Deep Learning for Accelerated and Robust MRI Reconstruction: a Review

arXiv:2404.15692v1 Announce Type: new
Abstract: Deep learning (DL) has recently emerged as a pivotal technology for enhancing magnetic resonance imaging (MRI), a critical tool in diagnostic radiology. This review paper provides a comprehensive overview of recent advances in DL for MRI reconstruction. It focuses on DL approaches and architectures designed to improve image quality, accelerate scans, and address data-related challenges. These include end-to-end neural networks, pre-trained networks, generative models, and self-supervised methods. The paper also discusses the role of DL …

abstract advances architectures arxiv cs.lg deep learning diagnostic eess.iv imaging mri overview paper pivotal radiology review robust technology tool type