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

Harbir Singh, Michael Crawford, John Curtin, Reyer Zwiggelaar
2004 Lecture Notes in Computer Science  
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  ...  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.  ...  We have investigated the use of gain heuristic in 3D region growing for extracting the airway tree from a stack of volumetric CT data.  ... 
doi:10.1007/978-3-540-30136-3_118 fatcat:qopgg2x6bbehxhqqp3tz3gcn5e

Lung structure phenotype variation in inbred mouse strains revealed through in vivo micro-CT imaging

Jacqueline Thiesse, Eman Namati, Jessica C. Sieren, Amanda R. Smith, Joseph M. Reinhardt, Eric A. Hoffman, Geoffrey McLennan
2010 Journal of applied physiology  
Lung structure phenotype variation in inbred mouse strains revealed through in vivo micro-CT imaging. J Appl Physiol  ...  GRANTS This project was supported in part through an National Institutes of Health shared instrumentation Grant S1RR019242 and National Heart, Lung, and Blood Institute HL-080285.  ...  DISCLOSURES No conflicts of interest, financial or otherwise, are declared by the authors.  ... 
doi:10.1152/japplphysiol.01322.2009 pmid:20671036 pmcid:PMC3006419 fatcat:otqqjaydd5fczh2oiiuxfzm3ou

Segmental Bronchial Diameter Measurement at Inspiration-Expiration Phase by Low-dose MSCT in Healthy Volunteers

Li He, Qingyun Ren, Zhai Liu
2019 International Journal of Biomedical Materials Research  
All CT scans were performed within the range from the lung apices to the diaphragm, at a tube potential of 120kVp and an effective mAs of 60.  ...  Results: 378 segmental branches in the lower lobe of lung from male group and 234 from female group were shown using the low-dose multi-slice spiral CT (MSCT) scan.  ...  Currently, the size and lumen area of bronchus can be measured in vivo through CT images.  ... 
doi:10.11648/j.ijbmr.20190702.12 fatcat:hnuixetldzcqjjilgydgz76vfe

Automatic Centerline Extraction for 3D Virtual Bronchoscopy [chapter]

Tsui Ying Law, Pheng Ann Heng
2000 Lecture Notes in Computer Science  
Next, it extracts the end points of the lung airway tips from the binary tree.  ...  Our algorithm is tested with various CT image data and its performance is encouraging.  ...  The algorithm is applied to real 3D CT images and experimental results have been given to demonstrate its ability to extract bronchus area and the result is satisfactory. We can extract the bronchus.  ... 
doi:10.1007/978-3-540-40899-4_81 fatcat:zqnorzj42jfgfkyap3yjfjneaa

Virtual Endoscopy

Kensaku Mori
2001 Journal of Computer Aided Diagnosis of Medical Images  
Radiology, 193(P) (RSNA Scientific Program): 261, 1994. [3] K.Mori, J.Hasegawa, J.Toriwaki et al: Extraction and visualization of bronchus from 3D CT images of lung.  ...  Lecture Notes in Computer Science, 905: 277-281, 1995. [5] G.Rubin, C.Beaulieu, V.Argiro, et al: Perspective volume rendering of CT and MR images: applications for endoscopic imaging.  ... 
doi:10.11313/cadm.5.53 fatcat:qadu6acs4fgx7grv6yxquc2iwu

Fully Automated System for Three-Dimensional Bronchial Morphology Analysis Using Volumetric Multidetector Computed Tomography of the Chest

Raman Venkatraman, Raghav Raman, Bhargav Raman, Richard B. Moss, Geoffrey D. Rubin, Lawrence H. Mathers, Terry E. Robinson
2005 Journal of digital imaging  
database archiving of the bronchial morphology in high resolution and volumetric CT scans and also allows 3D localization, visualization, and registration.  ...  Recent advancements in computed tomography (CT) have enabled quantitative assessment of severity and progression of large airway damage in chronic pulmonary disease.  ...  ACKNOWLEDGMENTS We would like to thank Aysin Turan, MD, Xiaorong Chen, MS, and Akbar Dastagir, MD, for help in processing patient datasets and for data management and statistical analysis.  ... 
doi:10.1007/s10278-005-9240-0 pmid:16341571 pmcid:PMC3045191 fatcat:2glzfqkx4vhg7ejxogefjhwvxy

From lung images to lung models: A review

S. L. A. Lee, A. Z. Kouzani, E. J. Hu
2008 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)  
Automated 3D lung modeling involves analyzing 2D lung images and reconstructing a realistic 3D model of the lung.  ...  This paper presents a review of the existing works on automatic formation of 3D lung models from 2D lung images. A common framework for 3D lung modeling is proposed.  ...  ACKNOWLEDGMENT The support of the Victorian Partnership for Advanced Computing (VPAC) lUlder an e-Research Program Grants Scheme is gratefully acknowledged  ... 
doi:10.1109/ijcnn.2008.4634128 dblp:conf/ijcnn/LeeKH08 fatcat:74rnkdvoo5cxhmopimvz7kdwtu

Investigation of airways using MDCT for visual and quantitative assessment in COPD patients

Philippe Grenier
2008 International Journal of COPD  
of the submucous glands, tracheobronchomalacia, and expiratory air trapping.  ...  This technique can become important in longitudinal studies of the pathogenesis of COPD, and in the assessment of therapeutic interventions.  ...  Measurements calculated as the average value from 10 successive cross-section images of the bronchus have proven to be more reproducible between two different CT acquisitions than measurements made on  ... 
doi:10.2147/copd.s2302 fatcat:57v4iy46tjenfjilg4b6xko3g4

Investigation of airways using MDCT for visual and quantitative assessment in COPD patients

Pierre-Yves Brillet, Catalin I Fetita, Amaury Saragaglia, Anne-Laure Brun, Catherine Beigelman-Aubry, Françoise Prêteux, Philippe A Grenier
2008 International Journal of COPD  
This technique can become important in longitudinal studies of the pathogenesis of COPD, and in the assessment of therapeutic interventions.  ...  New software developed to segment adequately the lumen and walls of the airways on MDCT scans allows quantitative assessment of the airway dimensions which has shown to be reliable in clinical practice  ...  Measurements calculated as the average value from 10 successive cross-section images of the bronchus have proven to be more reproducible between two different CT acquisitions than measurements made on  ... 
pmid:18488432 pmcid:PMC2528203 fatcat:kdh3kgavkjblninhrlcfgzateq

Computer-aided analysis of airway trees in micro-CT scans of ex vivo porcine lung tissue

Christian Bauer, Ryan Adam, David A. Stoltz, Reinhard R. Beichel
2012 Computerized Medical Imaging and Graphics  
We present a highly-automated approach to obtain detailed structural models of airway trees from ex-vivo porcine lung tissue imaged with a high resolution micro-CT scanner.  ...  The method was evaluated on 12 micro-CT scans from four tracheal lobes of piglets imaged at three different inflation levels.  ...  This work was supported in part by NIH grants HL111453, HL091842 and HL051670. David A. Stoltz is supported by the Gilead Sciences Research Scholars Program in Cystic Fibrosis.  ... 
doi:10.1016/j.compmedimag.2012.08.001 pmid:22959430 pmcid:PMC3867272 fatcat:flqcteu5sffr7pd6bjp2wgz4xi

A System for Computer Aided Detection of Diseases Patterns in High Resolution CT Images of the Lungs

T. Zrimec, S. Busayarat
2007 Computer-Based Medical Systems (CBMS), Proceedings of the IEEE Symposium on  
Anatomical features and landmarks are first extracted from the images.  ...  Automated image analysis can be assisted by incorporating into a program information and knowledge that is available to radiologists.  ...  Acknowledgements We thank Peter Wilson for his medical knowledge and assistance, James Wong and Jonathan Creenaune for helping with the implementation, Claude Sammut for his comments on the paper.  ... 
doi:10.1109/cbms.2007.13 dblp:conf/cbms/ZrimecB07 fatcat:xrxfwz75kfcbrivekmxxyhujdq

Segmentation of the Airway Tree from Chest CT using Tiny Atrous Convolutional Network

Guohua Cheng, Xiaoming Wu, Wending Xiang, Chuan Guo, Hongli Ji, Linyang He
2021 IEEE Access  
INDEX TERMS Airway classification, convolutional neural network, deep learning, semantic segmentation, CT, medical image.  ...  In order to take into account the multi-scale changes of the airway and achieve accurate airway segmentation, we design an end-to-end Tiny Atrous Convolutional Network (TACNet) based on 3D convolution  ...  [32] presented a method for fully automated extraction of airways from volumetric computed tomography (CT) images based on a self-adapting region growing process.  ... 
doi:10.1109/access.2021.3059680 fatcat:g55kciuonjfu3is75zyv4546oq

Automatic Detection and Staging of Lung Tumors using Locational Features and Double-Staged Classifications

May Phu Paing, Kazuhiko Hamamoto, Supan Tungjitkusolmun, Chuchart Pintavirooj
2019 Applied Sciences  
This paper presents a computer-aided diagnosis (CAD) method for detecting and staging lung cancer from computed tomography (CT) images.  ...  In the second, the tumor nodules inside the lungs are detected using some extracted features from the segmented tumor candidates.  ...  We would also like to thank The Cancer Imaging Archive (TCIA) for publically sharing the CT scan images and clinical data which were applied in our experiments.  ... 
doi:10.3390/app9112329 fatcat:dw32frowfvcmvk6vmp45nnhk6q

Use of micro-CT to determine tracheobronchial airway geometries in three strains of mice used in inhalation toxicology as disease models

Michael J Oldham, Francesco Lucci, Clement Foong, Demetrius Yeo, Bahman Asgharian, Steve Cockram, Stephen Luke, Joanne Chua, Julia Hoeng, Manual C Peitsch, Arkadiusz K Kuczaj
2021 The Anatomical Record  
By using micro-CT scans of in-situ prepared lung casts, tracheobronchial airway morphometry for four strains of mice were obtained: Balb/c; AJ; C57BL/6; and Apoe-/- .  ...  data derived from two identical in-situ Balb/c mouse lung casts.  ...  ACKNOWLEDGMENTS This study was funded by Philip Morris International, Altria Client Services LLC, and Oldham Associates LLC. ORCID Francesco Lucci Arkadiusz K.  ... 
doi:10.1002/ar.24596 pmid:33554477 pmcid:PMC8451890 fatcat:ihrnzcjwkvhbnjk2oysfrmqpgu

Paediatric multi-detector row chest CT: what you really need to know

Carolyn Young, Cheng Xie, Catherine M. Owens
2012 Insights into Imaging  
The emergence of multi-detector row CT (MDCT) has established and extended the role of CT especially in paediatric chest imaging.  ...  The range of available post-processing tools provide alternative ways in which CT images can be manipulated for review and interpretation in order to enhance diagnostic accuracy.  ...  The pig bronchus is clearly demonstrated on coronal MPR image (c) and on the CT bronchogram image (d). Note also the widened carina angle.  ... 
doi:10.1007/s13244-012-0152-5 pmid:22696085 pmcid:PMC3369117 fatcat:re3brh76hrbmjgv4q24fnxgblm
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