Background: Software tools can support MRI diagnosis of focal cortical dysplasias (FCDs) - subtle, surgically-treatable lesions that underlie drug-resistant focal epilepsy (DRFE). MELD-graph, a widely used open-source tool combining surface-based morphometry with a convolutional neural network, was developed using 1.5T...
C. Kronlage, M. Ripart, R. Piper et al.· medRxiv· 0 citations
This study uses Multimodal Surface Matching with Hierarchical Templates (MSM-HT), a hierarchical surface registration, to parse cortical folding patterns into a representative family of distinct anatomical templates, offering a robust framework to generalise the uncovered cortical folding motifs across datasets and dev...
You-Rong Guo, Mohamed A. Suliman, L. Williams et al.· Nature Communications· 0 citations
Background: Hippocampal sclerosis (HS) is a common cause of drug-resistant focal epilepsy (DRFE) and amenable to neurosurgical treatment. Detection relies on MRI but can be challenging. 7 Tesla (T) ultra-high field MRI and automated MRI post-processing tools have independently been shown to improve radiological diagnos...
C. Kronlage, M. Ripart, R. Piper et al.· medRxiv· 0 citations
An anatomy-aware deep learning framework for enhancement of neonatal 64mT T2-weighted MRI improves anatomical visibility while preserving native ultra-low-field contrast and enabling quantitative structural analysis support the feasibility of quantitative neonatal neuroimaging at ultra-low field.
P. Cawley, A. Uus, K. Colford et al.· medRxiv· 0 citations
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