Diagnose von Augenerkrankungen auf der Basis eines neuartigenfunktionellen parallelen Video-Ophthalmoskops.

基于新型功能并行视频检眼镜的眼部疾病诊断

• 批准号: 285882518
• 负责人: Dr.-Ing. Ralf-Peter Tornow
• 金额: --
• 依托单位: Augenklinik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2016
• 资助国家: 德国
• 起止时间: 2015-12-31 至 2018-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/285882518?language=en
• 关键词: Diagnose; von; Augenerkrankungen; auf; der

The main aim of this project is to evaluate the glaucomadiscrimination performance of new parameters that can be measuredusing a unique video ophthalmoscope. The outstandingcharacteristics of the video ophthalmoscope are: optic design for nonmydriaticfast video acquisition with visible light, low light level forunlimited application time, specially selected two wavelengthillumination to assess optic nerve head color and to compensatechanging illumination, integrated fixation target to stabilize fixation,integrated flicker light source for functional imaging, and small size touse two ophthalmoscopes to measure both eyes simultaneously. Thefollowing parameters can be calculated from acquired short videosequences (about 10 s) of both eyes: Cardiac cycle induced reflectionchanges (amplitude, rise time, time shift between sides), optic nervehead color, and vessel parameters. After flicker light illumination,changes of parameters (amount of change, response time) can alsobe measured. For the first time, it is possible to compare parametersand flicker light induced changes of parameters of both sides withhigh temporal resolution of about 40 ms. The measurements will beintegrated in the work flow of the Erlangen Glaucoma Registry(Department of Ophthalmology), a clinical registry for cross sectionaland longitudinal observation of patients with open angle glaucoma(OAG) or glaucoma suspects. Results of patients will be compared tonormal values and parameters of established clinical methods suchas intra ocular pressure, perimetric sensitivity, and retinal nerve fiberlayer thickness. Results in normal subjects and patients will be usedto find new parameters or combinations of parameters that allow anearlier detection of beginning glaucoma compared to establishedmethods. This is a joint project of the Department of Ophthalmology ofthe Friedrich-Alexander University Erlangen-Nuremberg and the BrnoUniversity of Technology, Department of Biomedical Engineering,Czech Republic. In this joint project, the Czech group is responsiblefor software development for fast data acquisition, image processingand image analysis. The Erlangen group is responsible for thedevelopment of the functional two color parallel videoophthalmoscope, the clinical evaluation of the different applicationsand the analysis and interpretation of the results. We hypothesize thatthese dynamic and functional characteristics and derived parametersrecorded using the unique video ophthalmoscope will help to detectglaucoma in its very early stage, which will have a direct impact ontreatment as well as treatment cost reduction and quality of life of thepatients. New fast and easy to use methods are important for theearly detection of glaucoma because it was shown that despiteimproved diagnostic and therapeutic advancements a significantproportion of patients still progress to blindness, often due to latediagnosis.

该项目的主要目的是评估新参数的glaucomadissiscination性能，可以通过唯一的视频眼镜来测量这些性能。视频眼镜镜的出色示意图是：具有可见光的非乳脂快速视频获取的理想设计同时眼睛。可以根据获得的短视频标语（约10 s）计算出遵循的参数：心脏循环诱导的反射年份（振幅，上升时间，侧面之间的时间移动），视神经头颜色和容器参数。闪烁光照射后，可以测量参数的变化（变化量，响应时间）。首次可以比较参数和闪烁的光引起的双方参数的变化，即降低时间分辨率约40 ms。测量结果将在Erlangen青光眼注册中的工作流程（眼科系），横截面和纵向观察的临床注册中，对具有开角青光眼（OAG）或青光眼嫌疑人的纵向观察。将比较患者的构态值和已建立临床方法的参数，例如眼内压力，周期敏感性和视网膜神经纤维纤维厚度。与已建立的方法相比，将使用正常受试者和患者找到新参数或参数的组合，这些参数允许对开始青光眼的检测。这是弗里德里希 - 亚历山大大学Erlangen-Nurember的眼科系的联合项目，以及捷克共和国生物医学工程系技术部的BRNONIVERSITY。在这个联合项目中，捷克集团负责快速数据获取，图像处理和图像分析的软件开发。 ERLANGEN组负责功能性两种颜色平行视频摄影仪的开发，对不同应用的临床评估以及结果的分析和解释。我们假设这些动态和功能特征和使用独特的视频眼镜镜进行了录制的参数将有助于在其早期阶段检测到glaucoma，这将直接影响治疗以及治疗成本降低和患者的生活质量。新的快速和易于使用的方法对于对青光眼检测至关重要，因为这表明尽管诊断和治疗性进步得到了改善，但通常由于诊断诊断而导致的大量患者仍然会发展为失明。

项目成果

Blind Source Separation of Different Retinal Pulsatile Patterns from Simultaneous Long-term Binocular Ophthalmoscopic Video-records

从同时长期双眼检眼镜视频记录中盲源分离不同的视网膜搏动模式

• DOI: 10.1109/embc.2019.8857560
• 发表时间: 2019
• 期刊: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
• 作者: I. Labounkova;R. Labounek;J. Odstrcilik;M. Hracho;I. Nestrasil;R. P. Tornow;R. Kolar
• 通讯作者: R. Kolar

Detection of distorted frames in retinal video-sequences via machine learning

通过机器学习检测视网膜视频序列中的扭曲帧

• DOI: 10.1117/12.2284172
• 发表时间: 2017
• 作者: R. Kolar;I. Liberdova;J. Odstrcilik;M. Hracho;R. P. Tornow
• 通讯作者: R. P. Tornow

Binocular video ophthalmoscope for simultaneous recording of sequences of the human retina to compare dynamic parameters

双目视频检眼镜可同时记录人类视网膜序列以比较动态参数

• DOI: 10.1117/12.2282898
• 发表时间: 2017
• 作者: R. P. Tornow;A. Milczarek;J. Odstrcilik;R. Kolar
• 通讯作者: R. Kolar