Abstract #2732
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
1
Institute of Biomedical Engineering,
University of Oxford, Oxford, Oxfordshire, United
Kingdom,
2
Florey
Institute of Neuroscience and Mental Health, Heidelberg,
Victoria, Australia,
3
Medical
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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