本文選題：豹紋狀眼底 + 脈絡(luò)膜血管��； 參考：《計(jì)算機(jī)輔助設(shè)計(jì)與圖形學(xué)學(xué)報(bào)》2017年06期

【摘要】：豹紋狀眼底常出現(xiàn)在近視眼與老年性退化的眼底中,它是臨床上診斷視網(wǎng)膜-脈絡(luò)膜病變的重要參考.為了輔助近視眼等疾病的臨床診斷,提出基于脈絡(luò)膜血管提取的盤周豹紋狀眼底自動(dòng)分級(jí)算法.首先根據(jù)所提取的感興趣區(qū)域的直徑將眼底圖尺寸歸一化,以適用于不同分辨率的彩色眼底圖;然后基于主成分分析法對(duì)視盤中心進(jìn)行定位,并以視盤中心為中心將眼底圖分為上、下、鼻和顳4個(gè)象限;再提出描述脈絡(luò)膜血管透見程度的3類特征:紅色通道中的亮度均值、脈絡(luò)膜血管面積比例以及脈絡(luò)膜血管密度,并依次對(duì)4個(gè)象限進(jìn)行特征提取;最后應(yīng)用基于信息增益率的C4.5決策樹算法將每個(gè)象限脈絡(luò)膜血管透見程度分為0~3級(jí),并將4個(gè)象限的分級(jí)結(jié)果累計(jì),將豹紋狀眼底自動(dòng)分為無、輕度、中度和重度4個(gè)級(jí)別.用文中算法測(cè)試了130幅眼底圖,豹紋狀眼底自動(dòng)分級(jí)的平均一致率可達(dá)84.7%;實(shí)驗(yàn)結(jié)果表明,該算法能較有效地實(shí)現(xiàn)豹紋狀眼底的自動(dòng)分級(jí),為診斷與豹紋狀眼底相關(guān)的疾病提供量化描述依據(jù).
[Abstract]:Leopard-like fundus is often found in myopia and senile degenerative fundus. It is an important reference for clinical diagnosis of retina-choroidal lesions. In order to assist the clinical diagnosis of myopia and other diseases, an automatic classification algorithm of peri-disc leopard print fundus was proposed based on choroidal blood vessel extraction. First of all, according to the diameter of the extracted region of interest, the size of the fundus image is normalized to apply to the color fundus image with different resolutions, and then the center of the optic disc is located based on principal component analysis. At the center of the optic disc, the fundus image was divided into four quadrants: upper, lower, nasal and temporal quadrants, and then three types of characteristics were proposed to describe the degree of choroidal vascular penetration: the luminance mean in the red channel, the area ratio of choroidal vessels and the density of choroidal vessels. Finally, the C4.5 decision tree algorithm based on the information gain rate is used to divide the degree of choroidal vascular penetration into 0 and 3 levels, and the grading results of the four quadrants are accumulated. The leopard print fundus is automatically divided into 4 grades: none, mild, moderate and severe. 130 eye fundus images were tested with the algorithm, and the average consistency rate of leopard print fundus automatic classification was 84.7.The experimental results show that the algorithm can effectively realize the automatic classification of leopard print fundus. To provide quantitative description for diagnosis of diseases related to leopard print fundus.
【作者單位】： 北京理工大學(xué)信息與電子學(xué)院;北京同仁醫(yī)院北京市眼科研究所;
【基金】：國家自然科學(xué)基金(81271650)
【分類號(hào)】：R770.4;TP391.41

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本文編號(hào)：1967741