Eysholdt U, Lohscheller J
Abteilung für Phoniatrie und Pädaudiologie, Universitätsklinikum Erlangen, Erlangen, Germany.
HNO. 2008 Dec;56(12):1207-12. doi: 10.1007/s00106-007-1541-9.
Stroboscopy is widely used and is quite adequate for the examination of normal voices, but with increasing hoarseness its suitability declines, even when it is supplemented by video recordings and image evaluation. Real-time procedures such as videokymography or high-speed (HS) video imaging are more suitable methods of observing the movements of the vocal folds in such cases. A drawback of any video recording is the later time-consuming offline replay of the films in slow motion and our restricted pattern recognition for motion and other time-dependent processes.
The phonovibrogram (PVG) is an image-processing algorithm that extracts the vocal fold motions of a whole laryngoscopic HS video film and automatically compresses them into a single image.
Simple patterns that vary from person to person are revealed by PVG; these can be categorized by means of simple geometric forms, which a human observer can more easily recognize and interpret than dynamic motion patterns. The PVG computation is described in detail and an extensive guide to interpretation is given, illustrated by reference to theoretical and real examples.
In clinical conditions, HS laryngoscopic video recording is useful only in association with automatic image processing. The PVG procedure is a promising approach and tests should be performed with a view to further clinical validation.
频闪喉镜检查被广泛应用,对于正常嗓音的检查相当充分,但随着声音嘶哑程度的增加,其适用性会下降,即便辅以视频录制和图像评估也是如此。在这种情况下,诸如视频记波法或高速(HS)视频成像等实时检查方法是观察声带运动更合适的手段。任何视频录制的一个缺点是后续需要耗费时间以慢动作离线重放影片,而且我们对运动及其他与时间相关过程的模式识别能力有限。
声振图(PVG)是一种图像处理算法,可提取整个喉镜HS视频影片中的声带运动,并自动将其压缩成单幅图像。
PVG揭示了因人而异的简单模式;这些模式可通过简单的几何形状进行分类,相较于动态运动模式,人类观察者能更轻松地识别和解读这些形状。详细描述了PVG的计算过程,并给出了广泛的解读指南,同时引用理论和实际例子进行说明。
在临床情况下,HS喉镜视频录制只有与自动图像处理相结合才有用。PVG程序是一种很有前景的方法,应进行相关测试以进一步进行临床验证。