• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Conference on computer-aided diagnosis >An adaptive 3D region growing algorithm to automatically segment and identify thoracic aorta and its centerline using Computed Tomography Angiography Scans
【24h】

An adaptive 3D region growing algorithm to automatically segment and identify thoracic aorta and its centerline using Computed Tomography Angiography Scans

机译：自适应3D区域生长算法，可使用计算机断层扫描血管造影扫描自动分割和识别胸主动脉及其中心线

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

摘要

Thoracic Aortic Aneurysm (TAA) is a localized swelling of the thoracic aorta. The progressive growth of an aneurysm may eventually cause a rupture if not diagnosed or treated. This necessitates the need for an accurate measurement which in turn calls for the accurate segmentation of the aneurysm regions. Computer Aided Detection (CAD) is a tool to automatically detect and segment the TAA in the Computer tomography angiography (CTA) images. The fundamental major step of developing such a system is to develop a robust method for the detection of main vessel and measuring its diameters. In this paper we propose a novel adaptive method to simultaneously segment the thoracic aorta and to indentify its center line. For this purpose, an adaptive parametric 3D region growing is proposed in which its seed will be automatically selected through the detection of the celiac artery and the parameters of the method will be re-estimated while the region is growing thorough the aorta. At each phase of region growing the initial center line of aorta will also be identified and modified through the process. Thus the proposed method simultaneously detect aorta and identify its centerline. The method has been applied on CT images from 20 patients with good agreement with the visual assessment by two radiologists.
机译：胸主动脉瘤（TAA）是胸主动脉的局部肿胀。如果未诊断或治疗，则动脉瘤的进行性生长可能最终导致破裂。这就需要进行精确的测量，这又需要对动脉瘤区域进行精确的分割。计算机辅助检测（CAD）是一种工具，用于自动检测和分割计算机断层扫描血管造影（CTA）图像中的TAA。开发这种系统的基本主要步骤是开发一种可靠的方法来检测主血管并测量其直径。在本文中，我们提出了一种新颖的自适应方法来同时分割胸主动脉并确定其中心线。为此，提出了一种自适应参数化3D区域生长方法，其中将通过检测腹腔动脉来自动选择其种子，并在该区域穿过主动脉生长时重新估算该方法的参数。在区域生长的每个阶段，主动脉的初始中心线也将通过该过程进行识别和修改。因此，所提出的方法同时检测主动脉并确定其中心线。该方法已应用于20位患者的CT图像，与两名放射科医生的视觉评估结果非常吻合。

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