在超声波图像中追踪 palates 的最佳实践
概括
在超声波 (美国) 影像中精确的 palatal 追踪对于语音分析至关重要. 累积回声骨架 (CES) 方法提高了手动追踪的可复制性,特别是对于干,显示了自动语音语言病理学应用的潜力.
科学领域:
- 生物医学工程 生物医学工程
- 语音科学 语言科学
- 医疗成像医学成像
背景情况:
- 超声波 (美国) 影像可视化声道和舌头在讲话时的运动.
- 在美国图像中精确的 palatal 轮追踪对于语音发音分析至关重要.
- palatal tracing 的挑战包括由于空气间隙导致的可见度有限.
研究的目的:
- 用图像增强算法评估手动 palatal 追踪的可复制性.
- 评估累积回声骨架 (CES) 方法对追踪精度的影响.
- 为了在不同的吞任务中比较跟踪性能.
主要方法:
- 手动地盘跟踪,具有不同级别的图像增强辅助.
- 使用累积回声骨架 (CES) 来增强和重建 palatal 回声.
- 在干吞,唾液吞和肉吞任务中测试方法.
主要成果:
- 基于CES的方法在 palatal tracing中显著提高了评分者协议.
- 干吞任务在所有测试方法中始终显示出更高的一致性.
- 基于CES的自动方法对干吞 (平均距离总和:2.63毫米) 显示出有希望的准确性.
结论:
- 方法和任务选择对于改善美国的 palatal tracing 中的可复制性至关重要.
- 基于CES的方法提供了更高的准确性和评级者协议.
- 自动口腔追踪在语音语言病理学中具有重要的临床应用潜力.
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