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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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