高速视频内镜的空间细分不确定性及其时间和空间依赖性
Hamzeh Ghasemzadeh1, Maria E Powell2, David S Ford3
1Center for Laryngeal Surgery and Voice Rehabilitation, Massachusetts General Hospital, Boston, MA; Department of Surgery, Harvard Medical School, Boston, MA; Department of Communicative Sciences and Disorders, Michigan State University, East Lansing, MI.
Journal of voice : official journal of the Voice Foundation
|March 29, 2025
概括
高速视频内镜 (HSV) 中的声边缘细分显示了前后喉和开放喉阶段的较高不确定性. 这种变化影响了测量可靠性,并指导了未来的自动化细分方法.
科学领域:
- 喉科和声音科学 喉科和声音科学
- 医学成像分析 医学成像分析
- 生物机械工程 生物机械工程
背景情况:
- 在高速视频内镜 (HSV) 中,声边缘的空间细分对于准确的语音分析至关重要.
- 细分不确定性直接影响得出的语音折叠尺度的可靠性.
- 了解影响细分不确定性的因素是提高诊断准确性的关键.
研究的目的:
- 在HSV记录中量化空间分割的不确定性.
- 调查这种不确定性的依赖性在球周期阶段和前后位置.
- 为改善自动化HSV分析管道提供见解.
主要方法:
- 三位专家对12个HSV录音进行了声边缘的手动细分.
- 用盲目调和的代过程来改进细分.
- 分段不确定性被计算为专家标记之间的像素距离.
主要成果:
- 与中间部分相比,分段不确定性在前置和后置光中显著更高.
- 前额头部的不确定性比中间部分高出40%.
- 观察到更开放的喉结构 (31%的增加) 时,不确定性更高,并且与正常化的喉面积相关.
结论:
- 声音折叠边缘细分的不确定性受球周期阶段和前后位置的影响.
- 这种变化需要仔细考虑不同HSV指标的不确定性水平.
- 结果可以为HSV数据开发更强大的自动细分算法提供信息.
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