Artificial Intelligence for Neuro MRI Acquisition: A Review

• URL: http://arxiv.org/abs/2406.05982v1
• Date: Mon, 10 Jun 2024 02:50:33 GMT
• Title: Artificial Intelligence for Neuro MRI Acquisition: A Review
• Authors: Hongjia Yang, Guanhua Wang, Ziyu Li, Haoxiang Li, Jialan Zheng, Yuxin Hu, Xiaozhi Cao, Congyu Liao, Huihui Ye, Qiyuan Tian,
• Abstract summary: Magnetic resonance imaging (MRI) has benefited from the resurgence of artificial intelligence (AI) This review discusses several pivotal AI-based methods in neuro MRI acquisition, focusing on their technological advances, impact on clinical practice, and potential risks.
• Score: 10.022460699159526
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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