【24h】

Automated video tracking of contact lens motion

机译:隐形眼镜运动的自动视频跟踪

获取原文

摘要

Successful extended contact lens wear requires lens motion that provides adequate tear mixing to remove ocular debris. Proper lens motion of rigid contact lenses is also important for proper fitting. Moreover, a factor in final lens comfort and optical quality for contact lens fitting is lens centration. Calculation of the post lens volume of rigid contact lenses at different corneal surface locations can be used to produce a volume map. Such maps often reveal channels of minimum volume in which lenses may be expected to move, or local minima, where lenses may be expected to settle. To evaluate the utility of our volume map technology and evaluate other models of contact lens performance we have developed an automated video-based lens tracking system that provides detailed information about lens translation and rotation. The system uses standard video capture technology with a CCD camera attached to an ophthalmic slit lamp biomicroscope. The subject wears a specially marked contact lens for tracking purposes. Several seconds of video data are collected in real-time as the patient blinks naturally. The data are processed off-line, with the experimenter providing initial location estimates of the pupil and lens marks. The technique provides a fast and accurate method of quantifying lens motion. With better contact lens motion information we will gain a better understanding of the relationships between corneal shapes, lens design parameters, tear mixing, and patient comfort.
机译:成功的延长隐形眼镜磨损需要镜头运动,提供足够的撕裂混合以去除眼部碎片。刚性隐形眼镜的适当镜头运动对于适当的配件也很重要。此外,用于隐形眼镜配件的最终镜头舒适度和光学质量的因素是透镜厘定。在不同角膜表面位置处的刚性隐形眼镜的柱镜片体积的计算可用于产生体积图。这种地图通常揭示最小体积的通道,其中可以预期透镜移动或局部最小值,其中可以预期透镜来定位。为了评估卷映射技术的效用,并评估其他型号的隐形眼镜性能模型,我们开发了一种自动化的基于视频的镜头跟踪系统,提供有关镜头转换和旋转的详细信息。该系统采用标准视频捕获技术,其中CCD相机连接到眼科狭缝灯生物显微镜。主题佩戴特殊标记的隐形眼镜以跟踪目的。当患者自然闪烁时,几秒钟的视频数据被实时收集。数据被处理过,实验者提供瞳孔和镜片标记的初始位置估计。该技术提供了一种快速准确的量化镜头运动方法。具有更好的隐形眼镜电影信息,我们将更好地了解角膜形状,镜头设计参数,撕裂和患者舒适之间的关系。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号