Unsupervised high-resolution 3D MRI motion correction via physics-informed implicit neural representations.
Motion-corrupted inverse problems remain a central bottleneck in magnetic resonance imaging (MRI), especially for high-resolution 3D acquisitions where long readouts couple rigid-body displacement with non-Cartesian k-space sampling. We present a physics-informed implicit neural representation (INR) that recasts 3D mot...