可修改性指数:一种新的指标,用于估计手动编辑感兴趣对象的自动分割所需的努力
Da He1,2, Jayaram K Udupa2, Yubing Tong2
1University of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai 200240, China.
概括
一个新的可修改性指数 (MI) 度量更好地估计了用于医疗图像自动分割的手动编辑工作. 这个指标与人类读者行为保持一致,提供了比Dice或Hausdorff指标更具临床相关性的评估.
科学领域:
- 医疗成像医学成像
- 放射学 放射学是一门学科.
- 辐射瘤学 辐射瘤学
背景情况:
- 医学成像中的自分化对于提高精确放射学和辐射瘤学的提高至关重要.
- 目前的评估指标,如子系数和豪斯多夫距离,在评估细分质量时并不完全与人类读者行为保持一致.
- 人类读者经常手动纠正自动分割的图像,表明需要量化编辑工作的指标.
研究的目的:
- 提出一种新的指标,即可编辑性指数 (MI),以估计编辑自动分割医疗图像所需的手工工作.
- 评估MI是否与现有指标相比更好地反映了临床实用性和人类读者行为.
- 根据人类编辑行为对自动分段错误进行分类,并纳入主观划分变化.
主要方法:
- 开发可变性指数 (MI) 度量,该度量考虑了不同的错误类型和人类主观划分.
- 使用505个3D计算机断层扫描 (CT) 自动分割对3个机构的6个对象进行验证.
- 对MI,子系数,豪斯多夫距离和专家手工修补时间之间的相关性分析.
主要成果:
- 可编辑性指数 (MI) 与专家手动编辑时间相比,与子系数和豪斯多夫距离相比,显示出更强的相关性.
- MI有效量化了手动纠正自行分割医疗图像所需的努力.
- 拟议的指标显示了对自细分临床价值的更准确评估的潜力.
结论:
- 可修复性指数 (MI) 是一个更合适的指标,用于指示医疗图像自分割中手动修复的努力.
- 通过与人类读者行为保持一致,MI提供了更具临床相关性的自我细分质量的评估.
- 这一指标可以帮助量化放射学和瘤学中自细分技术的临床价值和效率.
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