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Abstract #2239

How Valuable is T1 and T2 Information for Model-based Analysis of CEST MRI in Disease?

Paula L. Croal1, Kevin J. Ray2,3, James R. Larkin2, Manon A. Simard2, Brad A. Sutherland4,5, James Kennedy4, Nicola Sibson2, and Michael Chappell1

1Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom, 2CRUK & MRC Oxford Institute for Radiation Oncology, University of Oxford, Oxford, United Kingdom, 3Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 4Acute Stroke Programme, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom, 5School of Medicine, Faculty of Health, University of Tasmania, Hobart, Australia

T1 and T2 are often altered by pathology, and while this may have significant impact on quantification of CEST MRI, acquisition of T1 and T2 maps may not be feasible within a clinical setting. However, Bayesian model-based analysis of CEST MRI can incorporate estimation of T1 and T2, with or without quantitative maps. Here we explore how valuable T1 and T2 knowledge is for the detection of pathological alterations in the CEST effect using APT MRI,in both ischaemic stroke and tumours, demonstrating acquisition and analysis of should in part be tailored to the pathology in question.

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