| 赵振峰,王雪梅.人工智能辅助压缩感知(ACS)技术用于一体化PET/MRI研究进展[J].中国医学影像技术,2026,42(5):799~802 |
| 人工智能辅助压缩感知(ACS)技术用于一体化PET/MRI研究进展 |
| Research progresses of artificial intelligence-assisted compressed sensing (ACS) in integrated PET/MRI |
| 投稿时间：2025-12-09 修订日期：2026-02-18 |
| DOI：10.13929/j.issn.1003-3289.2026.05.031 |
| 中文关键词: 正电子发射断层显像 磁共振成像 压缩感知 |
| 英文关键词:positron-emission tomography magnetic resonance imaging compressed sensing |
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| 中文摘要: |
| 凭借其独特的临床与科研价值,一体化PET/MRI已成为医学影像学领域的重要工具,但其存在扫描时间长、图像质量受限等缺点。人工智能辅助压缩感知(ACS)技术的兴起推动了PET/MRI发展。本文就ACS技术原理及其用于MRI和双模态协同重建研究进展,以及未来发展方向及挑战进行综述。 |
| 英文摘要: |
| Due to its unique clinical and scientific research value, integrated PET/MRI has become a crucial tool in the field of medical imaging, but still has disadvantages such as long scanning time and limited imaging quality. The rise of artificial intelligence-assisted compressed sensing (ACS) technology promoted the development of PET/MRI. The principles of ACS and its relative research progresses in MRI and dual-mode collaborative reconstruction, as well as future development directions and challenges were reviewed in this article. |
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