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Graph-Based Airway Tree Reconstruction From Chest CT Scans: Evaluation of Different Features on Five Cohorts

Christian Bauer, Michael Eberlein, Reinhard R. Beichel
2015 IEEE Transactions on Medical Imaging  
We present a graph-based framework for airway tree reconstruction from CT scans and evaluate the performance of different feature categories and their combinations on five lung cohorts.  ...  The performance of the algorithm with different feature categories and their combinations was assessed on a set of 50 lung CT scans from five different cohorts, including normal and diseased lungs.  ...  Pechin Lo for providing evaluation results on the EXACT'09 data sets. The authors are grateful to Dr. Eric Hoffman at the University of Iowa for providing image data sets.  ... 
doi:10.1109/tmi.2014.2374615 pmid:25438305 pmcid:PMC4417425 fatcat:amwnvlxsk5c3tgtl66e7rkoa3i

Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study

Rina D. Rudyanto, Sjoerd Kerkstra, Eva M. van Rikxoort, Catalin Fetita, Pierre-Yves Brillet, Christophe Lefevre, Wenzhe Xue, Xiangjun Zhu, Jianming Liang, İlkay Öksüz, Devrim Ünay, Kamuran Kadipaşaogˇlu (+36 others)
2014 Medical Image Analysis  
Our three contributions are: (1) an annotated reference dataset available online for evaluation of new algorithms; (2) a quantitative scoring system for objective comparison of algorithms; and (3) performance  ...  analysis of the strengths and weaknesses of the various vessel segmentation methods in the presence of various lung diseases.  ...  -CT with intravenous contrast; each with their own scanning parameters and reconstruction kernels.  ... 
doi:10.1016/j.media.2014.07.003 pmid:25113321 pmcid:PMC5153359 fatcat:w5frt2g2rjgepjthnnciba444a

Pulmonary Artery-Vein Classification in CT Images Using Deep Learning

Pietro Nardelli, Daniel Jimenez-Carretero, David Bermejo-Pelaez, George R. Washko, Farbod N. Rahaghi, Maria J. Ledesma-Carbayo, Raul San Jose Estepar
2018 IEEE Transactions on Medical Imaging  
The methodology was trained and evaluated on the superior and inferior lobes of the right lung of eighteen clinical cases with non-contrast chest CT scans, in comparison with manual classification.  ...  To detect changes in the two vascular trees, physicians manually analyze the chest computed tomography (CT) image of the patients in search of abnormalities.  ...  Acknowledgments This work has been supported by the National Institute of Health NHLBI grants 1R01HL116931 and R01HL116473 and Spanish Ministry of Economy and Competetitiveness project TEC-2013-48251-C2  ... 
doi:10.1109/tmi.2018.2833385 pmid:29993996 pmcid:PMC6214740 fatcat:5xypq4jcjndphfphfo52caj3rq

Chest CT abnormalities and quality of life: relationship in adult cystic fibrosis

Aoife Kilcoyne, Lisa P. Lavelle, Colin J. McCarthy, Sinead H. McEvoy, Hannah Fleming, Annika Gallagher, Martine Loeve, Harm Tiddens, Edward McKone, Charles C. Gallagher, Jonathan D. Dodd
2016 Annals of Translational Medicine  
To evaluate the relationship between lung parenchymal abnormalities on chest CT and healthrelated quality of life in adult cystic fibrosis (CF).  ...  Several chest CT abnormalities excluded traditional measures such as FEV 1 and BMI from the majority of CFQ-R domains.  ...  Footnote Conflicts of Interest: The authors have no conflicts of interest to declare.  ... 
doi:10.21037/atm.2016.03.08 pmid:27047946 pmcid:PMC4791339 fatcat:z3lwgaoffnbd5jkvkxamdoaguq

Relationships Between Airflow Obstruction and Quantitative CT Measurements of Emphysema, Air Trapping, and Airways in Subjects With and Without Chronic Obstructive Pulmonary Disease

Joyce D. Schroeder, Alexander S. McKenzie, Jordan A. Zach, Carla G. Wilson, Douglas Curran-Everett, Douglas S. Stinson, John D. Newell, David A. Lynch
2013 American Journal of Roentgenology  
MATERIALS AND METHODS-Inspiratory and expiratory CT scans of 4062 subjects in the Genetic Epidemiology of COPD (COPDGene) Study were evaluated.  ...  areas ≤ −856 HU on expiratory CT, which we refer to as "LAA-856 E "; and the inner diameter, inner and outer areas, wall area, airway wall thickness, and square root of the wall area of a hypothetical  ...  Additionally, we are grateful for assistance from James Crapo and Edwin Silverman and from the COPDGene Investigators.  ... 
doi:10.2214/ajr.12.10102 pmid:23971478 pmcid:PMC4067052 fatcat:5tubkx6mqbdivi66uduw5av42m

Artificial Intelligence in COPD: New Venues to Study a Complex Disease

Raúl San José Estépar
2020 Barcelona Respiratory Network  
Finally, we will discuss some of the opportunities, challenges, and limitations for AI applications in the context of COPD.  ...  Chronic obstructive pulmonary disease (COPD) is a complex and heterogeneous disease that can benefit from novel approaches to understanding its evolution and divergent trajectories.  ...  Also, robust airway tree reconstruction has facilitated the postulation of novel phenotypes of airways disease based on tree fractality measurements that aim to detect the tree simplification and the small  ... 
doi:10.23866/brnrev:2019-0014 pmid:33521399 pmcid:PMC7842269 fatcat:f4vtut2ckvfxvnn7uvcamwhy5a

Evaluation of automated airway morphological quantification for assessing fibrosing lung disease [article]

Ashkan Pakzad, Wing Keung Cheung, Kin Quan, Nesrin Mogulkoc, Coline H.M. Van Moorsel, Brian J. Bartholmai, Hendrik W. Van Es, Alper Ezircan, Frouke Van Beek, Marcel Veltkamp, Ronald Karwoski, Tobias Peikert (+12 others)
2021 arXiv   pre-print
airway structural measures from chest CT.  ...  We propose AirQuant, an automated computational pipeline that systematically parcellates the airway tree into its lobes and generational branches from a deep learning based airway segmentation, deriving  ...  Bronchiectasis is typically evaluated by a radiologist following visual inspection of a chest CT scan.  ... 
arXiv:2111.10443v1 fatcat:xawxatgajrf7fffd3ibtgazipa

State of the Art. A Structural and Functional Assessment of the Lung via Multidetector-Row Computed Tomography: Phenotyping Chronic Obstructive Pulmonary Disease

E. A. Hoffman
2006 Proceedings of the American Thoracic Society online  
With advances in multidetector-row computed tomography (MDCT), it is now possible to image the lung in 10 s or less and accurately extract the lungs, lobes, and airway tree to the fifth-through seventh-generation  ...  This article outlines the application of these methodologies with specific emphasis on chronic obstructive pulmonary disease.  ...  Figure 3 . 3 Demonstration of the ability to extract a detailed airway tree from computed tomography (CT) scans of a patient with significant mixed-lung pathology.  ... 
doi:10.1513/pats.200603-086ms pmid:16921136 pmcid:PMC2647643 fatcat:zuwbnwxrsfe6rk5eb3xdefrrf4

Functional and computed tomographic evolution and survival of restrictive allograft syndrome after lung transplantation

Stijn E. Verleden, Pim A. de Jong, David Ruttens, Elly Vandermeulen, Dirk E. van Raemdonck, Johny Verschakelen, Bart M. Vanaudenaerde, Geert M. Verleden, Robin Vos
2014 The Journal of Heart and Lung Transplantation  
CT scans in the pre-CLAD, CLAD, post-CLAD and late-CLAD stadium were systematically evaluated by a blinded observer using a semi-quantitative scoring system.  ...  Conclusion: In the early stages of RAS, central and peripheral ground glass opacities are the most prominent feature on CT, while in later stages bronchiectasis, traction, central and peripheral consolidation  ...  Twelve of 23 pre-CLAD CT scans did not show any abnormalities based on all evaluated parameters.  ... 
doi:10.1016/j.healun.2013.12.011 pmid:24461432 fatcat:begdwcf7bje4taobgywzqiipvm

How AI Can Help in the Diagnostic Dilemma of Pulmonary Nodules

Dalia Fahmy, Heba Kandil, Adel Khelifi, Maha Yaghi, Mohammed Ghazal, Ahmed Sharafeldeen, Ali Mahmoud, Ayman El-Baz
2022 Cancers  
Pulmonary nodules are the precursors of bronchogenic carcinoma, its early detection facilitates early treatment which save a lot of lives.  ...  Unfortunately, pulmonary nodule detection and classification are liable to subjective variations with high rate of missing small cancerous lesions which opens the way for implementation of artificial intelligence  ...  Sousa et al. [67] Hybrid deep learning model, consisted of U-Net [68] and ResNet-34 [69] architectures. 385 CT patients, collected from five different datasets.  ... 
doi:10.3390/cancers14071840 pmid:35406614 pmcid:PMC8997734 fatcat:medr2q3kmncq3bsbziqfsmvthm

Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future

David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson
2021 Sensors  
In this survey, we thoroughly review the different types of graph architectures and their applications in healthcare.  ...  We provide an overview of these methods in a systematic manner, organized by their domain of application including functional connectivity, anatomical structure, and electrical-based analysis.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21144758 fatcat:jytyt4u2pjgvhnhcto3vcvd3a4

A Handcrafted Radiomics-Based Model for the Diagnosis of Usual Interstitial Pneumonia in Patients with Idiopathic Pulmonary Fibrosis

Turkey Refaee, Benjamin Bondue, Gaetan Van Simaeys, Guangyao Wu, Chenggong Yan, Henry Woodruff, Serge Goldman, Philippe Lambin
2022 Journal of Personalized Medicine  
We hypothesized that a CT-based approach using handcrafted radiomics might be able to identify IPF patients with a radiological or histological UIP pattern from those with an ILD or normal lungs.  ...  A total of 328 patients from one center and two databases participated in this study. Each participant had their lungs automatically contoured and sectorized.  ...  Secondly, the healthy CT scans (G4) were obtained only from one center (center iii).  ... 
doi:10.3390/jpm12030373 pmid:35330373 pmcid:PMC8948773 fatcat:4lhparvmrbamrdkh32vorjrapa

Dataset on the identification of a prognostic radio-immune signature in surgically resected Non Small Cell Lung Cancer

Giulia Mazzaschi, Gianluca Milanese, Paolo Pagano, Denise Madeddu, Letizia Gnetti, Francesca Trentini, Angela Falco, Caterina Frati, Bruno Lorusso, Costanza Lagrasta, Roberta Minari, Luca Ampollini (+5 others)
2020 Data in Brief  
, CT-SFs) and quantitative (radiomic, CT-RFs) features in a cohort of 60 surgically resected NSCLC.  ...  The renowned characterization of TIME, essentially based on the score evaluation of Programme Death Ligand-1 (PD-L1) and Tumor Infiltrating Lymphocytes (TILs), was implemented here by the assessment of  ...  Ethic Statement The study was performed following the approval of the Internal Review Board and of the Ethical Committee.  ... 
doi:10.1016/j.dib.2020.105781 pmid:32548224 pmcid:PMC7286984 fatcat:quwcyj4hyjafhmncgmawinlzyi

Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications [article]

Kexin Ding, Mu Zhou, Zichen Wang, Qiao Liu, Corey W. Arnold, Shaoting Zhang, Dimitri N. Metaxas
2022 arXiv   pre-print
The development of graph convolutional networks (GCNs) has created the opportunity to address this information complexity via graph-driven architectures, since GCNs can perform feature aggregation, interaction  ...  In this review, we present recent GCNs developments in the context of medical image analysis including imaging data from radiology and histopathology.  ...  In addition, chest CT scans together with GCN is able to assist airway semantic segmentation, which refers to the segmentation of airway from background and dividing it into anatomical segments for lung  ... 
arXiv:2202.08916v3 fatcat:zskcqvgjpnb6vdklmyy5rozswq

PhD Thesis. Computer-Aided Assessment of Tuberculosis with Radiological Imaging: From rule-based methods to Deep Learning [article]

Pedro M. Gordaliza
2022 arXiv   pre-print
In Chapter 5, we present a DL model capable of extracting disentangled information from images of different animal models, as well as information of the mechanisms that generate the CT volumes.  ...  Thus, in this thesis, we introduce a set of novel methods based on the state of the art Artificial Intelligence (AI) and Computer Vision (CV).  ...  ., healthy lungs, airways tree, stomach) are identified on a thorax CT scan. Next, the intricate airways tree structure is computed and removed from the segmented lungs.  ... 
arXiv:2205.15909v1 fatcat:b2qvw2kvlbhk5lhomqezwnbt4u
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