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Abstract #1075

Model Fitting of Spatially Smoothed DCE-CT & DCE-MRI Data in Bladder Tumours

Penny Louise Hubbard1,2, Josephine H. Naish1,2, Caleb Roberts1,2, Yvonne Watson1,2, Karen Davies1,2, John C. Waterton1,3, Helen Young3, John P. Logue4, M. Ben Taylor4, Geoff J. M. Parker1,2

1Imaging Sciences & Biomedical Engineering, The University of Manchester, Manchester, United Kingdom; 2The Biomedical Imaging Institute, The University of Manchester, Manchester, United Kingdom; 3AstraZeneca R & D, Alderley Park, Macclesfield, Cheshire, United Kingdom; 4Christie Hospital, Manchester, United Kingdom

The aims of this study were: 1) to assess the statistical justification for fitting complex time series models over simpler kinetic models (e.g. AATH versus extended Kety model) to DCE-MRI and DCE-CT data; and 2) to determine if spatial smoothing of DCE-MRI and DCE-CT data improves the robustness of AATH model fitting. Simple smoothing was not sufficient to allow the AATH model to be fit to the DCE-CT reliably. Smoothing of DCE-MRI data leads to a higher probability that the AATH model is effective in describing the data, when compared with the extended Kety, for a similar effective voxel size.