RimNet: A deep 3D multimodal MRI architecture for paramagnetic rim lesion assessment in multiple sclerosis

Germán Barquero,Francesco La Rosa,Hamza Kebiri,Po-Jui Lu,Reza Rahmanzadeh,Matthias Weigel,Mário João Fartaria,Tobias Kober,Marie Théaudin,Renaud Du Pasquier,Pascal Sati,Daniel S. Reich,Martina Absinta,Cristina Granziera,Pietro Maggi,Meritxell Bach Cuadra

NeuroImage: Clinical（2020）

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摘要

•RimNet,an automated method to detect paramagnetic rim in Multiple Sclerosis lesions.•Different rim detection ability of 3D FLAIR and 3D EPI (T2* & Phase) MRI.•RimNet performance is close to experts’ at lesion and patient-wise levels.•Automated rim analysisis feasiblewith one single 3D EPI MR acquisition.•Excellent RimNet performance is maintained in inter-hospital evaluation.

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关键词

Multiple sclerosis,Paramagnetic rim lesions,Susceptibility-based MRI,Deep learning,Supervised classification,Multimodal network

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