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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