Artificial intelligence for neuro MRI acquisition: a review.

IF 2 4区医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Magnetic Resonance Materials in Physics, Biology and Medicine Pub Date : 2024-07-01 Epub Date: 2024-06-26 DOI:10.1007/s10334-024-01182-7

Hongjia Yang, Guanhua Wang, Ziyu Li, Haoxiang Li, Jialan Zheng, Yuxin Hu, Xiaozhi Cao, Congyu Liao, Huihui Ye, Qiyuan Tian

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引用次数: 0

Abstract

Object: To review recent advances of artificial intelligence (AI) in enhancing the efficiency and throughput of the MRI acquisition workflow in neuroimaging, including planning, sequence design, and correction of acquisition artifacts.

Materials and methods: A comprehensive analysis was conducted on recent AI-based methods in neuro MRI acquisition. The study focused on key technological advances, their impact on clinical practice, and potential risks associated with these methods.

Results: The findings indicate that AI-based algorithms have a substantial positive impact on the MRI acquisition process, improving both efficiency and throughput. Specific algorithms were identified as particularly effective in optimizing acquisition steps, with reported improvements in workflow efficiency.

Discussion: The review highlights the transformative potential of AI in neuro MRI acquisition, emphasizing the technological advances and clinical benefits. However, it also discusses potential risks and challenges, suggesting areas for future research to mitigate these concerns and further enhance AI integration in MRI acquisition.

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神经磁共振成像采集的人工智能：综述。

目的回顾人工智能（AI）在提高神经影像核磁共振成像采集工作流程的效率和吞吐量方面的最新进展，包括规划、序列设计和采集伪影校正：对神经磁共振成像采集中基于人工智能的最新方法进行了全面分析。研究重点是关键技术进展、对临床实践的影响以及与这些方法相关的潜在风险：结果：研究结果表明，基于人工智能的算法对核磁共振成像采集过程产生了巨大的积极影响，提高了效率和吞吐量。特定算法在优化采集步骤方面尤为有效，据报道可提高工作流程效率：本综述强调了人工智能在神经磁共振成像采集中的变革潜力，强调了技术进步和临床效益。不过，它也讨论了潜在的风险和挑战，提出了未来研究的领域，以减轻这些担忧，进一步加强人工智能在磁共振成像采集中的整合。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Magnetic Resonance Materials in Physics, Biology and Medicine 医学-核医学

CiteScore

4.60

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： MAGMA is a multidisciplinary international journal devoted to the publication of articles on all aspects of magnetic resonance techniques and their applications in medicine and biology. MAGMA currently publishes research papers, reviews, letters to the editor, and commentaries, six times a year. The subject areas covered by MAGMA include: advances in materials, hardware and software in magnetic resonance technology, new developments and results in research and practical applications of magnetic resonance imaging and spectroscopy related to biology and medicine, study of animal models and intact cells using magnetic resonance, reports of clinical trials on humans and clinical validation of magnetic resonance protocols.