivity matrices and network properties depended on the scanner platform (with {"}HD{"} denoting version 16.x software and lower and DV being 20.x and higher). We found scanner platform effects on voxel-based FA, in several ROIs, but not on SNR or network properties. These results indicate the importance of accounting for any differences in scanner platform in multi-site DTI studies, even when the protocols are harmonized in all other respects.",
keywords = "Anisotropy, Brain network, Connectivity, Diffusion MRI, SNR, Scanner",
author = "L. Zhan and N. Jahanshad and Y. Jin and Nir, {T. M.} and Leonardo, {C. D.} and Bernstein, {M. A.} and B. Borowski and Jack, {Clifford R.} and Thompson, {P. M.}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 ; Conference date: 29-04-2014 Through 02-05-2014",
year = "2014",
month = jul,
day = "29",
language = "English (US)",
series = "2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "234--237",
booktitle = "2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014",
}