Elizabeth B Hutchinson1, Alexandru Avram1, Michal Komlosh1, M Okan Irfanoglu1, Alan Barnett1, Evren Ozarslan2, Susan Schwerin3, Kryslaine Radomski3, Sharon Juliano3, and Carlo Pierpaoli1
1SQITS, NICHD/NIH, Bethesda, MD, United States, 2Bogazici University, Istanbul, Turkey, 3APG, USUHS, Bethesda, MD, United States
We have systematically compared four diffusion MRI models –
DTI, DKI, MAP-MRI and NODDI – in the same DWI data sets for fixed brain tissue
to identify the relative strengths of these approaches and characterize the
effects of experimental design and image quality on the generated metrics. Metric-specific advantages in sensitivity and
specificity were shown as well as differential vulnerability across the metrics
to DWI sampling scheme and noise. The
intention of this work is to provide an integrative view of diffusion metrics
that contributes to their utility in brain research.
