在膝盖MRI成像中使用人工智能辅助的压缩传感协议的可行性:一项前性的多读者研究
Qizheng Wang1, Weili Zhao1, Xiaoying Xing1
1Department of Radiology, Peking University Third Hospital, Haidian District, 49 North Garden Road, Beijing, 100191, People's Republic of China.
European radiology
|June 29, 2023
概括
与标准并行成像 (PI) 相比,人工智能辅助压缩传感 (ACS) MRI 提供更优质的图像质量和与标准并行成像 (PI) 相同的膝盖扫描诊断性能. 这种新的ACS协议显著减少了扫描时间,提高了患者的效率和可访问性.
科学领域:
- 磁共振成像 (MRI) 是一种磁共振成像技术.
- 医疗成像中的人工智能 (AI)
- 放射学 放射学是一门学科.
背景情况:
- 标准并行成像 (PI) 被广泛用于加速MRI扫描.
- 由人工智能增强的压缩传感 (CS) 技术为进一步加速提供了潜力.
- 优化膝盖MRI协议对于高效的临床工作流程至关重要.
研究的目的:
- 为了比较AI辅助压缩传感 (ACS) 加速MRI与标准PI的图像质量和诊断性能,用于膝盖扫描.
- 评估显著减少MRI采集时间的可行性,而不会影响诊断准确度.
- 评估ACS在快速3.0T膝盖MRI中的临床实用性.
主要方法:
- 对130名接受3.0T膝盖MRI的参与者的前性研究.
- 一个8.0分钟PI协议与两个ACS协议 (3.5分钟和2.0分钟) 的比较.
- 定量图像质量评估 (SNR,ERD) 和独立放射科医生对结构障碍的评估.
- 统计分析包括沙皮罗-威尔克,弗里德曼,弗莱斯和德龙的测试.
主要成果:
- 与PI相比,ACS协议显示显著改善SNR (p < 0.001) 和减少/相当于ERD.
- 读者间和协议间的一致性从中度到实质性 (κ = 0.73-0.98).
- 经阴茎撕裂,十字带撕裂和软骨缺陷的诊断性能在ACS和PI协议之间是相当的 (p > 0.05).
结论:
- 与PI相比,人工智能辅助压缩传感 (ACS) 在膝盖MRI中提供更优质的图像质量.
- ACS 实现了结构异常的同等诊断性能,同时将扫描时间缩短了高达 75%.
- 该ACS协议提高了膝盖MRI检查的临床效率和可访问性.
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