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Multi-centre Epilepsy Lesion Detection (MELD) Project
About the MELD project
Objectives
Epilepsy is one of the most common neurological conditions where 20-30% of patients will not be controlled with medications. In many patients, the seizures are caused by a focal cerebral lesion, and surgery is a safe and effective treatment. Accurate detection of lesions on MRI and complete neurosurgical resection are important for surgery to be successful.听
The development of machine-learning algorithms to detect these lesions requires large multi-centre efforts. We collaborate with over 25 hospitals internationally!
The overall aim of is to improve the outcomes of patients with drug-resistant, surgically-remediable epilepsy through:
1.听听 听Collation of a large multicentre cohort of clinical and MRI data from patients with focal epilepsy
2.听听 听Creation of atlases of the spatial locations of focal epilepsies
3.听听 听Development of deep learning algorithms for automated lesion detection
4.听听 听Development of deep learning algorithms to automatically identify the focal epilepsy pathology
5.听听 听Generation of models for predicting post-surgical seizure freedom听
6.听听 听Translation of algorithms into clinical practice
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听