Abstract #3294

Measurement of intra- and extra-neurite perfusion by combining ASL with the NODDI DWI model

Iris Asllani^1,2, Alicia Plaindoux³, Jan Petr⁴, Joseph G. Woods^5,6, Matthias J. P. van Osch⁷, and Mara Cercignani¹

¹Neuroscience, University of Sussex, Brighton, United Kingdom, ²Biomedical Engineering, Rochester Institute of Technology, Rochester, NY, United States, ³Grenoble Institute of Technology, Grenoble, France, ⁴Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany, ⁵University of California San Diego, San Diego, CA, United States, ⁶University of Oxford, Oxford, United Kingdom, ⁷Leiden University Medical Center, Leiden, Netherlands

Intra- and extra-neurite perfusion in gray and white matter were estimated by applying a spatial linear regression algorithm on ASL images using the micro-structural anatomical information derived from the NODDI analysis of the DWI data. Baseline ASL images were acquired with 4 post-labeling delay (PLD) values in order to test the hypothesis of redistribution of ASL signal across the micro-compartments with increasing PLD. Motor activation was used to investigate the sensitivity of the method for detecting changes in perfusion at the micro-structural level.

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