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Abstract #56680 Published in IGR 16-1
Automated segmentation of retina layer structures on optical coherence tomography
Gao Y; Li Y; Wang L; Zhang MZhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation 2014; 38: 94-97, 101
OBJECTIVE: Using the algorithm on the layered structure of the retina and quantitative analysis of the automatic segmentation technique is the key to the early diagnosis of glaucoma and other retinopathy on optical coherence tomography. Existing methods require high qulity image and have low reliability. This paper used the improved complex nonlinear diffuse filtering and other methods to solve this problem. METHODS: This paper includes algorithm such as automatic threshold, improved complex nonlinear diffusion filtering, morphological operations and peak detection. Use the method for the segmentation of 20 retinal layers images which acquired on the self-builded OCT system, the boundary of inner limiting membrane(ILM), outer nuclear layer(ONL), the photoreceptor segments(IS/ OS) and the RPE_ChCap layer are detected accurately. At last, the photoreceptor layer thickness is measured. RESULTS: The results of segmentation and measurement are good corresponded with expert manual segmentation and measurements, retinal foveal measurements data is consistent with Zeiss Stratus OCT central retinal thickness 212+/-20 micro m. CONCLUSION: The algorithm proposed is prospective applied to clinical diagnosis of retinal diseases.
Classification:
6.9.2.2 Posterior (Part of: 6 Clinical examination methods > 6.9 Computerized image analysis > 6.9.2 Optical coherence tomography)
2.13 Retina and retinal nerve fibre layer (Part of: 2 Anatomical structures in glaucoma)
