Super-resolution images are generated from standard-resolution images acquired with a magnetic resonance imaging (“MRI”) system. More particularly, super-resolution (e.g., sub-millimeter isotropic resolution) images are generated from standard-resolution images (e.g., images with 1 mm or coarser isotropic resolution) using a deep learning algorithm, from which accurate cortical surface reconstructions can be generated.
SUPER-RESOLUTION ANATOMICAL MAGNETIC RESONANCE IMAGING USING DEEP LEARNING FOR CEREBRAL CORTEX SEGMENTATION