Artificial Intelligence for Neuro MRI Acquisition: A Review
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arXiv
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| Main Authors: | , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | |
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| _version_ | 1866929407611895808 |
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| author | Yang, Hongjia Wang, Guanhua Li, Ziyu Li, Haoxiang Zheng, Jialan Hu, Yuxin Cao, Xiaozhi Liao, Congyu Ye, Huihui Tian, Qiyuan |
| author_facet | Yang, Hongjia Wang, Guanhua Li, Ziyu Li, Haoxiang Zheng, Jialan Hu, Yuxin Cao, Xiaozhi Liao, Congyu Ye, Huihui Tian, Qiyuan |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_05982 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Artificial Intelligence for Neuro MRI Acquisition: A Review Yang, Hongjia Wang, Guanhua Li, Ziyu Li, Haoxiang Zheng, Jialan Hu, Yuxin Cao, Xiaozhi Liao, Congyu Ye, Huihui Tian, Qiyuan Image and Video Processing Machine Learning Medical Physics 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. |
| title | Artificial Intelligence for Neuro MRI Acquisition: A Review |
| topic | Image and Video Processing Machine Learning Medical Physics |
| url | https://arxiv.org/abs/2406.05982 |