过导管大动脉植入的自动评估结果在四维计算机断层扫描图像上使用人工智能
Laura Busto1, César Veiga1, José A González-Nóvoa1
1Cardiology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), 36312 Vigo, Spain.
Bioengineering (Basel, Switzerland)
|October 28, 2023
概括
一种新的自动化方法分析了跨导管大动脉植入 (TAVI) 后的4D-CT扫描,以评估假肢性能. 这种技术提供了关键的测量,有助于TAVI的改进和减少临床医生的工作量.
科学领域:
- 心血管成像 - 心血管成像
- 医学图像分析 医学图像分析
- 假肢设备评价 假肢设备评价
背景情况:
- 过导管大动脉植入 (TAVI) 是严重的大动脉狭窄症的关键治疗方法.
- 后TAVI并发症需要详细分析计算机断层扫描 (CT) 扫描来评估植入成功.
- 目前的评估方法对临床医生来说可能是耗时和劳动密集的.
研究的目的:
- 开发和验证一种完全自动的方法来分析TAVI后的4D-CT扫描.
- 描述TAVI假肢的性能及其解剖关系.
- 为了实现整个心脏周期的关键体积和横截面测量的自动提取.
主要方法:
- 在TAVI 4D-CT扫描后实施全新,全自动图像分析管道.
- 提取定量指标,包括假肢体积,质量中心和横截面积 (CSA).
- 在五种不同的假肢模型中对13名患者的队列上对该方法的评估.
主要成果:
- 从患者数据中成功地自动提取所有必要的测量结果.
- 对Allegra假肢模型的量化假肢内部体积和CSA.
- 测量的可证明变化,例如,CSA范围从396.35mm2到485.34mm2.
结论:
- 开发的自动化方法准确地分析TAVI 4D-CT扫描后的结果.
- 提供临床上有价值的信息,用于评估TAVI结果和改进程序.
- 显著减少了TAVI后续图像解释所需的时间和精力.
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