Automated detection of focal cortical dysplasia based on magnetic resonance imaging and positron emission tomography

Focal cortical dysplasia (FCD) is a malformation of cortical development characterized by disruption of the normal cortical cytoarchitecture, which is highly epileptogenic and one of the leading causes of drug-resistant epilepsy [1]. Surgical resection is the most effective approach to control epilepsy caused by FCD. The success of surgery depends on accurately detecting the epileptogenic lesions during the presurgical evaluations. However, FCD often hides at the bottom of cortical sulci, making visual detection on MRI time-consuming and highly dependent on readers’ experience.

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