Topic: cortical surface reconstruction

Deep learning based methods are considered a viable alternative for a quick and reliable whole-brain MRI segmentation. This work aims at a quantitative evaluation of the performance of DeepSCAN and FastSurferCNN, two different deep-learning based segmentation approaches, in comparison to the well studied Freesurfer reconstruction. Going beyond assessment based on Dice indices, the purpose is to test the reliability and robustness of the resulting cortical surface reconstruction. It was used 3D T1-weighted MR images from four open-access databases, each one selected to test different aspects of