• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Image Processing, IET >Vessel-based registration of fundus and optical coherence tomography projection images of retina using a quadratic registration model
【24h】

Vessel-based registration of fundus and optical coherence tomography projection images of retina using a quadratic registration model

机译：使用二次配准模型基于血管的眼底配准和视网膜光学相干断层扫描投影图像

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The new techniques of three-dimensional (3D)-optical coherence tomography (OCT) imaging is very useful for detecting retinal pathologic changes in various diseases and determining retinal thickness `abnormalities'. Fundus colour images have been used for several years for detecting retinal abnormalities too. If the two image modalities were combined, the resulted image would be more informative. The first step to combine these two modalities is to register colour fundus images with an en face representation of OCT. In this study, curvelet transform is used to extract vessels for both modalities. Then the extracted vessels from two modalities are registered together in two stages. At first, images are registered using scaling and translation transformations. Then a quadratic transformation model is assumed between two pairs of images; because retina is imaged as a second-order surface. Twenty-two eyes (17 macular and 5 prepapillary), from random patients, were imaged in this study with Topcon 3D OCT1000 instrument. A new registration error is defined which averages the distance between all the corresponding points in two sets of vessels. Results show that registration error after stage one is 6.01 ± 1.82 pixels and after stage two is 1.02 ± 0.02 pixels.
机译：三维（3D）-光学相干断层扫描（OCT）成像的新技术对于检测各种疾病的视网膜病理变化并确定视网膜厚度“异常”非常有用。眼底彩色图像也已经用于检测视网膜异常已有好几年了。如果将两个图像模态组合在一起，则所得图像将更具参考价值。结合这两种方式的第一步是将彩色眼底图像与OCT的面部代表进行配准。在这项研究中，使用Curvelet变换来提取两种模式的血管。然后，将从两个模态中提取的容器分两个阶段一起注册。首先，使用缩放和平移转换来注册图像。然后在两对图像之间采用二次变换模型。因为视网膜被成像为二阶表面。在这项研究中，使用Topcon 3D OCT1000仪器对来自随机患者的22只眼睛（17个黄斑和5个乳头前）进行了成像。定义了一个新的配准误差，该误差平均了两组血管中所有相应点之间的距离。结果显示，第一阶段后的配准误差为6.01±1.82像素，第二阶段后为1.02±0.02像素。

著录项

  • 来源
    《Image Processing, IET》 |2013年第8期|768-776|共9页
  • 作者

    Golabbakhsh M.; Rabbani H.;

  • 作者单位

    Biomed. Eng. Dept., Isfahan Univ. of Med. Sci., Isfahan, Iran|c|;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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