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Abstract #3614

Onset Estimation for Dual Input DCE-MRI Liver Data : Information Criteria Used to Determine Statistical Optimality of Global or Pixel-Wise Onset Estimation

Matthew R. Orton1, Keiko Miyazaki1, Dow-Mu Koh2, David J. Collins1, David Atkinson3, David J. Hawkes3, Martin O. Leach1

1Clinical Magentic Resonance Research Group, Institute of Cancer Research, Sutton, Surrey, UK; 2Academic Department of Radiology, Royal Marsden Hospital, Sutton, Surrey, UK; 3Centre for Medical Image Computing, Univeristy College London, London, UK

The onset time of contrast enhancement is typically estimated pixel-wise when analysing DCE-MRI data. We have developed an algorithm for estimating the onset time as a single global parameter, which has the benefit of reducing the variability in such estimates. This is particularly beneficial when a dual-input liver model is used as the arterial-portal fraction is highly correlated with the onset time. Statistical information criteria are used to determine whether global or pixel-wise onset estimation is optimal when applied to data acquired from patients with liver metastases. This analysis suggests that in this case global estimation is optimal.