基于深度学习的后对比高加速度心脏电影MRI对心室功能评估的可靠性
Makoto Orii1, Momoko Sugawara1, Tsuyoshi Sugawara2
1Department of Radiology, Iwate Medical University, Yahaba, Japan.
Magnetic resonance imaging
|December 21, 2024
概括
基于深度学习的心脏影像成像 (DL cine) 提供了相应的图像质量和腹腔功能评估,无论是在对比剂施用前和后. 这种2D DL影像技术可以减少整体心脏MRI扫描时间.
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:
- 心脏磁共振 (CMR) 成像对于评估双心室体积和功能至关重要.
- 减少CMR扫描时间是可取的,以提高患者的舒适性和吞吐量.
- 深度学习 (DL) 技术为加速图像采集提供了潜力.
研究的目的:
- 评估基于二维深度学习的高加速心脏影像 (DL cine) 成像的诊断性能.
- 为了比较前后对比度DL cine采集的图像质量和双心功能参数.
- 为了确定DL cine是否可以在对比后进行,以缩短整体检查时间.
主要方法:
- 30名患者接受了1.5T心脏MRI,在短轴视图中进行了对比前和后2D DL影像成像.
- 图像质量是根据对比度,边界划分和运动工件来评估的.
- 量化了两心室参数,包括末端透气体积 (EDV),末端静脉体积 (ESV),中风体积 (SV),喷射率 (EF) 和左心室质量 (LVM).
主要成果:
- 2D DL cine获取时间的中位数为38.4±9.1秒.
- 在对比扫描前后的图像质量得分中没有发现显著差异 (p > 0.05).
- 双晶体体体积和功能参数 (EDV,ESV,SV,EF,LVM) 在对比前和后的DL cine之间没有显著差异 (p > 0.05).
结论:
- 2D DL电影成像在对比剂施用前和施用后显示了同等的性能.
- 这些发现支持使用对比后DL cine,以潜在地减少心脏MRI检查总时间.
- DL cine是一种可行的工具,用于临床评估心脏功能和图像质量.
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