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Abstract #3826

Low-to-High Field MR Image Quality Transfer

Hongxiang Lin1, Matteo Figini1, Felice D'Arco2, Godwin Ogbole3, David W Carmichael4,5, Ikeoluwa Lagunju6, Helen Cross4,7, Delmiro Fernandez-Reyes6,8, and Daniel C Alexander1
1Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 2Department of Radiology, Great Ormond Street Hospital, London, United Kingdom, 3Department of Radiology, College of Medicine, University of Ibadan, Ibadan, Nigeria, 4Great Ormond Street Institute of Child Health, University College London, London, United Kingdom, 5Department of Biomedical Engineering, King’s College London, London, United Kingdom, 6Department of Paediatrics, College of Medicine, University of Ibadan, Ibadan, Nigeria, 7Great Ormond Street Hospital for Children, London, United Kingdom, 8Department of Computer Science, University College London, London, United Kingdom

We devise and demonstrate an image quality transfer (IQT) system to estimate, from low-field (<0.5T) magnetic resonance (MR) structural images, the corresponding high-field (1.5T or 3T) images. The intended application scenario is to improve clinical lesion-detection, classification, and decision-making in childhood epilepsy in lower and middle income countries where T1w, T2w and FLAIR sequences on 0.36T scanners remain the clinical standard. Results on synthetic and real data verify substantial resolution and contrast enhancements, aiding conspicuity of pathological lesions.

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