基于深度学习的喘息和自由呼吸的Cine MRI用于全面的心脏评估
Yali Wu1,2, Wei Sun1,2, Shiyu Wang1,2
1Shanghai Institute of Medical Imaging, Shanghai, China.
Korean journal of radiology
|September 28, 2025
概括
深度学习 (DL) 电影MRI序列,自由呼吸 (FB) 和喘息 (BH),显著减少扫描时间,而不会影响测量准确性. 屏息DL (BHDL) 在心律失常患者中优越,而自由呼吸DL (FBDL) 在呼吸障碍患者中卓越.
科学领域:
- 心血管磁力共振成像 (MRI) 的方法
- 医疗成像医学成像
- 人工智能在医学中的应用
背景情况:
- 标准的电影MRI受限于漫长的扫描时间和患有心律失常和呼吸障碍的患者对人工物的敏感性.
- 深度学习 (DL) 提供了加速和改进MRI获取的潜力.
研究的目的:
- 为了比较扫描时间,测量准确度和图像质量 (IQ) 的自由呼吸DL (FBDL) 和喘息DL (BHDL) 电影MRI与标准电影MRI.
- 专门评估心律失常和呼吸障碍患者的表现.
主要方法:
- 70名参与者 (24例心律不整,17例呼吸困难,29例对照) 在3T扫描仪上进行了三次电影MRI扫描 (标准,BHDL,FBDL).
- 双心室功能,LV质量和心肌应变的定量评估由盲目放射科医生进行.
- 智商被评估使用利克尔特尺度和客观指标.
主要成果:
- 与标准电影相比,BHDL和FBDL都显著减少了扫描时间 (BHDL:58s,FBDL:88s,标准:208s).
- 定量测量结果显示没有显著差异,与标准电影有很强的相关性 (>0.85).
- 与FBDL相比,BHDL的协议限制更为狭窄.
- 在心律失常患者中,BHDL产生的智商比标准cine和FBDL高.
- 在呼吸障碍患者中,FBDL获得了最高的智商分数,超过了标准cine和BHDL.
结论:
- FBDL和BHDL显著减少MRI扫描时间,而不会影响定量准确性.
- 与FBDL相比,BHDL提供了更高的精度和更短的扫描时间.
- BHDL适用于心律失常患者,最小化器件,而FBDL对呼吸障碍患者有效,减少运动器件.
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