基于地标的自动中平面:在头部CT扫描上对三维下部不对称性评估的可靠性
Sophie Alt1, Laurent Gajny1, Françoise Tilotta2
1Institut de Biomecanique Humaine Georges Charpak, Arts et Metiers Institute of Technology, Paris, France.
Clinical oral investigations
|May 25, 2025
概括
基于地标的自动化中平面 (MSP) 构造可靠地量化了头部CT扫描上的下不对称性. 这种方法与手工准确性和临床相关性相匹配,为评估面部不对称提供了有价值的工具.
科学领域:
- 医学成像分析分析 医学成像分析
- 计算解剖学的计算解剖学
- 头脑测量仪的使用方法
背景情况:
- 准确确定中平面 (MSP) 对于评估3D头部成像中的面部不对称至关重要.
- 现有的MSP确定方法可能耗时且取决于运营商.
研究的目的:
- 评估基于地标的自动化MSP构建方法的可靠性和临床相关性.
- 用自动化MSP对头部CT扫描来量化下部不对称.
主要方法:
- 一个深度学习模型在368个头部CT扫描中自动注释了3D脑电测地标.
- 使用五个特定的地标构建了一个自动化的MSP,与法兰克福水平平面直角.
- 将自动MSP构建的可靠性与手动方法进行比较,并根据专家判断评估下部不对称性.
主要成果:
- 自动化MSP建设显示出高可靠性,与手工方法相比.
- 对于手工可重复性,达成的95%的协议限制在翻转时为1mm,旋转时为1.1°.
- 自动测量在手动测量的置信区间内,表明临床相关性.
结论:
- 基于地标的自动化MSP构建与手工构建一样可靠.
- 这种自动化方法在临床上与头部CT扫描中评估下部不对称性有关.
- 完全自动化的MSP构造具有评估面部不对称性的临床应用潜力.
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