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.