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Abstract #2289

Advanced reconstruction provides improved image quality and enables shorter breath-holds in contrast-enhanced liver imaging

David Stockton1, Mihaela Rata1,2, Francesca Castagnoli1, Joshua Shur1, Georgina Hopkinson1, Alison Macdonald1, Marcel Dominik Nickel3, Stephan Kannengiesser3, Dow-Mu Koh1,2, and Jessica M Winfield1,2
1MRI Unit, The Royal Marsden NHS Foundation Trust, London, United Kingdom, 2Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom, 3MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany


An advanced reconstruction method, which employs a neural network trained on high resolution data to conduct interpolation, combined with iterative denoising, was applied in contrast-enhanced liver imaging in patients receiving a hepatocyte-specific contrast agent. The advanced reconstruction provides improved image quality, with better contrast-to-noise ratio, vessel edge sharpness, and lesion edge sharpness compared with the standard reconstruction using zero-filling interpolation without advanced reconstruction. The improvement in image quality was also observed in faster acquisitions (lower phase resolution), thus enabling shorter breath-hold acquisitions.

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