...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Medical image analysis >Novel and powerful 3D adaptive crisp active contour method applied in the segmentation of CT lung images
【24h】

Novel and powerful 3D adaptive crisp active contour method applied in the segmentation of CT lung images

机译：CT肺图像分割应用中的新颖且强大的3D自适应脆性活性轮廓方法

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 World Health Organization estimates that 300 million people have asthma, 210 million people have Chronic Obstructive Pulmonary Disease (COPD), and, according to WHO, COPD will become the third major cause of death worldwide in 2030. Computational Vision systems are commonly used in pulmonology to address the task of image segmentation, which is essential for accurate medical diagnoses. Segmentation defines the regions of the lungs in CT images of the thorax that must be further analyzed by the system or by a specialist physician. This work proposes a novel and powerful technique named 3D Adaptive Crisp Active Contour Method (3D ACACM) for the segmentation of CT lung images. The method starts with a sphere within the lung to be segmented that is deformed by forces acting on it towards the lung borders. This process is performed iteratively in order to minimize an energy function associated with the 3D deformable model used. In the experimental assessment, the 3D ACACM is compared against three approaches commonly used in this field: the automatic 3D Region Growing, the level-set algorithm based on coherent propagation and the semi-automatic segmentation by an expert using the 3D OsiriX toolbox. When applied to 40 CT scans of the chest the 3D ACACM had an average F-measure of 99.22%, revealing its superiority and competency to segment lungs in CT images. (C) 2016 Elsevier B.V. All rights reserved.
机译：世界卫生组织估计，3亿人哮喘，人们患有慢性阻塞性肺病（COPD），而且，根据世卫组织，COPD将成为2030年全世界的第三个主要死因。计算视觉系统常用于脉动来解决图像分割的任务，这对于准确的医学诊断至关重要。分割定义了胸部CT图像中的肺部区域，必须由系统或专科医生进一步分析。这项工作提出了一种名为3D自适应CRESP主动轮廓方法（3D ACACM）的新颖且强大的技术，用于CT肺图像的分割。该方法从肺部内的球体开始分割，其被作用于肺边界的力变形。迭代地执行该过程，以便最小化与所使用的3D可变形模型相关联的能量函数。在实验评估中，将3D AcAcM与本领域常用的三种方法进行比较：自动3D区域生长，基于相干传播的水平集算法和使用3D Osirix工具箱的专家的半自动分段。当施加到胸部40ct扫描时，3D Acacm平均f测量为99.22％，揭示其在CT图像中肺部的优越性和能力。 （c）2016年Elsevier B.v.保留所有权利。

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