Veltrup Reinhard, Angerer Susanne, Gessner Elena, Matheis Friederike, Sümmerer Emily, Henningson Jann-Ole, Döllinger Michael, Semmler Marion
University Hospital Erlangen, Medical School, Division of Phoniatrics and Pediatric Audiology, Department of Otorhinolaryngology Head and Neck Surgery, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, Germany.
Department of Computer Science, Friedrich-Alexander-University Erlangen-Nürnberg, 91054 Erlangen, Germany.
Bioengineering (Basel). 2024 Sep 28;11(10):977. doi: 10.3390/bioengineering11100977.
The primary acoustic signal of the voice is generated by the complex oscillation of the vocal folds (VFs), whereby physicians can barely examine the medial VF surface due to its anatomical inaccessibility. In this study, we investigated possibilities to infer medial surface dynamics by analyzing correlations in the oscillatory behavior of the superior and medial VF surfaces of four human hemilarynges, each in 24 different combinations of flow rate, VF adduction, and elongation. The two surfaces were recorded synchronously during sustained phonation using two high-speed camera setups and were subsequently 3D-reconstructed. The 3D surface parameters of mean and maximum velocities and displacements and general phonation parameters were calculated. The VF oscillations were also analyzed using empirical eigenfunctions (EEFs) and mucosal wave propagation, calculated from medial surface trajectories. Strong linear correlations were found between the 3D parameters of the superior and medial VF surfaces, ranging from 0.8 to 0.95. The linear regressions showed similar values for the maximum velocities at all hemilarynges (0.69-0.9), indicating the most promising parameter for predicting the medial surface. Since excessive VF velocities are suspected to cause phono-trauma and VF polyps, this parameter could provide added value to laryngeal diagnostics in the future.
声音的主要声学信号由声带（VF）的复杂振荡产生，由于其解剖结构难以触及，医生几乎无法检查声带内侧表面。在本研究中，我们通过分析四个人类半喉的上表面和内侧表面振荡行为的相关性，研究推断内侧表面动态的可能性，每种半喉在流速、声带内收和伸长的24种不同组合下进行研究。在持续发声过程中，使用两个高速摄像装置同步记录两个表面，随后进行三维重建。计算平均和最大速度、位移的三维表面参数以及一般发声参数。还使用经验特征函数（EEF）和从内侧表面轨迹计算的黏膜波传播来分析声带振荡。在上表面和内侧表面的三维参数之间发现了强线性相关性，范围从0.8到0.95。线性回归显示所有半喉的最大速度值相似（0.69 - 0.9），表明这是预测内侧表面最有前景的参数。由于怀疑过高的声带速度会导致发声创伤和声带息肉，该参数未来可能会为喉部诊断提供附加价值。
