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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