Method for expressing corneal irregularity structure changes based on change consistency parameters of anterior segment tomography technology
A technology of tomographic imaging and structural change, applied in the field of medical detection, can solve problems such as missed diagnosis and atypical changes, and achieve the effect of reducing complexity and improving diagnostic performance
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Embodiment 1
[0028] Application of changing position consistency parameters taking Pentacam anterior segment comprehensive analyzer as an example
[0029] (a) Establish the Pentacam image database of normal subjects and subjects with early irregular keratopathy.
[0030] (b) derive each subject figure 1 Numerical matrix showing the distribution of 5 parameters, including corneal anterior surface curvature, corneal posterior surface curvature cornea, anterior surface height, corneal posterior surface height, and corneal thickness. Use the MATLAB locale to read the matrix and output the extreme values and their coordinate positions (x, y, value) for each distribution.
[0031] (c) Calculate the relative distance based on the above five coordinate positions. The distance expression adopts Euclidean distance (hereinafter referred to as "Euclidean distance"), which represents the straight-line distance between two points in Euclidean space. Its expression is:
[0032]
[0033] where d ...
Embodiment 2
[0038] Application of changing position consistency parameters taking anterior segment OCT system as an example
[0039] (a) Establish the OCT image database of normal subjects and subjects with early irregular keratopathy.
[0040] (b) segment the OCT image, figure 2 Introducing the main layers of the SD-OCT anterior segment corneal image, red boundary: cornea / epithelial layer anterior surface, blue boundary: corneal epithelial basal layer / pre-bowman's membrane anterior surface, yellow boundary: pre-bowman's membrane posterior surface / corneal stromal layer anterior Surface, green border: corneal endothelium / posterior corneal surface.
[0041] (c) Using automatic segmentation software based on the MATLAB language environment ( image 3 ), automatically detect the above-mentioned corneal layers, and allow manual inspection and correction. Then surface correction is performed on the segmentation level, registration and reconstruction are performed, and the corresponding pixe...
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