【24h】

Advanced navigation tools for virtual bronchoscopy

机译:虚拟支气管镜检查的高级导航工具

获取原文
获取原文并翻译 | 示例

摘要

In the framework of computer-aided diagnosis, pulmonary airway investigation based on multi-detector computerized tomography (MDCT) requires the development of specific tools for data interaction and analysis. The 3D segmentation of the bronchial tree provides radiologists with appropriate examination modalities such as CT bronchography, for a global analysis, or virtual endoscopy, for a local endoluminal diagnosis. Focusing on the latter modality, this paper proposes a set of advanced navigation and investigation tools based on the automatic extraction of the central axis (CA) of the 3D segmented airways. In the case of complex branching structures, such as the bronchial tree, the automatic CA computation is a challenging problem raising several difficulties related to geometry and topology preservation. In this respect, an original approach is presented, combining 3D distance map information and geodesic front propagation in order to accurately detect branching points and to preserve the original 3D topology of the airways, irrespective to both caliber variability with the bronchial order and to bronchial wall irregularities. The CA information is represented as a multi-valued and hierarchic tree structure, making possible automatic trajectory computation between two given points, bronchial caliber estimation in the plane orthogonal to the bronchus axis at a given location, branch indexation, and so on. These applications are illustrated on clinical data including both normal and pathological airway morphologies.
机译:在计算机辅助诊断的框架下,基于多探测器计算机断层扫描(MDCT)的肺气道检查需要开发用于数据交互和分析的特定工具。支气管树的3D分割为放射科医生提供了适当的检查方式,例如CT支气管造影,以进行整体分析,或虚拟内窥镜检查,以进行局部腔内诊断。针对后一种模式,本文基于自动提取3D分段气道的中心轴(CA),提出了一套先进的导航和调查工具。在复杂的分支结构(例如支气管树)的情况下,自动CA计算是一个具有挑战性的问题,增加了与几何和拓扑保存相关的一些困难。在这方面,提出了一种原始方法,将3D距离图信息和测地线前传播相结合,以精确地检测分支点并保留气道的原始3D拓扑结构,而不论口径随支气管阶数和支气管壁的变化而定违规行为。 CA信息表示为多值层次树结构,从而可以在两个给定点之间进行自动轨迹计算,在给定位置正交于支气管轴的平面内进行支气管口径估计,分支索引等。这些应用在包括正常气道和病理气道形态的临床数据中得到了说明。

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