The contact specular microscope has a wider angle of view than that of the non-contact specular microscope but still cannot capture an image of the entire cornea. To obtain such an image, it is necessary to prepare film on the parts of the image captured sequentially and combine them to create a complete image. This study proposes a framework to automatically generate an entire corneal image from videos captured using a contact specular microscope. Relatively focused images were extracted from the videos and panoramic compositing was performed. If an entire image can be generated, it is possible to detect guttae from the image and examine the extent of their presence. The system was implemented and the effectiveness of the proposed framework was examined. The system was implemented using custom-made composite software, Image Composite Software (ICS, K.I. Technology Co., Ltd., Japan, internal algorithms not disclosed), and a supervised learning model using U-Net was used for guttae detection. Several images were correctly synthesized when the constructed system was applied to 94 different corneal videos obtained from Fuchs endothelial corneal dystrophy (FECD) mouse model. The implementation and application of the method to the data in this study confirmed its effectiveness. Owing to the minimal quantitative evaluation performed, such as accuracy with implementation, it may pose some limitations for future investigations.
翻译:接触光谱显微镜的视角比非接触显微镜的视角更广,但是仍然无法捕捉整个角形的图像。 要获得这样的图像, 就必须在连续拍摄的图像部分上制作胶片, 并结合它们来创建完整的图像。 本研究提出了一个框架, 以自动生成使用接触显微镜拍摄的视频拍摄的全部角形图像。 从视频中提取了相对集中的图像, 并进行了全方位组合。 如果能够生成整个图像, 可以从图像中探测直角, 并检查其存在的程度。 系统已经实施, 并检查了拟议框架的有效性。 系统的实施使用了定制的复合软件、 图像合成软件( ICS, K. I. Technology Co., Ltd., 日本, 内部算法没有披露 ), 使用U- Net 监督的学习模型进行直流体探测。 在对从Fuchs 直角形镜中获取的94种玉米图象进行了正确合成。 系统已经安装了系统, 并且已经测试了该系统的精确性应用, 并进行了最起码的定量的研究, 。