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Automated 3D Segmentation of the Lung Airway Tree Using Gain-Based Region Growing Approach

机译：基于增益区域增长方法的肺气道树自动3D分割

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In diagnosing lung diseases, it is highly desirable to be able to segment the lung into physiological structures, such as the intra-thoracic airway tree and the pulmonary structure. Providing an in-vivo and non-invasive tool for 3D reconstruction of anatomical tree structures such as the bronchial tree from 2D and 3D data acquisitions is a challenging issue for computer vision in medical imaging. Due to the complexity of the tracheobronchial tree, the segmentation task is non trivial. This paper describes a 3D adaptive region growing algorithm incorporating gain calculation for segmenting the primary airway tree using a stack of 2D CT slices. The algorithm uses an entropy-based measure known as information gain as a heuristic for selecting the voxels that are most likely to represent the airway regions.

机译：在诊断肺部疾病中，非常需要能够将肺部分割成生理结构，例如胸腔内气道树和肺部结构。提供用于从2D和3D数据采集中解剖树结构（例如支气管树）的3D重建的体内非侵入性工具对于医学成像中的计算机视觉来说是一个具有挑战性的问题。由于气管支气管树的复杂性，分割任务是不平凡的。本文介绍了一种结合了增益计算的3D自适应区域增长算法，该算法使用一堆2D CT切片来分割主要气道树。该算法使用称为信息增益的基于熵的测度作为启发式方法，以选择最有可能代表气道区域的体素。

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《》|2004年|P.975-982|共8页
会议地点 Saint-Malo(FR)
作者
Harbir Singh; Michael Crawford; John Curtin; Reyer Zwiggelaar;
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作者单位

School of Computing Sciences, University of East Anglia, Norwich NR4 7TJ, England;

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会议组织
原文格式 PDF
正文语种 eng
中图分类信息处理（信息加工）;
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3. Global left ventricular function in cardiac CT. Evaluation of an automated 3D region-growing segmentation algorithm. [J] . Muhlenbruch G, Das M, Hohl C, European radiology . 2006,第5期

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4. Automated 3D Segmentation of the Lung Airway Tree Using Gain-Based Region Growing Approach [C] . Harbir Singh, Michael Crawford, John Curtin, International Conference on Medical Image Computing and Computer-Assisted Intervention . 2004

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Automated 3D Segmentation of the Lung Airway Tree Using Gain-Based Region Growing Approach

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