Abstract #3826

Low-to-High Field MR Image Quality Transfer

Hongxiang Lin¹, Matteo Figini¹, Felice D'Arco², Godwin Ogbole³, David W Carmichael^4,5, Ikeoluwa Lagunju⁶, Helen Cross^4,7, Delmiro Fernandez-Reyes^6,8, 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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