Graph Image Prior for Unsupervised Dynamic MRI Reconstruction

arXiv:2403.15770v1 Announce Type: cross
Abstract: The inductive bias of the convolutional neural network (CNN) can act as a strong prior for image restoration, which is known as the Deep Image Prior (DIP). In recent years, DIP has been utilized in unsupervised dynamic MRI reconstruction, which adopts a generative model from the latent space to the image space. However, existing methods usually utilize a single pyramid-shaped CNN architecture to parameterize the generator, which cannot effectively exploit the spatio-temporal correlations within the …

abstract act arxiv bias cnn convolutional neural network cs.cv dynamic eess.iv generative graph image image restoration inductive mri network neural network prior type unsupervised