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Abstract #0840

Deconvolution for Hyperpolarized Magnetic Resonance Imaging

Jack J. Miller1,2, Nikolaj Bøgh1, Andrew Tyler3, Justin Y C Lau4, Esben Søvsø Szocska Hansen1, Michael Væggemose1,5, Oliver Rider6, Damian Tyler6, and Christoffer Laustsen1
1The MR Research Centre, Aarhus University, Aarhus, Denmark, 2OCMR, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom, 3King's College London, London, United Kingdom, 4GE Healthcare, Schenectady, NY, United States, 5GE Healthcare, Brøndby, Denmark, 6OCMR, RDM, University of Oxford, Oxford, United Kingdom

Synopsis

Keywords: Hyperpolarized MR (Non-Gas), Data AnalysisHyperpolarized metabolic imaging is translating into clinical practice. However, the desire to obtain chemical, spatial and temporal information combined with the finite and non-renewable exogenous magnetisation provided by hyperpolarized techniques often results in imaging sequences with a poor point-spread function. Here we compare multiple deconvolution algorithms to improve apparent reconstructed resolution, as is commonly performed in PET imaging. We show that deconvolution can significantly improve the reconstructed resolution of hyperpolarized images.

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Keywords