Literature DB >> 18589408

Correction of segmented lung boundary for inclusion of pleural nodules and pulmonary vessels in chest CT images.

Yeny Yim1, Helen Hong.   

Abstract

We propose a new curvature-based method for correcting the segmented lung boundary. Our method consists of the following steps. First, the lungs are extracted from chest CT images by the automatic segmentation method. Second, the segmented lung contours are corrected by lung smoothing in each axial slice. Our scan line search provides an efficient contour tracing and curvature calculation. Finally, the smoothed lung contours are corrected by 3D VOI refinement. This increases the smoothness in the z-axis without distortion of the lung boundary. Experimental results show that our method effectively incorporates the pleural nodules and pulmonary vessels into the segmentation results.

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Year:  2008        PMID: 18589408     DOI: 10.1016/j.compbiomed.2008.04.012

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  8 in total

1.  Multistage segmentation model and SVM-ensemble for precise lung nodule detection.

Authors:  Syed Muhammad Naqi; Muhammad Sharif; Mussarat Yasmin
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-02-28       Impact factor: 2.924

2.  A Method for Lung Boundary Correction Using Split Bregman Method and Geometric Active Contour Model.

Authors:  Changli Feng; Jianxun Zhang; Rui Liang
Journal:  Comput Math Methods Med       Date:  2015-05-18       Impact factor: 2.238

3.  Computer-aided classification of visual ventilation patterns in patients with chronic obstructive pulmonary disease at two-phase xenon-enhanced CT.

Authors:  Soon Ho Yoon; Jin Mo Goo; Julip Jung; Helen Hong; Eun Ah Park; Chang Hyun Lee; Youkyung Lee; Kwang Nam Jin; Ji Yung Choo; Nyoung Keun Lee
Journal:  Korean J Radiol       Date:  2014-04-29       Impact factor: 3.500

4.  Automatic segmentation of anatomical structures from CT scans of thorax for RTP.

Authors:  Emin Emrah Özsavaş; Ziya Telatar; Bahar Dirican; Ömer Sağer; Murat Beyzadeoğlu
Journal:  Comput Math Methods Med       Date:  2014-12-18       Impact factor: 2.238

5.  Automatic Approach for Lung Segmentation with Juxta-Pleural Nodules from Thoracic CT Based on Contour Tracing and Correction.

Authors:  Jinke Wang; Haoyan Guo
Journal:  Comput Math Methods Med       Date:  2016-11-16       Impact factor: 2.238

6.  Many Is Better Than One: An Integration of Multiple Simple Strategies for Accurate Lung Segmentation in CT Images.

Authors:  Zhenghao Shi; Jiejue Ma; Minghua Zhao; Yonghong Liu; Yaning Feng; Ming Zhang; Lifeng He; Kenji Suzuki
Journal:  Biomed Res Int       Date:  2016-08-22       Impact factor: 3.411

7.  Juxta-Vascular Pulmonary Nodule Segmentation in PET-CT Imaging Based on an LBF Active Contour Model with Information Entropy and Joint Vector.

Authors:  Rui Hao; Yan Qiang; Xiaofei Yan
Journal:  Comput Math Methods Med       Date:  2018-01-08       Impact factor: 2.238

8.  Three-stage segmentation of lung region from CT images using deep neural networks.

Authors:  Michael Osadebey; Hilde K Andersen; Dag Waaler; Kristian Fossaa; Anne C T Martinsen; Marius Pedersen
Journal:  BMC Med Imaging       Date:  2021-07-15       Impact factor: 1.930

  8 in total

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