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Abstract #3294

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

Iris Asllani1,2, Alicia Plaindoux3, Jan Petr4, Joseph G. Woods5,6, 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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