Department of Phoniatrics and Pediatric Audiology, University Hospital Erlangen, Medical School, Erlangen, Germany.
J Acoust Soc Am. 2011 Aug;130(2):948-64. doi: 10.1121/1.3605551.
With the use of an endoscopic, high-speed camera, vocal fold dynamics may be observed clinically during phonation. However, observation and subjective judgment alone may be insufficient for clinical diagnosis and documentation of improved vocal function, especially when the laryngeal disease lacks any clear morphological presentation. In this study, biomechanical parameters of the vocal folds are computed by adjusting the corresponding parameters of a three-dimensional model until the dynamics of both systems are similar. First, a mathematical optimization method is presented. Next, model parameters (such as pressure, tension and masses) are adjusted to reproduce vocal fold dynamics, and the deduced parameters are physiologically interpreted. Various combinations of global and local optimization techniques are attempted. Evaluation of the optimization procedure is performed using 50 synthetically generated data sets. The results show sufficient reliability, including 0.07 normalized error, 96% correlation, and 91% accuracy. The technique is also demonstrated on data from human hemilarynx experiments, in which a low normalized error (0.16) and high correlation (84%) values were achieved. In the future, this technique may be applied to clinical high-speed images, yielding objective measures with which to document improved vocal function of patients with voice disorders.
利用内窥镜和高速摄像机，可以在发声时观察声带的动态。然而，仅通过观察和主观判断可能不足以进行临床诊断和记录改善的声带功能，特别是当喉部疾病缺乏任何明确的形态表现时。在这项研究中，通过调整三维模型的相应参数来计算声带的生物力学参数，直到两个系统的动力学相似。首先，提出了一种数学优化方法。接下来，调整模型参数（如压力、张力和质量）以再现声带动力学，并且对推断出的参数进行生理解释。尝试了各种全局和局部优化技术的组合。使用 50 个合成生成的数据集对优化过程进行评估。结果表明，该方法具有足够的可靠性，包括 0.07 的归一化误差、96%的相关性和 91%的准确性。该技术还在人体半喉实验数据上进行了演示，实现了低归一化误差（0.16）和高相关性（84%）值。在未来，这项技术可能会应用于临床高速图像，为记录嗓音障碍患者的改善的嗓音功能提供客观的测量方法。
