TY - GEN
T1 - Evaluation of diffusion imaging protocols for the Alzheimer's disease neuroimaging initiative
AU - Zhan, L.
AU - Bernstein, M. A.
AU - Borowski, B.
AU - Jack, Clifford R.
AU - Thompson, P. M.
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/7/29
Y1 - 2014/7/29
N2 - Diffusion-weighted imaging (DWI) provides information on brain integrity and connectivity, based on mapping the directional diffusion of water along the brain's neural pathways. The latest stage of the Alzheimer's Disease Neuroimaging Initiative, ADNI-2, added a 9-minute 41-gradient DWI protocol. To study the potential benefits of adjusting the number of diffusion-weighted gradients, here we scanned 3 young adults with the ADNI DWI protocol and 3 variants reducing the voxel size, increasing the repetition time (TR), and increasing the number of diffusion-weighted directions. In a small pilot evaluation, we compared the signal-to-noise ratio (SNR) of diffusion tensor-derived fractional anisotropy (FA), as well as three standard graph theory measures, to assess protocol effects on anatomical network efficiency, clustering and modularity. The protocol with smaller voxels gave rise to more detected fibers in whole-brain tractography, but no protocol advantages were detectable in the small sample; all gave comparable FA SNR, connectivity and network measures.
AB - Diffusion-weighted imaging (DWI) provides information on brain integrity and connectivity, based on mapping the directional diffusion of water along the brain's neural pathways. The latest stage of the Alzheimer's Disease Neuroimaging Initiative, ADNI-2, added a 9-minute 41-gradient DWI protocol. To study the potential benefits of adjusting the number of diffusion-weighted gradients, here we scanned 3 young adults with the ADNI DWI protocol and 3 variants reducing the voxel size, increasing the repetition time (TR), and increasing the number of diffusion-weighted directions. In a small pilot evaluation, we compared the signal-to-noise ratio (SNR) of diffusion tensor-derived fractional anisotropy (FA), as well as three standard graph theory measures, to assess protocol effects on anatomical network efficiency, clustering and modularity. The protocol with smaller voxels gave rise to more detected fibers in whole-brain tractography, but no protocol advantages were detectable in the small sample; all gave comparable FA SNR, connectivity and network measures.
KW - Anisotropy
KW - Brain network
KW - Connectivity
KW - Diffusion MRI
KW - Protocol
KW - SNR
UR - http://www.scopus.com/inward/record.url?scp=84927945344&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84927945344&partnerID=8YFLogxK
U2 - 10.1109/isbi.2014.6867969
DO - 10.1109/isbi.2014.6867969
M3 - Conference contribution
AN - SCOPUS:84927945344
T3 - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
SP - 710
EP - 713
BT - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
Y2 - 29 April 2014 through 2 May 2014
ER -