Airway segmentation and analysis from computed tomography

[1]  W E Higgins,et al.  Automatic axis generation for virtual bronchoscopic assessment of major airway obstructions. , 2002, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[2]  Milan Sonka,et al.  Quantitative analysis of pulmonary airway tree structures , 2006, Comput. Biol. Medicine.

[3]  Milan Sonka,et al.  Quantitative Analysis of Intrathoracic Airway Trees: Methods and Validation , 2003, IPMI.

[4]  Cristian Lorenz,et al.  Simultaneous segmentation and tree reconstruction of the airways for virtual bronchoscopy , 2002, SPIE Medical Imaging.

[5]  Kensaku Mori,et al.  Distance Transformation and Skeletonization of 3D Pictures and Their Applications to Medical Images , 2000, Digital and Image Geometry.

[6]  Luc Vincent,et al.  Morphological grayscale reconstruction: definition, efficient algorithm and applications in image analysis , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[7]  Milan Sonka,et al.  Rule-based detection of intrathoracic airway trees , 1996, IEEE Trans. Medical Imaging.

[8]  S. Pizer,et al.  Proper shape representation of single figure and multi-figure anatomical objects , 2008 .

[9]  Kensaku Mori,et al.  Recognition of bronchus in three-dimensional X-ray CT images with applications to virtualized bronchoscopy system , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[10]  Françoise J. Prêteux,et al.  Modeling, segmentation, and caliber estimation of bronchi in high resolution computerized tomography , 1999, J. Electronic Imaging.

[11]  Luc Vincent,et al.  Morphological grayscale reconstruction in image analysis: applications and efficient algorithms , 1993, IEEE Trans. Image Process..

[12]  Marleen de Bruijne,et al.  Adapting Active Shape Models for 3D Segmentation of Tubular Structures in Medical Images , 2003, IPMI.

[13]  Françoise J. Prêteux,et al.  Pulmonary airways: 3-D reconstruction from multislice CT and clinical investigation , 2004, IEEE Transactions on Medical Imaging.

[14]  E A Hoffman,et al.  Measurement of three-dimensional lung tree structures by using computed tomography. , 1995, Journal of applied physiology.

[15]  Y. Cheung,et al.  Airway obstruction in children with congenital heart disease: Assessment by flexible bronchoscopy , 2002, Pediatric pulmonology.

[16]  Jan Sijbers,et al.  Improved Shape Modeling of Tubular Objects Using Cylindrical Parameterization , 2006, MIAR.

[17]  F. Laurent,et al.  Assessment of bronchial wall thickness and lumen diameter in human adults using multi‐detector computed tomography: comparison with theoretical models , 2007, Journal of anatomy.

[18]  Kensaku Mori,et al.  Automated anatomical labeling of the bronchial branch and its application to the virtual bronchoscopy system , 2000, IEEE Transactions on Medical Imaging.

[19]  Takayuki Kitasaka,et al.  Extraction of bronchus regions from 3D chest X-ray CT images by using structural features of bronchus , 2003, CARS.

[20]  P. Goussard,et al.  Airway involvement in pulmonary tuberculosis. , 2007, Paediatric respiratory reviews.

[21]  Benjamin Irving,et al.  3D segmentation of the airway tree using a morphology based method , 2009 .

[22]  Paul A. Yushkevich,et al.  Deformable M-Reps for 3D Medical Image Segmentation , 2003, International Journal of Computer Vision.

[23]  Armin Ernst,et al.  Multiplanar and three-dimensional imaging of the central airways with multidetector CT. , 2002, AJR. American journal of roentgenology.

[24]  B. Marais Childhood tuberculosis--risk assessment and diagnosis. , 2007, South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde.

[25]  Martin Styner,et al.  Object models in multiscale intrinsic coordinates via m-reps , 2003, Image Vis. Comput..

[26]  D. Aykac,et al.  Segmentation and analysis of the human airway tree from three-dimensional X-ray CT images , 2003, IEEE Transactions on Medical Imaging.

[27]  Milan Sonka,et al.  Segmentation, Skeletonization, and Branchpoint Matching - A Fully Automated Quantitative Evaluation of Human Intrathoracic Airway Trees , 2002, MICCAI.

[28]  Yoshitaka Masutani,et al.  Vascular Shape Segmentation and Structure Extraction Using a Shape-Based Region-Growing Model , 1998, MICCAI.

[29]  Eric A. Hoffman,et al.  Accurate measurement of intrathoracic airways , 1997, IEEE Transactions on Medical Imaging.

[30]  S. Andronikou,et al.  CT scanning for the detection of tuberculous mediastinal and hilar lymphadenopathy in children , 2004, Pediatric Radiology.

[31]  R. Hennekam,et al.  3D analysis of facial morphology , 2004, American journal of medical genetics. Part A.

[32]  Geoffrey McLennan,et al.  Three-dimensional human airway segmentation methods for clinical virtual bronchoscopy. , 2002, Academic radiology.

[33]  Milan Sonka,et al.  Intrathoracic airway trees: segmentation and airway morphology analysis from low-dose CT scans , 2005, IEEE Transactions on Medical Imaging.

[34]  Jan Sijbers,et al.  Segmentation of the Human Trachea Using Deformable Statistical Models of Tubular Shapes , 2007, ACIVS.

[35]  R M Summers,et al.  Virtual bronchoscopy: segmentation method for real-time display. , 1996, Radiology.

[36]  P. Goussard,et al.  Comparing three-dimensional volume-rendered CT images with fibreoptic tracheobronchoscopy in the evaluation of airway compression caused by tuberculous lymphadenopathy in children , 2009, Pediatric Radiology.

[37]  Milan Sonka,et al.  Segmentation of intrathoracic airway trees: a fuzzy logic approach , 1998, IEEE Transactions on Medical Imaging.

[38]  P. Thomas Fletcher,et al.  Principal geodesic analysis for the study of nonlinear statistics of shape , 2004, IEEE Transactions on Medical Imaging.

[39]  PhengAnn Heng,et al.  Automated extraction of bronchus from 3D CT images of lung based on genetic algorithm and 3D region growing , 2000, Medical Imaging: Image Processing.

[40]  J Bousquet,et al.  Measurement of the internal size of bronchi using high resolution computed tomography (HRCT) , 1994, The European respiratory journal.

[41]  Peter Hammond,et al.  Estimating average growth trajectories in shape-space using kernel smoothing , 2003, IEEE Transactions on Medical Imaging.

[42]  Dorin Comaniciu,et al.  Personalized Pulmonary Trunk Modeling for Intervention Planning and Valve Assessment Estimated from CT Data , 2009, MICCAI.

[43]  Rasmus Reinhold Paulsen,et al.  Building and Testing a Statistical Shape Model of the Human Ear Canal , 2002, MICCAI.

[44]  Milan Sonka,et al.  Matching and anatomical labeling of human airway tree , 2005, IEEE Transactions on Medical Imaging.

[45]  Hans-Peter Meinzer,et al.  Statistical shape models for 3D medical image segmentation: A review , 2009, Medical Image Anal..