从4D流动MRI进行血流评估的全自动门分割,包括自动心脏门跟踪和跨门速度映射
Thomas In de Braekt1,2, Jean-Paul Aben3, Marc Maussen3
1Department of Radiology, Catharina Hospital, Eindhoven, the Netherlands.
Journal of magnetic resonance imaging : JMRI
|April 1, 2024
概括
自动化4D流量MRI细分用于膜流量量化是高效的. 手动细分显示出稍微更好的一致性,但手动校正的自动化方法是临床使用的可行的替代方案.
科学领域:
- 心血管成像 - 心血管成像
- 医学物理 医学物理
- 放射学 放射学是指放射学
背景情况:
- 自动化的4D流量MRI细分可以简化膜流量量化.
- 手动细分是耗时的,阻碍了临床工作流程的效率.
研究的目的:
- 为了比较自动细分 (AS) 与手动细分 (MS) 和手动纠正的自动细分 (AMS).
- 评估已纠正心室隔膜缺陷 (c-AVSD) 的患者和健康志愿者的净向前体积 (NFV) 和反率 (RF).
主要方法:
- 这是一项回顾性研究,涉及27名c-AVSD患者和24名健康志愿者.
- 使用全心4D流MRI和3T时的Cine稳定状态自由前行.
- 比较包括威尔科克森签名等级测试和使用ICCs的内/间观察者变异性.
主要成果:
- AMS分析时间明显短于MS (5.3分钟与9.1分钟相比).
- 在MS中,NFV变化最小 (6.0%),其次是AMS (6.3%) 和AS (8.2%).
- 方法之间没有观察到RAVV和LAVVRF的显著差异;对于AMS和MS,有很强的观察者内部/观察者间一致性.
结论:
- 手动细分 (MS) 提供了最高的内部一致性,紧随其后的是手动纠正的自动细分 (AMS).
- 自动细分 (AS),有或没有手动校正,是4D流量MRI门流量量化的一个可行的选择.
- 这些发现支持自动化和半自动化方法的临床实用性,以加速4D流MRI分析.
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