Artificial Intelligence for Neuro MRI Acquisition: A Review

arXiv:2406.05982v1 Announce Type: cross
Abstract: Magnetic resonance imaging (MRI) has significantly benefited from the resurgence of artificial intelligence (AI). By leveraging AI's capabilities in large-scale optimization and pattern recognition, innovative methods are transforming the MRI acquisition workflow, including planning, sequence design, and correction of acquisition artifacts. These emerging algorithms demonstrate substantial potential in enhancing the efficiency and throughput of acquisition steps. This review discusses several pivotal AI-based methods in neuro MRI acquisition, focusing on their technological advances, impact on clinical …

abstract acquisition algorithms artificial artificial intelligence arxiv capabilities cs.lg design eess.iv imaging intelligence mri neuro optimization pattern pattern recognition physics.med-ph planning potential recognition review scale type workflow