Computer-aided diagnosis of radiographic patterns of lung disease via MDCT images

International Journal of Computational Science and Engineering

Volumn 5, Issue 3-4, 2010, Pages 254-261

  Xu, Ye ^a,b   Van Beek, Edwin J R ^c,d   Flaherty, Kevin R ^e   Kazerooni, Ella A ^e   Hoffman, Eric A ^c  

^a University of Iowa   (United States)

^b PHILIPS RESEARCH LABORATORIES   (Netherlands)

^c UNIVERSITY OF IOWA   (United States)

^d UNIVERSITY OF EDINBURGH   (United Kingdom)

^e UNIVERSITY OF MICHIGAN HEALTH SYSTEM   (United States)

Author keywords

computer aided diagnosis assessment; ILD.; interstitial lung diseases; lung; whole lung classification

Indexed keywords

BIOLOGICAL ORGANS; CLASSIFICATION (OF INFORMATION); MULTIDETECTOR COMPUTED TOMOGRAPHY; TEXTURES;

COMPUTER CLASSIFICATION; FEATURE INFORMATION; IMAGING TECHNOLOGY; INTERSTITIAL LUNG DISEASE; LUNG; MULTIPLE FEATURES; OBSERVER VARIATIONS; TEXTURE CLASSIFICATION;

COMPUTER AIDED DIAGNOSIS;

EID: 78650666671     PISSN: 17427185     EISSN: 17427193     Source Type: Journal    
DOI: 10.1504/IJCSE.2010.037680     Document Type: Article

References (14)

1. Ashizawa, K., Ishida, T., MacMahon, H., Vyborny, C.J., Katsuragawa, S. and Doi, K. (1999) 'Artificial neural networks in chest radiography: application to the differential diagnosis of interstitial lung disease', Academic Radiology, Vol. 6, No. 1, pp.2-9.
2. Cordier, J.F. (2007) 'Challenges in pulmonary fibrosis', Thorax, Vol. 62, pp.638-649.
3. Hansell, D.M., Bankier, A.A., MacMahon, H., McLoud, T.C., Müller, N.L., Remy, J. (2008) 'Fleischner society: glossary of terms for thoracic imaging', Radiology, Vol. 246, pp.697-772.
4. Hartley, P.G., Galvin, J.R., Hunninghake, G.W., Merchant, J.A., Yagla, S.J., Speakman, S.B. and Schwartz, D.A. (1994) 'High-resolution CT-derived measures of lung density are valid indexes of interstitial lung disease', Journal of Applied Physiology, Vol. 76, No. 1, pp.271-277.
5. Horwood, A., Hogan, J., Goddard, P. and Rossiter, J. (2001) 'Computer-assisted diagnosis of CT pulmonary images', Applied Nonlinear Mathematics.
6. Kazerooni, E.A., Martinez, F.J., Flint, A., Jamadar, D.A., Gross, B.H., Spizarny, D.L., Cascade, P.N., Whyte, R.I., Lynch, J.P. and Toews, G. (1997) 'Thin-section CT obtained at 10-mm increments versus limited three-level thin-section CT for idiopathic pulmonary fibrosis: correlation with pathologic scoring', American Journal of Roentgenology, Vol. 169, No. 4, pp.977-983.
7. Raghu, G., Nyberg, F. and Morgan, G. (2004) 'The epidemiology of interstitial lung disease and its association with lung cancer', British Journal of Cancer, Suppl. 2, Vol. 91, p.S3S10.
8. Shyu, C.R., Brodley, C.E., Kak, A.C., Aisen, A.M. and Broderick, L.S. (1999) 'Assert: a physician-in-the-loop content-based retrieval system for HRCT image databases', Computer Vision and Image Understanding, Vol. 75, Nos. 1/2, pp.111-132.
9. Shyu, C.R., Pavlopoulou, C., Kak, A.C. and Brodley, C.E. (2002) 'Using human perceptual categories for content-based retrieval from a medical image database', Computer Vision and Image Understanding, pp.119-151.
10. Uppaluri, R., Hoffman, E.A., Soka, M., Hartley, P.G., Hunninghake, G.W. and McLennan, G. (1999) 'Computer recognition of regional lung disease patterns', American Journal of Respiratory and Critical Care Medicine, Vol. 160, No. 2, pp.648-654.
11. Uppaluri, R., Mitsa, T., Sonka, M., Hoffman, E.A. and McLennan, G. (1997) 'Quantification of pulmonary emphysema from lung computed tomography images', American Journal of Respiratory and Critical Care Medicine, Vol. 156, No. 1, pp.248-254.
12. Xu, Y., Sonka, M., McLennan, G., Guo, J. and Hoffman, E.A. (2006a) 'MDCT-based 3-D texture classification of emphysema and early smoking related lung pathologies', IEEE Transaction on Medical Image, Vol. 25, No. 4, pp.464-475.
13. Xu, Y., van Beek, J.R.E., Sonka, M., McLennan, G., Guo, J. and Hoffman, E.A. (2006b) 'Effect of mixing scanner types and reconstruction kernels on the characterization of lung parenchymal pathologies: emphysema, interstitial pulmonary fibrosis and normal non-smokers', Proceedings of SPIE Medical Imaging, Vol. 6143, pp.206-214.
14. Xu, Y., Vanbeek, E.J.R., Yu, H., McLennan, G., Guo, J. and Hoffman, E.A. (2006c) 'Computer-aided classification of interstitial lung disease via MDCT: 3D adaptive multiple feature method (3D AMFM)', Academic Radiology, Vol. 13, No. 8, pp.969-978.