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Abstract #3227

A Flexible Physics-Based Digital Phantom for Functional Lung MRI Validation

Sarah H. Needleman1, Jamie R. McClelland2, Björn Eiben2, and Geoff J. M. Parker1,3
1Centre for Medical Image Computing, Quantitative Imaging Group, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 2Centre for Medical Image Computing, Radiotherapy Image Computing Group, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 3Bioxydyn Limited, Manchester, United Kingdom

We describe a flexible framework incorporating an anatomically realistic digital thorax phantom with physics-based simulation, respiratory motion and functional contrasts. We demonstrate the framework in the context of dynamic oxygen-enhanced MRI (OE-MRI).

The framework is designed to provide ground-truth for assessment of novel scan protocols and analysis methods, of utility for OE-MRI as derived lung function measures are limited in accuracy due to motion artefacts, blurring and poor signal-to-noise ratio. The framework was applied to a 2D inversion-prepared spoiled gradient echo dynamic OE-MRI readout. The simulated series displayed respiratory motion; quantitative measures describing hyperoxia-induced contrast enhancement agreed with experimental literature.

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