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激光投射经鼻纤维光学高速视频内窥镜垂直校准方法

Method for Vertical Calibration of Laser-Projection Transnasal Fiberoptic High-Speed Videoendoscopy.

作者信息

Ghasemzadeh Hamzeh, Deliyski Dimitar D, Ford David S, Kobler James B, Hillman Robert E, Mehta Daryush D

机构信息

Department of Communicative Sciences and Disorders, Michigan State University, East Lansing, Michigan; Department of Computational Mathematics Science and Engineering, Michigan State University, East Lansing, Michigan.

Department of Communicative Sciences and Disorders, Michigan State University, East Lansing, Michigan.

出版信息

J Voice. 2020 Nov;34(6):847-861. doi: 10.1016/j.jvoice.2019.04.015. Epub 2019 May 29.

Abstract

The ability to provide absolute calibrated measurement of the laryngeal structures during phonation is of paramount importance to voice science and clinical practice. Calibrated three-dimensional measurement could provide essential information for modeling purposes, for studying the developmental aspects of vocal fold vibration, for refining functional voice assessment and treatment outcomes evaluation, and for more accurate staging and grading of laryngeal disease. Recently, a laser-calibrated transnasal fiberoptic endoscope compatible with high-speed videoendoscopy (HSV) and capable of providing three-dimensional measurements was developed. The optical principle employed is to project a grid of 7 × 7 green laser points across the field of view (FOV) at an angle relative to the imaging axis, such that (after calibration) the position of each laser point within the FOV encodes the vertical distance from the tip of the endoscope to the laryngeal tissues. The purpose of this study was to develop a precise method for vertical calibration of the endoscope. Investigating the position of the laser points showed that, besides the vertical distance, they also depend on the parameters of the lens coupler, including the FOV position within the image frame and the rotation angle of the endoscope. The presented automatic calibration method was developed to compensate for the effect of these parameters. Statistical image processing and pattern recognition were used to detect the FOV, the center of FOV, and the fiducial marker. This step normalizes the HSV frames to a standard coordinate system and removes the dependence of the laser-point positions on the parameters of the lens coupler. Then, using a statistical learning technique, a calibration protocol was developed to model the trajectories of all laser points as the working distance was varied. Finally, a set of experiments was conducted to measure the accuracy and reliability of every step of the procedure. The system was able to measure absolute vertical distance with mean percent error in the range of 1.7% to 4.7%, depending on the working distance.

摘要

在发声过程中对喉部结构进行绝对校准测量的能力对语音科学和临床实践至关重要。校准后的三维测量可为建模目的、研究声带振动的发育方面、完善功能性语音评估和治疗效果评估以及更准确地对喉部疾病进行分期和分级提供重要信息。最近,开发了一种与高速视频内镜(HSV)兼容且能够提供三维测量的激光校准鼻纤维内镜。所采用的光学原理是将一个7×7的绿色激光点网格以相对于成像轴的角度投射到视野(FOV)上,这样(在校准后)视野内每个激光点的位置编码了从内镜尖端到喉部组织的垂直距离。本研究的目的是开发一种精确的内镜垂直校准方法。对激光点位置的研究表明,除了垂直距离外,它们还取决于透镜耦合器的参数,包括图像帧内的视野位置和内镜的旋转角度。所提出的自动校准方法旨在补偿这些参数的影响。使用统计图像处理和模式识别来检测视野、视野中心和基准标记。这一步将HSV帧归一化到一个标准坐标系,并消除了激光点位置对透镜耦合器参数的依赖性。然后,使用统计学习技术,开发了一种校准协议,以模拟随着工作距离变化所有激光点的轨迹。最后,进行了一组实验来测量该过程每个步骤的准确性和可靠性。根据工作距离的不同,该系统能够测量绝对垂直距离,平均百分比误差在1.7%至4.7%的范围内。

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