Artificial Intelligence for Neuro MRI Acquisition: A Review
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Abstract (arXiv)
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 practice, and potential risks.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 30 of its 133 references that are in the map. First posted on arXiv 10 Jun 2024.
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