Department of Mechanical Engineering, Chonnam National University, Gwangju 61186, South Korean.
Department of Mechanical Engineering, Chonnam National University, Gwangju 61186, South Korean.
Comput Methods Programs Biomed. 2020 Mar;185:105132. doi: 10.1016/j.cmpb.2019.105132. Epub 2019 Oct 12.
Strabismus is an eye movement disorder in which shows the abnormal ocular deviation. Cover tests have mainly been used in the clinical diagnosis of strabismus for treatment. However, the whole process depends on the doctor's level of experience, which could be subjected to several factors. In this study, an automated technique for measurement of ocular deviation using a virtual reality (VR) device is developed.
A VR display system in which the screens that have the fixation target are changed alternately between on and off stages is used to simulate the normal strabismus diagnosis steps. Patients watch special-designed 3D scenes, and their eye motions are recorded by two infrared (IR) cameras. An image-processing-based pupil tracking technique is then applied to track their eye movement. After recording eye motion, two strategies for strabismus angle estimation are implemented: direct measurement and stepwise approximation. The direct measurement converts the eye movement to a strabismus angle after considering the eyeball diameter, while the stepwise approximation measures the ocular deviation through the feedback calibration process.
Experiments are carried out with various strabismus patients. The results are compared to those of their doctors' measurement, which shows good agreement.
The results clearly indicate that these techniques could identify ocular deviation with high accuracy and efficiency. The proposed system can be applied in small space and has high tolerance for the unexpected head movements compared with other camera-based system.
斜视是一种眼球运动障碍,表现为眼位异常。遮盖试验主要用于斜视的临床诊断和治疗。然而,整个过程依赖于医生的经验水平,可能受到多种因素的影响。本研究开发了一种使用虚拟现实(VR)设备测量眼偏斜的自动化技术。
使用一个 VR 显示系统,该系统中的屏幕在开和关阶段之间交替显示固定目标,以模拟正常斜视诊断步骤。患者观看特殊设计的 3D 场景,他们的眼睛运动由两个红外(IR)摄像机记录。然后应用基于图像处理的瞳孔跟踪技术来跟踪他们的眼球运动。记录眼球运动后,实施了两种斜视角度估计策略:直接测量和逐步逼近。直接测量考虑眼球直径后将眼球运动转换为斜视角度,而逐步逼近则通过反馈校准过程测量眼偏移量。
对各种斜视患者进行了实验。将结果与医生的测量结果进行比较,结果吻合较好。
结果清楚地表明,这些技术可以非常准确和有效地识别眼偏斜。与其他基于摄像机的系统相比,该系统可以在小空间内应用,并且对头部意外运动具有较高的容忍度。