Abstract #3547
Population-based parameterization of the oxygen input function (OIF) for dynamic oxygen-enhanced MRI
Jose L Ulloa 1,2 , Weijuan Zhang 2 , Josephine Naish 2 , Alexandra R Morgan 1,2 , and Geoffrey JM Parker 1,2
1
Bioxydyn Ltd, Manchester, United Kingdom,
2
Centre
for Imaging Sciences, University of Manchester,
Manchester, United Kingdom
An input function characterizing the amount of inspired
oxygen is required to allow standardized
parameterization of changes in T1 contrast due to oxygen
inhalation when performing oxygen-enhanced MRI. In this
work, we propose a functional form of an oxygen input
function (OIF) derived from inspired oxygen measured in
110 dataset using two standard disposable
non-rebreathing clinical masks. Results show that the
OIF wash-in and wash-out can be adequately described by
bi-exponential functions and a population-based OIF may
provide an adequate description of the true OIF at the
individual level.
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