Correction of Bolus Dispersion in the quantification of perfusion and haemodynamics using DSC-MRI
Amit Mehndiratta 1 , Fernando Calamante 2 , Bradley J MacIntosh 3 , David E Crane 3 , Stephen J Payne 1 , and Michael A Chappell 1
Institute of Biomedical Engineering,
University of Oxford, Oxford, Oxfordshire, United
Institute of Neuroscience and Mental Health, Heidelberg,
Biophysics, Sunnybrook Research Institute, University of
Toronto, Toronto, ON, Canada
Bolus dispersion can be a significant source of error in
estimation of both perfusion and tissue residue function
in DSC-MRI. In this study the recently proposed
non-parametric CPI method was extended with
dispersion-kernel (DK) to address dispersion effects.
Three DKs were evaluated to identify the appropriate
model for dispersion in-vivo. The performance of the
proposed approach was assessed using simulations.
In-vivo data from a patient with arteriosclerotic
disease was also analysed. Addition of a DK in perfusion
analysis was found to be useful both in simulations and
in-vivo, but with no consistent benefit of one DK over
other was observed.
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