Abstract #1048

A systematic comparative study of DTI and higher order diffusion models in brain fixed tissue

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.

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