The Multi-centre Epilepsy Lesion Detection (MELD) project presents a methodology to harmonise a large heterogenous cohort of surface-based MRI data. Structural features were extracted from T1w and FLAIR images and pre-processed to reduce systematic site, scanner, and age-specific biases. The harmonised dataset enabled the characterisation of subtle radiological markers of focal cortical dysplasia (FCD), a cortical abnormality causing drug-resistant epilepsy. Machine-learning algorithms trained on the harmonised dataset improved the classification of FCD histopathologies. With open-source protocols and code, the MELD preprocessing pipeline offers a reproducible method to prepare large heterogeneous datasets for statistical analysis and machine-learning tasks.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Keywords