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Abstract #2421

Automated T2 Relaxometry of the Hippocampus

Gavin Paul Winston1,2, Sjoerd B Vos2,3, Jane L Burdett1,2, M Jorge Cardoso3, Sebastien Ourselin3, and John S Duncan1,2

1Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, United Kingdom, 2Epilepsy Society MRI Unit, Chalfont St Peter, United Kingdom, 3Translational Imaging Group, Centre for Medical Image Computing, UCL, London, United Kingdom

Hippocampal sclerosis (HS), the most common cause of refractory temporal lobe epilepsy, is associated with hippocampal volume loss and increased T2-signal. These can be identified on quantitative imaging with hippocampal volumetry and T2 relaxometry. Whilst hippocampal segmentation for volumetry has been automated, T2 relaxometry currently involves subjective manual delineation of regions-of-interest. In this work, we validate an automated technique for hippocampal T2 relaxometry and show in a group of healthy controls and patients with HS that a combination of hippocampal volume and T2 values can reliably distinguish the groups and that automated measurement is more reproducible than manual measurement.

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