Nonlinear histogram binning for quantitative analysis of lung tissue fibrosis in high-resolution CT data

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 6511, Issue PART 2, 2007, Pages

  Zavaletta, Vanessa A ^a   Bartholmai, Brian J ^a,b   Robb, Richard A ^a  

^a Mayo Clinic College of Medicine   (United States)

^b MAYO CLINIC   (United States)

Author keywords

Histogram binning; Lung tissue pathophysiology; Texture analysis

Indexed keywords

COMPUTERIZED TOMOGRAPHY; FEATURE EXTRACTION; IMAGE RESOLUTION; PULMONARY DISEASES; STATISTICAL METHODS; TISSUE;

DYNAMIC PROGRAMMING ALGORITHMS; HISTOGRAM BINNING; LUNG TISSUE PATHOPHYSIOLOGY; TEXTURE ANALYSIS;

NONLINEAR OPTICS;

EID: 35148830871     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.710220     Document Type: Conference Paper

References (12)

1. C. Beigelman-Aubry, C. Hill, A. Guibal, J. Savatovsky, and P. A. Grenier, "Multi-Detector row CT and postprocessing techniques in the assessment of diffuse lung disease," Radiographics 25(6), pp. 1639-1652. 2005.
2. Y. Xu, E. J. van Beek, Y. Hwanjo, J. Guo, G. McLennan, and E. A. Hoffman, "Computer-aided classification of interstitial lung diseases via MDCT: 3D adaptive multiple feature method (3D AMFM)," Academic Radiology 13, pp. 969-978, 2006.
3. R. C. Gonzalez, R. E. Woods, and S. L. Eddins, Digital Image Processing Using Matlab, Pearson Prentice Hall, 2004.
4. R. Lerman, D. S. Raicu, and J. D. Furst, "Contrast enhancement of soft tissues in computed tomography images," in Medical Imaging, SPIE, 2006.
5. Z. F. Knopps, J. B. A. Maintz, M. A. Viergever, and J. P. W. Pluim, "Normalized mutual information based registration using K-means clustering based histogram binning," in Medical Imaging 2003: Image Processing, M. Sonka and J. M. Fitzpatrick, eds., 5032(1), pp. 1072-1080, SPIE, (San Diego, CA, USA), 2003.
6. S. Handrick, B. Naimipour, D. Raicu, and J. Furst, "Evaluation of binning strategies for tissue classification in computed tomography images," in Medical Imaging, SPIE, 2006.
7. R. M. Haralick, K. Shanmugam, and I. Dinstein, "Textural features for image classification," IEEE Transactions on Systems, Man, and Cybernetics 6, 1973.
8. A. Kurani, D.-H. Xu, and a. D. R. J. Furst, "Co-occurrence matrices for volumetric data," in Computer Graphics and Imaging, M. Hamza, ed., August 2004.
9. M. Unser, "Sum and difference histograms for texture classification," IEEE Transactions on Pattern Analysis and Machine Intelligence 8, pp. 118-125, January 1986.
10. R. Galloway, "Texture analysis using gray level run lengths," Computer Graphics and Image Processing 4, pp. 172-179, 1975.
11. D.-H. Xu, A. Kurani, J. Furst, and D. Raicu, "Run-length encoding for volumetric texture," in Visualization, Imaging, and Image Processing, J. J. Villanieva, ed., September 2004.
12. F. van der Heijden, R. Duin, D. de Ridder, and D. Tax, Classification, Parameter Estimation and State Estimation, An Engineering Approach using MATLAB, Wiley, 2004.