Automatic analysis of 3D low dose CT images for early diagnosis of lung cancer
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Georgy L. Gimel'farb | Mohamed Abou El-Ghar | Ayman El-Baz | Robert Falk | A. El-Baz | G. Gimel'farb | R. Falk | M. El-Ghar
[1] Anthony P. Reeves,et al. Three-dimensional segmentation and growth-rate estimation of small pulmonary nodules in helical CT images , 2003, IEEE Transactions on Medical Imaging.
[2] W. Heindel,et al. Volumetric measurements of pulmonary nodules at multi-row detector CT: in vivo reproducibility , 2003, European Radiology.
[3] Ayman El-Baz,et al. Quantitative Nodule Detection in Low Dose Chest CT Scans: New Template Modeling and Evaluation for CAD System Design , 2005, MICCAI.
[4] Eric A. Hoffman,et al. 3D intersubject warping and registration of pulmonary CT images for a human lung model , 2002, SPIE Medical Imaging.
[5] G. Chatellier,et al. Pulmonary nodules: preliminary experience with three-dimensional evaluation. , 2004, Radiology.
[6] Berthold K. P. Horn,et al. Closed-form solution of absolute orientation using unit quaternions , 1987 .
[7] Jiang Hsieh,et al. Theoretical prediction of lung nodule measurement accuracy under different acquisition and reconstruction conditions , 2004, SPIE Medical Imaging.
[8] Colin Studholme,et al. An overlap invariant entropy measure of 3D medical image alignment , 1999, Pattern Recognit..
[9] J A Sethian,et al. A fast marching level set method for monotonically advancing fronts. , 1996, Proceedings of the National Academy of Sciences of the United States of America.
[10] Li Fan,et al. Integrated approach to 3D warping and registration from lung images , 1999, Optics & Photonics.
[11] Aly A. Farag,et al. A Framework for Automatic Segmentation of Lung Nodules from Low Dose Chest CT Scans , 2006, 18th International Conference on Pattern Recognition (ICPR'06).
[12] Antoni B. Chan,et al. On measuring the change in size of pulmonary nodules , 2006, IEEE Transactions on Medical Imaging.
[13] Michael F. McNitt-Gray,et al. Method for segmenting chest CT image data using an anatomical model: preliminary results , 1997, IEEE Transactions on Medical Imaging.
[14] Aly A. Farag,et al. Precise segmentation of multimodal images , 2006, IEEE Transactions on Image Processing.
[15] Anthony P. Reeves,et al. THREE-DIMENSIONAL MULTICRITERION AUTOMATIC SEGMENTATION OF PULMONARY NODULES OF HELICAL COMPUTED TOMOGRAPHY IMAGES , 1999 .
[16] Paul A. Viola,et al. Alignment by Maximization of Mutual Information , 1995, Proceedings of IEEE International Conference on Computer Vision.
[17] Simina C. Fluture,et al. Small pulmonary nodules: reproducibility of three-dimensional volumetric measurement and estimation of time to follow-up CT. , 2004, Radiology.
[18] J. Goo,et al. Volumetric measurement of synthetic lung nodules with multi-detector row CT: effect of various image reconstruction parameters and segmentation thresholds on measurement accuracy. , 2005, Radiology.
[19] Joseph M. Reinhardt,et al. 3D pulmonary CT image registration with a standard lung atlas , 2000, Medical Imaging.
[20] O. Martínez,et al. Amplification of nanosecond pulses in dye-laser amplifiers , 1987 .
[21] Georgy L. Gimel'farb,et al. Image Textures and Gibbs Random Fields , 1999, Computational Imaging and Vision.
[22] A. Reeves,et al. Two-dimensional multi-criterion segmentation of pulmonary nodules on helical CT images. , 1999, Medical physics.
[23] Margrit Betke,et al. Chest CT: automated nodule detection and assessment of change over time--preliminary experience. , 2001, Radiology.
[24] Ayman El-Baz,et al. New Motion Correction Models for Automatic Identification of Renal Transplant Rejection , 2007, MICCAI.
[25] Chang Wen Chen,et al. Model supported image registration and warping for change detection in computer-aided diagnosis , 2000, Proceedings 29th Applied Imagery Pattern Recognition Workshop.
[26] Robert J. Maciunas,et al. Registration of head CT images to physical space using a weighted combination of points and surfaces [image-guided surgery] , 1998, IEEE Transactions on Medical Imaging.
[27] I. El Naqa,et al. Automated breathing motion tracking for 4D computed tomography , 2003, 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515).
[28] Margrit Betke,et al. Small pulmonary nodules: volume measurement at chest CT--phantom study. , 2003, Radiology.
[29] Max A. Viergever,et al. A survey of medical image registration , 1998, Medical Image Anal..
[30] G. Christensen,et al. A method for the reconstruction of four-dimensional synchronized CT scans acquired during free breathing. , 2003, Medical physics.
[31] D. Naidich,et al. Computer-aided diagnosis and the evaluation of lung disease. , 2004, Journal of thoracic imaging.
[32] Lawrence Dougherty,et al. Alignment of CT lung volumes with an optical flow method. , 2003, Academic radiology.
[33] Aly A. Farag,et al. Appearance Models for Robust Segmentation of Pulmonary Nodules in 3D LDCT Chest Images , 2006, MICCAI.
[34] Daniel Rueckert,et al. Nonrigid registration using free-form deformations: application to breast MR images , 1999, IEEE Transactions on Medical Imaging.
[35] Dorin Comaniciu,et al. Robust anisotropic Gaussian fitting for volumetric characterization of Pulmonary nodules in multislice CT , 2005, IEEE Transactions on Medical Imaging.