使用自由呼吸的人工智能cine与运动校正来评估双心室心脏功能:与标准多重屏息cine进行比较
Lingping Ran1, Xianghu Yan1, Yun Zhao1
1Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
European journal of radiology
|May 15, 2025
概括
自由呼吸的AI电影与运动校正 (FB AI MOCO) 提供了与屏息电影相似的图像质量和双心脏功能,但扫描时间显著缩短. 这种人工智能方法对临床心脏MRI应用有前途.
科学领域:
- 心血管成像 - 心血管成像
- 人工智能在医学中的应用
- 医学物理 医学物理
背景情况:
- 心脏MRI (CMR) 传统上依赖于屏住呼吸 (BH) 电影序列,这对患者来说可能是具有挑战性的.
- 运动工件可以降低图像质量,并影响双心脏功能评估的准确性.
- 人工智能驱动的技术为提高CMR效率和患者舒适性提供了潜在的解决方案.
研究的目的:
- 为了评估图像质量和双心功能参数,使用自由呼吸的人工智能电影方法与运动校正 (FB AI MOCO).
- 为了比较FB AI MOCO cine的性能与标准的屏息 (BH) cine序列.
主要方法:
- 预计将有72名参与者参加以3.0特斯拉的速度进行电影扫描,使用标准BH电影和FB AI MOCO电影.
- 图像质量使用5分利克特尺度 (对比度,边界定义,文物) 和定量指标 (aSNR,eCNR) 进行评估.
- 通过使用统计分析和协议指标 (ICC,Bland-Altman) 计算和比较序列之间的双状功能参数 (体积,射出分数,质量).
主要成果:
- FB AI MOCO cine显著减少了获取时间 (14.7s与82.6s相比,P<0.001).
- 没有观察到明显的信号噪声比 (aSNR) 或定性图像质量得分的显著差异.
- FB AI MOCO cine 显示出较高的估计对比与噪声比 (eCNR) 和血池与心肌对比 (P < 0.003),与所有双心室功能参数的良好相关性和一致性.
结论:
- FB AI MOCO cine提供了与标准BH cine相比较的图像质量和准确的双心脏功能评估.
- FB AI MOCO cine的扫描时间显著缩短,使其成为临床心脏MRI的有希望的替代品.
- 这种基于人工智能的方法提高了心血管成像的效率和患者体验.
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