Promising results for early diagnosis of lung cancer

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI

Volumn , Issue , 2008, Pages 1151-1154

  El Baz, Ayman ^a   Gimel'farb, Georgy ^b   Falk, Robert ^c   El Ghar, Mohamed Abou ^d   Refaie, Huda ^d  

^a University of Louisville   (United States)

^b UNIVERSITY OF AUCKLAND   (New Zealand)

^c JEWISH HOSPITAL   (United States)

^d MANSOURA UNIVERSITY   (Egypt)

Author keywords

CT; Lung cancer; Nodules; Non rigid registration

Indexed keywords

ALIGNMENT; COMPUTER NETWORKS; DEFORMATION; GRADIENT METHODS; TARGETS; TECHNICAL PRESENTATIONS;

CT; ISO-SURFACES; LUNG CANCER; NODULES; NON-RIGID REGISTRATION;

BIOLOGICAL ORGANS;

EID: 51049110277     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2008.4541205     Document Type: Conference Paper

References (23)

1. A. Farag, A. El-Baz, and G. Gimel'farb, "Precise Segmentation of Multi-Modal Images," IEEE TIP, vol. 15, no. 4, pp. 952-968, 2006.
2. A. El-Baz, "Novel Stochastic Models for Medical Image Analysis," Ph.D. dissertation, University of Louisville, Louisville, KY, pp. 115-150, 2006.
3. A. Farag, A. El-Baz, and G. Gimelfarb, "Quantitative Nodule Detection in Low Dose Chest CT Scans: New Template Modeling and Evaluation for CAD System Design," Proc. Int. Conf. on Medical Image Computing and Computer-Assisted Intervention (MICCAI'05), Palm Springs, California, USA, October 26-29, 2005, pp. 720-728, 2005.
4. A. El-Baz, et al., "A Framework for Automatic Segmentation of Lung Nodules from Low Dose Chest CT Scans", Proc. IAPR Int. Conf. on Pattern Recognition (ICPR'06), Hong Kong, August 20-24, 2006, vol. 3, pp. 611-614, 2006.
5. J. Maintz and M. Viergever, "A Survey of Medical Image Registration," Journal of Medical Image Analysis, vol. 2, pp. 1-36, 1998.
6. J. Ko and D. Naidich, "Computer-Aided Diagnosis and the Evaluation of Lung Disease," Journal of Thoracic Imaging, vol. 19, pp. 136-155, 2004.
7. W. Kostis, et al., "Small Pulmonary Nodules: Reproducibility of Three-Dimensional Volumetric Measurement and Estimation of Time to Follow-Up CT," Radiology, vol. 231, no. 2, pp. 446-452, May 2004.
8. B. Horn, "Closed-Form Solution of Absolute Orientation using Unit Quaternions," Journal of the Optical Society of America B, vol. 4, no. 4, pp. 629-642, 1987.
9. M. Brown, et al., "Method for Segmenting Chest CT Image Data using an Anatomical Model: Preliminary Results," IEEE TMI, vol. 16, no. 6, pp. 828-839, 1997.
10. J. Ko, and M. Betke, "Chest CT: Automated Nodule Detection and Assessment of Change over Time-Preliminary Experience," Radiology, vol. 218, pp. 267-273, 2001.
11. K. Woods, et al., "Model Supported Image Registration and Warping for Change Detection in Computer-Aided Diagnosis," Applied Imagery Pattern Recognition (AIPR) Annual Workshops, Washington DC, 2000.
12. L. Fan and C. Chen, "An Integrated Approach to 3D Warping and Registration from Lung Images," Proc. SPIE, Denver, CO, July 1999.
13. L. Dougherty, et al., "Alignment of CT Lung Volumes with an Optical Flow Method," Academic Radiology, vol. 10, no. 3, pp. 249-254, 2003.
14. I. Naqa, et al., "Automated Breathing Motion Tracking for 4D Computed Tomography," Nuclear Science Symp., vol. 5, pp. 3219-3222, 2003.
15. D. Low, et al., "A Method for the Reconstruction of Four-Dimensional Synchronized CT Scans Acquired During Free Breathing," Medical Physics, vol. 30, No. 6, pp. 1254-1263, 2003.
16. L. Zhang and J. Reinhardt, "3D Pulmonary CT Image Registration with a Standard Lung Atlas," Proc. SPIE Conf. Medical Imaging, vol. 4322, pp. 67-77, 2000.
17. B. Li, et al., "3-D Inter-Subject Warping and Registration of Pulmonary CT Images for a Human Lung Model," Proc. SPIE Conf., vol. 4683, pp. 324-335, San Diego, CA, 2002.
18. K. Okada, et al., "Robust Anisotropic Gaussian Fitting for Volumetric Characterization of Pulmonary Nodules in Multislice CT," IEEE TMI, vol. 24, no. 3, pp. 409-423, 2005.
19. B. Zhao, et al., "Two-Dimensional Multicriterion Segmentation of Pulmonary Nodules on Helical CT Images," Medical Physics, vol. 26, pp. 889-895, 1999.
20. W. Kostis, et al., "Three-Dimensional Segmentation and Growth-Rate Estimation of Small Pulmonary Nodules in Helical CT Images," IEEE TMI, vol. 22, pp. 1259-1274, 2003.
21. A. Reeves, et al., "On Measuring the Change in Size of Pulmonary Nodules," IEEE TMI, vol. 25, no. 4, pp. 435-450, 2006.
22. J. Sethian, "Fast Marching Level Set Method for Monotonically Advancing Fronts," Proc. National Academy of Sciences, USA, vol. 93, pp. 1591-1595, Feb. 1996.
23. D. Rueckert, et al., "Nonrigid Registration using Freeform Deformations: Application to Breast MR Images," IEEE TMI, vol. 18, no. 8, pp. 712-721, 1999.