人工智能辅助的脚加速MRI:临床实践评估评估
Qiang Zhao1, Jiajia Xu1, Yu Xin Yang2
1Department of Radiology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, People's Republic of China.
European radiology experimental
|October 19, 2023
概括
人工智能辅助压缩传感 (ACS) 显著减少了32-43%的脚MRI扫描时间,同时保持了诊断准确度. 这种人工智能技术加速成像,改善临床工作流程和患者诊断.
科学领域:
- 放射学 放射学是一门学科.
- 医疗成像医学成像
- 人工智能在医学中的应用
背景情况:
- 高空间分辨率的磁共振成像 (MRI) 对于脚关节可视化至关重要.
- 传统的快速旋转回声序被长时间的采集时间所限制.
- 人工智能辅助压缩传感 (ACS) 为加速MRI扫描提供了一个综合解决方案.
研究的目的:
- 为了比较ACS加速的3T脚MRI与传统压缩传感 (CS) 和并行成像 (PI) 方法的疗效.
- 评估ACS对采集时间,图像质量和脚MRI诊断协议的影响.
主要方法:
- 前性研究包括105名脚疼痛患者和2名健康志愿者.
- 优化ACS加速因子 (3.2-3.3×) 对于T1,T2和质子密度 (PD) 权重的脚MRI序列.
- 使用统计测试,与传统的CS和PI进行ACS与采集时间,SNR,CNR,主观质量和诊断协议的比较.
主要成果:
- 与传统的CS和PI相比,ACS将脚MRI采集时间减少了32-43%.
- 图像质量保持不变,ACS显示的SNR (p < 0.004) 和CNR (p < 0.047) 大多较高.
- ACS和传统序列之间的诊断一致性很好 (κ = 1.00).
结论:
- 脚MRI的最佳ACS加速因子是3.2-3.3×.
- ACS可以更快地获得脚MRI,而不会影响图像质量或诊断性能.
- 人工智能辅助的压缩传感加速了脚MRI,潜在地改善了患者的诊断和临床效率.
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