
Deep learning and compressed sensing for reconstruction of 3D knee MRI
This study explores combining compressed sensing (CS) and artificial intelligence (AI), particularly deep learning (DL), to accelerate three-dimensional (3D) magnetic resonance imaging (MRI) of the knee. Twenty healthy volunteers were examined using a 3-T scanner with a fat-saturated 3D proton density sequence at various acceleration levels. Two reconstruction methods were compared: conventional CS and a new DL-based algorithm (CS-AI). Two