• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Biomedical Engineering and Technology >A Comparative Study of Retinal Vasculature Extraction in Digital Fundus Images
【24h】

A Comparative Study of Retinal Vasculature Extraction in Digital Fundus Images

机译：数字眼底图像中视网膜脉管系统提取的比较研究

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Some of the most common blinding conditions are caused by choroidal neovascularization (CNV). The relevant conditions include diabetic retinopathy and age-related macular degeneration. At present, the only proven modality of effective treatment is the application of laser energy to the CNV to cauterize the vessels. The key to effective and lasting treatment is the identification of the full extent of the CNV, complete cauterization of the CNV by accurately aiming an appropriate amount of optical energy while ensuring that healthy tissue is not cauterized. Extraction techniques must be developed to discern the retinal blood vessels tree and determine the positions of laser shots in a reference frame. This paper presents an efficient comparison of different methods to segment blood vessels, which is a prominent anatomical structure in retina, in both gray-scale and color retinal images. The blood vessel extraction is composed of six algorithms according to two criteria, i.e., Extraction of the blood vessel boundaries (using Difference operators, Decision based-directional edge detection, Morphological gradient and Deformable model algorithm) & Extraction of the core area of the blood vessel tree by tracing vessels centers (using 2-dimensional matching filters and Morphological reconstruction algorithm). Results on various retinal images verify the effectiveness of the proposed methods.
机译：一些最常见的致盲情况是由脉络膜新血管形成（CNV）引起的。相关病症包括糖尿病性视网膜病和与年龄有关的黄斑变性。目前，有效治疗的唯一被证实的方式是将激光能量施加于CNV烧灼血管。有效和持久治疗的关键是识别CNV的全部范围，通过准确瞄准适当量的光能，同时确保不对健康组织进行烧灼，对CNV进行完全烧灼。必须开发提取技术以辨别视网膜血管树并确定参考框架中激光照射的位置。本文对灰度和彩色视网膜图像中不同方法分割血管的有效方法进行了比较，血管是视网膜的重要解剖结构。根据两个标准，血管提取由六种算法组成，即血管边界的提取（使用差分算子，基于决策的方向边缘检测，形态学梯度和可变形模型算法）以及血液核心区域的提取通过跟踪血管中心（使用二维匹配过滤器和形态重建算法）来绘制血管树。在各种视网膜图像上的结果证明了所提出方法的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号