Texture-based analysis of COPD: A data-driven approach

IEEE Transactions on Medical Imaging

Volumn 31, Issue 1, 2012, Pages 70-78

  Sorensen, Lauge ^a   Nielsen, Mads ^a,b   Lo, Pechin ^a   Ashraf, Haseem ^c   Pedersen, Jesper H ^a   De Bruijne, Marleen ^a,d  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

^b NORDIC BIOSCIENCE A S   (Denmark)

^c GENTOFTE UNIVERSITY HOSPITAL   (Denmark)

^d ERASMUS MEDICAL CENTER   (Netherlands)

Author keywords

chronic obstructive pulmonary disease (COPD); Classification; computed tomography (CT); lung; texture analysis

Indexed keywords

CHRONIC OBSTRUCTIVE PULMONARY DISEASE; CLASS LABELS; COMPUTED TOMOGRAPHY; COMPUTED TOMOGRAPHY (CT); DATA-DRIVEN APPROACH; DENSITY MEASURES; FILTER RESPONSE; GAUSSIAN FILTERS; K-NEAREST NEIGHBORS; K-NN CLASSIFIER; LUNG; LUNG CANCER SCREENING; LUNG FIELDS; LUNG FUNCTION; MULTISCALES; QUANTITATIVE MEASURES; RECEIVER OPERATING CHARACTERISTIC CURVES; REGIONS OF INTEREST; ROTATION INVARIANT; TEXTURE ANALYSIS;

BIOLOGICAL ORGANS; CLASSIFICATION (OF INFORMATION); COMPUTERIZED TOMOGRAPHY; FILTER BANKS; TEXTURES; TOMOGRAPHY;

PULMONARY DISEASES;

ALGORITHM; AREA UNDER THE CURVE; ARTICLE; AUTOMATED PATTERN RECOGNITION; CHRONIC OBSTRUCTIVE LUNG DISEASE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; FEMALE; HUMAN; MALE; METHODOLOGY; NONPARAMETRIC TEST; RADIOGRAPHY; RECEIVER OPERATING CHARACTERISTIC; REPRODUCIBILITY;

ALGORITHMS; AREA UNDER CURVE; FEMALE; HUMANS; MALE; PATTERN RECOGNITION, AUTOMATED; PULMONARY DISEASE, CHRONIC OBSTRUCTIVE; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; ROC CURVE; STATISTICS, NONPARAMETRIC; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84855397195     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2011.2164931     Document Type: Article

References (36)

1. K. F. Rabe, S. Hurd, A. Anzueto, P. J. Barnes, S. A. Buist, P. Calverley, Y. Fukuchi, C. Jenkins, R. Rodriguez-Roisin, C. van Weel, and J. Zielinski, "Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary," Am. J. Respir. Crit. Care Med., vol. 176, no. 6, pp. 532-555, Sep. 2007. (Pubitemid 47403272)
2. J.W. Gurney, K. K. Jones, R. A. Robbins, G. L. Gossman, K. J. Nelson, D. Daughton, J. R. Spurzem, and S. I. Rennard, "Regional distribution of emphysema: Correlation of high-resolution CT with pulmonary function tests in unselected smokers," Radiology, vol. 183, no. 2, pp. 457-463, 1992.
3. A. Dirksen, N. H. Holstein-Rathlou, F. Madsen, L. T. Skovgaard, C. S. Ulrik, T. Heckscher, and A. Kok-Jensen, "Long-range correlations of serial FEV1 measurements in emphysematous patients and normal subjects," J. Appl. Physiol., vol. 85, no. 1, pp. 259-265, Jul. 1998. (Pubitemid 28334934)
4. N. L. Müller, C. A. Staples, R. R. Miller, and R. T. Abboud, ""Density mask". An objective method to quantitate emphysema using computed tomography," Chest, vol. 94, no. 4, pp. 782-787, Oct. 1988.
5. A. A. Bankier, V. D. Maertelaer, C. Keyzer, and P. A. Gevenois, "Pulmonary emphysema: Subjective visual grading versus objective quantification with macroscopic morphometry and thin-section CT densitometry," Radiology, vol. 211, no. 3, pp. 851-858, Jun. 1999. (Pubitemid 29249489)
6. G. A. Gould,W. MacNee, A. McLean, P. M.Warren, A. Redpath, J. J. Best, D. Lamb, and D. C. Flenley, "CT measurements of lung density in life can quantitate distal airspace enlargement-an essential defining feature of human emphysema," Am. Rev. Respir. Dis., vol. 137, no. 2, pp. 380-392, Feb. 1988. (Pubitemid 18050189)
7. F. Chabat, G.-Z. Yang, and D. M. Hansell, "Obstructive lung diseases: Texture classification for differentiation at CT," Radiology, vol. 228, no. 3, pp. 871-877, Sep. 2003. (Pubitemid 37025501)
8. I. C. Sluimer, P. F. vanWaes, M. A. Viergever, and B. van Ginneken, "Computer-aided diagnosis in high resolution CT of the lungs," Med. Phys., vol. 30, no. 12, pp. 3081-3090, Dec. 2003. (Pubitemid 37553748)
9. R. Uppaluri, E. A. Hoffman, M. Sonka, P. G. Hartley, G. W. Hunninghake, and G. McLennan, "Computer recognition of regional lung disease patterns," Am. J. Respir. Crit. Care Med., vol. 160, no. 2, pp. 648-654, Aug. 1999. (Pubitemid 29380686)
10. Y. Xu, M. Sonka, G. McLennan, J. Guo, and E. A. Hoffman, "MDCTbased 3-D texture classification of emphysema and early smoking related lung pathologies," IEEE Trans. Med. Imag., vol. 25, no. 4, pp. 464-475, Apr. 2006.
11. Y. S. Park, J. B. Seo, N. Kim, E. J. Chae, Y. M. Oh, S. D. Lee, Y. Lee, and S.-H. Kang, "Texture-based quantification of pulmonary emphysema on high-resolution computed tomography: Comparison with density-based quantification and correlation with pulmonary function test," Invest. Radiol., vol. 43, no. 6, pp. 395-402, Jun. 2008. (Pubitemid 351769897)
12. M. Prasad, A. Sowmya, and P. Wilson, "Multi-level classification of emphysema in HRCT lung images," Pattern Anal. Appl., vol. 12, no. 1, pp. 9-20, Jan. 2009.
13. L. Sørensen, S. B. Shaker, andM. de Bruijne, "Quantitative analysis of pulmonary emphysema using local binary patterns," IEEE Trans. Med. Imag., vol. 29, no. 2, pp. 559-569, Feb. 2010.
14. M. Loog and B. Van Ginneken, "Static posterior probability fusion for signal detection: Applications in the detection of interstitial diseases in chest radiographs," in Int. Conf. Pattern Recognit., 2004, pp. 644-647.
15. J. Raundahl, M. Loog, P. Pettersen, L. B. Tanko, and M. Nielsen, "Automated effect-specific mammographic pattern measures," IEEE Trans. Med. Imag., vol. 27, no. 8, pp. 1054-1060, Aug. 2008.
16. Y. Arzhaeva, L. Hogeweg, P. A. de Jong, M. A. Viergever, and B. van Ginneken, "Global and local multi-valued dissimilarity-based classification: Application to computer-aided detection of tuberculosis," in Medical Image Computing and Computer-Assisted Intervention, G.-Z. Yang, D. J. Hawkes, D. Rueckert, J. A. Noble, and C. J. Taylor, Eds. New York: Springer, 2009, vol. 5762, Lecture Notes in Computer Science, pp. 724-731.
17. L. Sørensen, P. Lo, H. Ashraf, J. Sporring, M. Nielsen, and M. de Bruijne, "Learning COPD sensitive filters in pulmonary CT," in Medical Image Computing and Computer-Assisted Intervention, G.-Z. Yang, D. J. Hawkes, D. Rueckert, J. A. Noble, and C. J. Taylor, Eds. New York: Springer, 2009, vol. 5762, Lecture Notes in Computer Science, pp. 699-706.
18. B. M. ter Haar Romeny, "Applications of scale-space theory," in Gaussian Scale-Space Theory. Dordrecht, The Netherlands: Kluwer Academic, 1997, pp. 3-19.
19. P. Lo, J. Sporring, H. Ashraf, J. J. Pedersen, and M. de Bruijne, "Vessel-guided airway tree segmentation: A voxel classification approach," Med. Image Anal., vol. 14, pp. 527-538, Aug. 2010.
20. S. Hu, E. A. Hoffman, and J. M. Reinhardt, "Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images," IEEE Trans. Med. Imag., vol. 20, no. 6, pp. 490-498, Jun. 2001. (Pubitemid 32657853)
21. H. Knutsson and C.-F. Westin, "Normalized and differential convolution: Methods for interpolation and filtering of incomplete and uncertain data," in Computer Vision and Pattern Recognition. NewYork: IEEE Computer Society, 1993, pp. 515-523.
22. T. Ojala, M. Pietikäinen, and D. Harwood, "A comparative study of texture measures with classification based on featured distributions," Pattern Recognit., vol. 29, no. 1, pp. 51-59, 1996.
23. D.W. Scott, "On optimal and data-based histograms," Biometrika, vol. 66, no. 3, pp. 605-610, Dec. 1979. (Pubitemid 10218411)
24. A. Jain, R. Duin, and J. Mao, "Statistical pattern recognition: A review," IEEE Trans. Pattern Anal.Mach. Intell., vol. 22, no. 1, pp. 4-37, Jan. 2000. (Pubitemid 32132953)
25. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification, 2nd ed. New York: Wiley-Interscience, 2000.
26. Y. Rubner, C. Tomasi, and L. J. Guibas, "The earth mover's distance as a metric for image retrieval," Int. J. Comput. Vis., vol. 40, no. 2, pp. 99-121, 2000. (Pubitemid 32136368)
27. E. Levina and P. Bickel, "The earth mover's distance is the mallows distance: Some insights from statistics," in Int. Conf. Comput. Vis., 2001, pp. 251-256. (Pubitemid 32795066)
28. J. H. Pedersen, H. Ashraf, A. Dirksen, K. Bach, H. Hansen, P. Toennesen, H. Thorsen, J. Brodersen, B. G. Skov,M. Døssing, J.Mortensen, K. Richter, P. Clementsen, and N. Seersholm, "The Danish randomized lung cancer CT screening trial-overall design and results of the prevalence round," J. Thorac. Oncol., vol. 4, no. 5, pp. 608-614, May 2009.
29. P. Quanjer, G. Tammeling, J. Cotes, O. Pedersen, R. Peslin, and J. Yernault, "Lung volumes and forced ventilatory flows. Report working party standardization of lung function tests, European Community for Steel and Coal. Official statement of the European Respiratory Society," Eur. Respir. J. Suppl., vol. 16, pp. 5-40, 1993.
30. W. R. Webb, N. Müller, and D. Naidich, High-Resolution CT of the Lung, J.-R. John, Ed., 3rd ed. New York: Lippincott Williams & Wilkins, 2001.
31. S. Arya, D. M. Mount, N. S. Netanyahu, R. Silverman, and A. Y. Wu, "An optimal algorithm for approximate nearest neighbor searching in fixed dimensions," J. ACM, vol. 45, no. 6, pp. 891-923, 1998.
32. J. Kittler and F. M. Alkoot, "Moderating-NN classifiers," Pattern Anal. Appl., vol. 5, no. 3, pp. 326-332, 2002.
33. H. Ashraf, P. Lo, S. B. Shaker, M. de Bruijne, A. Dirksen, P. Tønnesen, M. Dahlbäck, and J. H. Pedersen, "Short-term effect of changes in smoking behaviour on emphysema quantification by CT," Thorax, vol. 66, no. 1, pp. 55-60, Jan. 2011.
34. E. R. DeLong, D. M. DeLong, and D. L. Clarke-Pearson, "Comparing the areas under two or more correlated receiver operating characteristic curves: A nonparametric approach," Biometrics, vol. 44, no. 3, pp. 837-845, Sep. 1988.
35. K. Murphy, B. van Ginneken, E. van Rikxoort, B. de Hoop,M. Prokop, P. Lo, M. de Bruijne, and J. Pluim, "Obstructive pulmonary function: Patient classification using 3D registration of inspiration and expiration CT images," in Proc. 2nd Int. Workshop Pulmonary Image Anal., M. Brown, M. de Bruijne, B. van Ginneken, A. Kiraly, J.-M. Kuhnigk, C. Lorenz, J. McClell, K. Mori, A. Reeves, and J. Reinhardt, Eds., 2009, pp. 37-47.
36. J. Petersen, P. Lo, M. Nielsen, G. Edula, H. Ashraf, A. Dirksen, and M. de Bruijne, "Quantitative analysis of airway abnormalities in CT," in Medical Imaging: Computer-Aided Diagnosis, N. Karssemeijer and R. M. Summers, Eds. Bellingham, WA: SPIE, 2010, vol. 7624, p. 6241S.