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学科主题临床医学
A "loop" shape descriptor and its application to automated segmentation of airways from CT scans
Pu, Jiantao1,2; Jin, Chenwang1; Yu, Nan1; Qian, Yongqiang1; Wang, Xiaohua3; Meng, Xin4; Guo, Youmin1
关键词Airways Tubular Structure Shape Descriptor Loop Vessels Ct
刊名MEDICAL PHYSICS
2015-06-01
DOI10.1118/1.4921139
42期:6页:3076-3084
收录类别SCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Radiology, Nuclear Medicine & Medical Imaging
研究领域[WOS]Radiology, Nuclear Medicine & Medical Imaging
关键词[WOS]VIRTUAL BRONCHOSCOPY ; IMAGES ; TREES ; RECONSTRUCTION ; EMPHYSEMA ; DISEASE ; OBSTRUCTION ; OBJECTS
英文摘要

Purpose: A novel shape descriptor is presented to aid an automated identification of the airways depicted on computed tomography (CT) images.

Methods: Instead of simplifying the tubular characteristic of the airways as an ideal mathematical cylindrical or circular shape, the proposed "loop" shape descriptor exploits the fact that the cross sections of any tubular structure (regardless of its regularity) always appear as a loop. In implementation, the authors first reconstruct the anatomical structures in volumetric CT as a three-dimensional surface model using the classical marching cubes algorithm. Then, the loop descriptor is applied to locate the airways with a concave loop cross section. To deal with the variation of the airway walls in density as depicted on CT images, a multiple threshold strategy is proposed. A publicly available chest CT database consisting of 20 CT scans, which was designed specifically for evaluating an airway segmentation algorithm, was used for quantitative performance assessment. Measures, including length, branch count, and generations, were computed under the aid of a skeletonization operation.

Results: For the test dataset, the airway length ranged from 64.6 to 429.8 cm, the generation ranged from 7 to 11, and the branch number ranged from 48 to 312. These results were comparable to the performance of the state-of-the-art algorithms validated on the same dataset.

Conclusions: The authors′ quantitative experiment demonstrated the feasibility and reliability of the developed shape descriptor in identifying lung airways. (C) 2015 American Association of Physicists in Medicine.

语种英语
WOS记录号WOS:000356998300033
引用统计
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/53077
专题北京大学第三临床医学院
作者单位1.Peking Univ, Affiliated Hosp 3, Beijing 100029, Peoples R China
2.Xi An Jiao Tong Univ, Dept Radiol, Affiliated Hosp 1, Coll Med, Shaanxi 710061, Peoples R China
3.Univ Pittsburgh, Dept Radiol & Bioengn, Pittsburgh, PA 15213 USA
4.Univ Pittsburgh, Dept Radiol, Pittsburgh, PA 15213 USA
推荐引用方式
GB/T 7714
Pu, Jiantao,Jin, Chenwang,Yu, Nan,et al. A "loop" shape descriptor and its application to automated segmentation of airways from CT scans[J]. MEDICAL PHYSICS,2015,42(6):3076-3084.
APA Pu, Jiantao.,Jin, Chenwang.,Yu, Nan.,Qian, Yongqiang.,Wang, Xiaohua.,...&Guo, Youmin.(2015).A "loop" shape descriptor and its application to automated segmentation of airways from CT scans.MEDICAL PHYSICS,42(6),3076-3084.
MLA Pu, Jiantao,et al."A "loop" shape descriptor and its application to automated segmentation of airways from CT scans".MEDICAL PHYSICS 42.6(2015):3076-3084.
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