Artificial Intelligence for Neuro MRI Acquisition: A Review
Hongjia Yang
Guanhua Wang
Ziyu Li
Haoxiang Li
Jialan Zheng
Yuxin Hu
Xiaozhi Cao
C. Liao
Huihui Ye
Qiyuan Tian

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 practice, and potential risks.
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