Statistical characterization and segmentation of drusen in fundus images.
Statistical characterization and segmentation of drusen in fundus images.
复制标题
眼底图像中玻璃疣的统计特征和分割。
DOI：
10.1109/iembs.2011.6091540
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Chaum,E
中科院分区：
文献类型：
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作者：
Santos-Villalobos,H;Karnowski,TP;Aykac,D;Giancardo,L;Li,Y;Nichols,T;TobinJr,KW;Chaum,E
年龄相关性黄斑变性（AMD）是一种与衰老相关的视网膜疾病。AMD患者的进展特点是水肿、色素沉着改变和地理萎缩，这可以通过眼底成像看到。AMD的级别以标准的缩放方法为特征，在实践中可能有些主观。在这项工作中，我们提出了一种统计图像处理方法来分割drusen，最终目标是在纵向图像数据集中表征AMD的进展。该方法利用视网膜图像中颜色的统计模型来表征视网膜结构。将该方法对已知AMD级数的纵向图像与不知道AMD级数的纵向图像的分割结果进行比较，该方法在我们的纵向数据集中检测到接收器工作特征曲线下面积为0.99的级数。
Age related Macular Degeneration (AMD) is a disease of the retina associated with aging. AMD progression in patients is characterized by drusen, pigmentation changes, and geographic atrophy, which can be seen using fundus imagery. The level of AMD is characterized by standard scaling methods, which can be somewhat subjective in practice. In this work we propose a statistical image processing approach to segment drusen with the ultimate goal of characterizing the AMD progression in a data set of longitudinal images. The method characterizes retinal structures with a statistical model of the colors in the retina image. When comparing the segmentation results of the method between longitudinal images with known AMD progression and those without, the method detects progression in our longitudinal data set with an area under the receiver operating characteristics curve of 0.99.