Our paper “Quantitative Brain Morphometry of Portable Low-Field-Strength MRI Using Super-Resolution Machine Learning” has been published in Radiology. We present a machine learning approach that turns brain MRI scans acquired with a low-field portable device into high-resolution isotropic images that can be quantitatively analyzed with existing neuroimaging software packages.
Radiology has also published an editorial discussing our method; check it out [here].
