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Abstract #4945

Combined estimation of dispersion and macrovascular signal in multi-PLD pCASL data using a two-component model

Merlijn C.E. van der Plas1, Michael Chappell2,3, and Matthias J.P. van Osch1

1C.J.Gorter Center for high field MRI, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 2Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 3Institute of Biomedical Engineering, Research Council UK (EP/P012361/1), University of Oxford, Oxford, United Kingdom

In pCASL a well-defined, box-shaped bolus is created at the labeling plane and for quantification this shape is assumed to be preserved, however, in reality this shape will be dispersed. With multi-timepoint data, the effects of dispersion can be observed in the macrovascular component, which can be separated from the tissue component using a two-component model. In this study the combined estimation of dispersion and macrovascular signal was investigated. When a gamma distribution dispersion kernel was incorporated into the two-component model, a significant decrease in CBF values was found, while a significant increase in macrovascular signal was observed.

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