Journal ArticleDOI
Pulmonary airways: 3-D reconstruction from multislice CT and clinical investigation
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TLDR
The proposed functionality relies on an energy-based three-dimensional reconstruction of the bronchial tree from multislice CT acquisitions, up to the sixth- to seventh-order subdivisions, and proved to be robust with respect to a large spectrum of airway pathologies, including even severe stenosis.Abstract:
In the framework of computer-aided diagnosis, this paper proposes a novel functionality for the computerized tomography (CT)-based investigation of the pulmonary airways. It relies on an energy-based three-dimensional (3-D) reconstruction of the bronchial tree from multislice CT acquisitions, up to the sixth- to seventh-order subdivisions. Global and local analysis of the reconstructed airways is possible by means of specific visualization modalities, respectively, the CT bronchography and the virtual bronchoscopy. The originality of the 3-D reconstruction approach consists in combining axial and radial propagation potentials to control the growth of a subset of low-order airways extracted from the CT volume by means of a robust mathematical morphology operator-the selective marking and depth constrained (SMDC) connection cost. The proposed approach proved to be robust with respect to a large spectrum of airway pathologies, including even severe stenosis (bronchial lumen obstruction/collapse). Validated by expert radiologists, examples of airway 3-D reconstructions are presented and discussed for both normal and pathological cases. They highlight the interest in considering CT bronchography and virtual bronchoscopy as complementary tools for clinical diagnosis and follow-up of airway diseases.read more
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Journal ArticleDOI
Extraction of Airways From CT (EXACT'09)
Pechin Lo,Bram van Ginneken,Joseph M. Reinhardt,Tarunashree Yavarna,Pim A. de Jong,Benjamin Irving,Catalin Fetita,Margarete Ortner,Romulo Pinho,Jan Sijbers,Marco Feuerstein,Anna Fabijańska,Christian Bauer,Reinhard Beichel,Carlos S. Mendoza,Rafael Wiemker,Jaesung Lee,Anthony P. Reeves,Silvia Born,Oliver Weinheimer,Eva M. van Rikxoort,Juerg Tschirren,Ken Mori,Benjamin L. Odry,David P. Naidich,Ieneke J. C. Hartmann,Eric A. Hoffman,Mathias Prokop,Jesper Holst Pedersen,Marleen de Bruijne +29 more
TL;DR: A fusion scheme that obtained superior results is presented, demonstrating that there is complementary information provided by the different algorithms and there is still room for further improvements in airway segmentation algorithms.
Journal ArticleDOI
Vessel-guided airway tree segmentation: A voxel classification approach
Pechin Lo,Jon Sporring,Haseem Ashraf,Jesper Holst Pedersen,Marleen de Bruijne,Marleen de Bruijne +5 more
TL;DR: A voxel classification approach for the appearance model is proposed, which uses a classifier that is trained to differentiate between airway and non-airway voxels, in contrast to previous works that use either intensity alone or hand crafted models of airway appearance.
Journal ArticleDOI
Automated segmentation of pulmonary structures in thoracic computed tomography scans: a review
TL;DR: This systematic review provides an overview of current literature on segmentation methods for the lungs, the pulmonary vasculature, the airways, including airway tree construction and airway wall segmentation, the fissures, the lobes and the pulmonary segments.
Journal ArticleDOI
Robust 3-D Airway Tree Segmentation for Image-Guided Peripheral Bronchoscopy
TL;DR: Results demonstrate that the proposed method typically extracts 2-3 more generations of airways than several other methods, and that the extracted airway trees enable image-guided bronchoscopy deeper into the human lung periphery than past studies.
Journal ArticleDOI
Multimodal registration of retinal images using self organizing maps
TL;DR: The proposed registration algorithm was tested on 24 multimodal retinal pairs and the obtained results show an advantageous performance in terms of accuracy with respect to the manual registration.
References
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Book
Computed tomography : fundamentals, system technology, image quality, applications
TL;DR: System concepts System components Image reconstruction Spiral CT Multi-slice spiral CT Cone-beam CT Dynamic CT Quantitative CT Dual source CT Dual energy CT Flat detector CT Micro CT Image quality Spatial resolution Contrast Pixel noise Homogeneity Routine and special applications 3D displays Post-processing Quality assurance.
Journal ArticleDOI
Virtual Bronchoscopy: Relationships of Virtual Reality Endobronchial Simulations to Actual Bronchoscopic Findings
TL;DR: In this article, the authors compared virtual bronchoscopy images with videotaped bronchoscopic results in 20 patients who had undergone both helical chest CT and fiberoptic bronchoscope during clinical evaluation of their thoracic problems.
Journal ArticleDOI
Three-Dimensional Human Airway Segmentation Methods for Clinical Virtual Bronchoscopy☆
Atilla Peter Kiraly,William E. Higgins,William E. Higgins,Geoffrey McLennan,Eric A. Hoffman,Joseph M. Reinhardt +5 more
TL;DR: The authors developed an integrated airway segmentation system that draws on an adaptive region-growing algorithm and a new hybrid algorithm that uses both region growing and mathematical morphology and shows that prefiltering the image data before airways segmentation increases the robustness of both region- growing and hybrid methods.
Journal ArticleDOI
Automated anatomical labeling of the bronchial branch and its application to the virtual bronchoscopy system
TL;DR: A method for the automated anatomical labeling of the bronchial branch extracted from a three-dimensional chest X-ray CT image and its application to a virtual bronchoscopy system (VBS) and the result showed that the method could segment about 57% of the branches from CT images and extracted a tree structure of about 91% in branches in the segmented bronchus.
Journal ArticleDOI
New frontiers in CT imaging of airway disease.
Philippe Grenier,Catherine Beigelman-Aubry,Catalin Fetita,Francoise Preteux,Michel Brauner,Stéphane Lenoir +5 more
TL;DR: Improve in image analysis technique and the use of spirometrically control of lung volume acquisition have made possible accurate and reproducible quantitative assessment of airway wall and lumen areas and lung density, which contributes to better insights in physiopathology of obstructive lung disease, particularly in chronic obstructive pulmonary disease and asthma.