CAJ | 학술논문

目的利用算法实现对视网膜层状结构的自动分割及定量分析是光学相干层析成像技术应用于青光眼及视网膜病变早期诊断的关键。现存处理方法对图像质量要求较高且可靠性不高。该文拟利用改进的非线性复合扩散滤波等方法解决这个问题。方法首先对自主搭建的OCT系统获得的20幅视网膜图像，通过自动阈值、改进的非线性复合扩散滤波、形态学操作、峰值探测等综合算法，进行分割，比较准确的分割出内界膜（ILM）、外核层（ONL）、内节层和外节层（IS/OS）以及视网膜色素上皮与脉络膜层（RPE_ChCap）边界，最后测量得到视网膜的厚度。结果本算法对视网膜的分割与专家手动测量有较好的一致性，视网膜中心凹测量结果与Zeiss Stratus OCT视网膜中心厚度212±20μm数据一致。结论该文提出的算法有希望应用于临床视网膜疾病的诊断。
목적이용산법실현대시망막층상결구적자동분할급정량분석시광학상간층석성상기술응용우청광안급시망막병변조기진단적관건。현존처리방법대도상질량요구교고차가고성불고。해문의이용개진적비선성복합확산려파등방법해결저개문제。방법수선대자주탑건적OCT계통획득적20폭시망막도상，통과자동역치、개진적비선성복합확산려파、형태학조작、봉치탐측등종합산법，진행분할，비교준학적분할출내계막（ILM）、외핵층（ONL）、내절층화외절층（IS/OS）이급시망막색소상피여맥락막층（RPE_ChCap）변계，최후측량득도시망막적후도。결과본산법대시망막적분할여전가수동측량유교호적일치성，시망막중심요측량결과여Zeiss Stratus OCT시망막중심후도212±20μm수거일치。결론해문제출적산법유희망응용우림상시망막질병적진단。
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±20μm. Conclusion The algorithm proposed is prospective applied to clinical diagnosis of retinal diseases.