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Multi-Shell Diffusion MRI Measures of Brain Aging: A Preliminary Comparison From ADNI3

Authors :
Artemis Zavaliangos-Petropulu
Sophia I. Thomopoulos
Matt A. Bernstein
Robert I. Reid
Talia M. Nir
Julio E. Villalon-Reina
Paul M. Thompson
Neda Jahanshad
Michael W. Weiner
Clifford R. Jack
Emily L. Dennis
Bret J. Borowski
Source :
ISBI
Publication Year :
2019
Publisher :
IEEE, 2019.

Abstract

The Alzheimer’s Disease Neuroimaging Initiative (phase 3; ADNI3) is collecting multisite diffusion MRI (dMRI) data using protocols optimized for different scanner vendors, including one multi-shell protocol, to better understand disease effects. Here, we analyzed multi-shell scans from 56 ADNI3 participants (age: $74.3 \pm 7.5$ yrs; 17F/49M). We evaluated whether multi-shell dMRI measures computed from neurite orientation dispersion and density imaging (NODDI) and diffusion kurtosis imaging (DKI) differentiated people with mild cognitive impairment from healthy controls with higher sensitivity than standard diffusion tensor imaging (DTI) measures. We also assessed the effects of various multi-shell derived dMRI samples on the sensitivity of DTI measures. While we did not identify large differences in effect sizes among tensor-based, NODDI, or DKI measures, we did detect greater effect sizes from DTI measures estimated using multi-shell data converted to single-shell HARDI compared to those fit using the subset of $48 b=1000s /$mm $^{2}$ volumes, typical of DTI.

Details

Database :
OpenAIRE
Journal :
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)
Accession number :
edsair.doi...........d3dfd6e32c3e06a0c8fc07b17ae6bff9
Full Text :
https://doi.org/10.1109/isbi.2019.8759486