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Abstract #2717

An improved arterial model for QUASAR ASL that permits estimation of arterial flow speed

Marco Castellaro 1 , Esben Thade Petersen 2 , Xavier Golay 3 , Alessandra Bertoldo 1 , and Michael A Chappell 4

1 Department of Information Engineering, University of Padova, Padova, PD, Italy, 2 Departments of Radiology and Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands, 3 Institute of Neurology, University College London, London, United Kingdom, 4 Institute of Biomedical Engineering, University of Oxford, Oxford, Oxford, United Kingdom

QUASAR is an established sequence for the study of perfusion that uses arterial spin labelling principles. It exploits the use of a vascular crushing gradient to extract signals from blood both in arteries and in tissue. Model-free and model-based approaches have been proposed to estimate perfusion and other parameters of interest. In this work a more realistic relationship between the crushing gradients and the blood flow is introduced based on the principles of perfusion tensor imaging. It is able to provide quantification of flow speed in arteries exploiting information already present in the data, which might be valuable in pathologies.

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