角膜
角膜磨镶术
激光手术
分割
激光矫视
计算机科学
角膜病
图像处理
图像分割
计算机视觉
人工智能
图层(电子)
角膜地形图
生物医学工程
医学
光学
材料科学
眼科
图像(数学)
纳米技术
物理
作者
H. James Deva Koresh,Shanty Chacko
标识
DOI:10.2174/1573405615666181204125406
摘要
Measuring cornea thickness is an essential parameter for patients undergoing refractive Laser-Assisted in SItu Keratomileusis (LASIK) surgeries.This paper describes about the various available imaging and non-imaging methods for identifying cornea thickness and explores the most optimal method for measuring it. Along with the thickness measurement, layer segmentation in the cornea is also an essential parameter for diagnosing and treating eye-related disease and problems. The evaluation supports surgical planning and estimation of the corneal health. After surgery, the thickness estimation and layer segmentation are also necessary for identifying the layer surface disorders.Hence the paper reviews the available image processing techniques for processing the corneal image for thickness measurement and layer segmentation.
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