Abstract #2239

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

Paula L. Croal¹, Kevin J. Ray^2,3, James R. Larkin², Manon A. Simard², Brad A. Sutherland^4,5, 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 T₂maps 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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