SUMMARY:
MRI is a cornerstone of neuroimaging, providing unparalleled soft-tissue contrast. However, its clinical utility is often limited by long acquisition times, which contribute to motion artifacts, patient discomfort, and increased costs. Although traditional acceleration techniques, such as parallel imaging and compressed sensing help reduce scan times, they may reduce SNR and introduce artifacts. The advent of deep learning–based image reconstruction (DLBIR) may help in several way…