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Abstract #1964

Robust Assessment of the Sensitivity of DCE-MRI Parameterisation to Breathing Motion

Anita Banerji1, 2, Alexandra Morgan1, 2, Yvonne Watson1, 2, Giovanni A. Buonaccorsi1, 2, Geoff J M Parker1, 2

1Imaging Sciences, University of Manchester, Manchester Academic Health Science Centre,, Manchester, United Kingdom; 2Biomedical Imaging Institute, Manchester, United Kingdom

Voxel wise fitting of the extended Kety model to DCE-MRI data allows estimation of a median Ktrans value for a tumour. However, the estimation of Ktrans for liver tumours is likely to be effected by respiratory motion. Using synthetic data with motion based on biomechanical modelling we have assessed the robustness of model fitting to motion and the benefit of using a model-driven registration. We have found that median Ktrans values are largely insensitive to motion and that heterogeneity measures are likely to benefit from translation only registration. However, more complex registrations should be used with caution.