Detecting tuberculosis in radiographs using combined lung masks

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2012, Pages 4978-4981

  Jaeger, Stefan ^a   Karargyris, Alexandros ^a   Antani, Sameer ^a   Thoma, George ^a  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AREA UNDER THE ROC CURVE; AUTOMATED APPROACH; CHEST RADIOGRAPHS; CONTROL PROGRAM; DETECTION SYSTEM; DIAGNOSTIC TECHNIQUES; INTENSITY MODELS; MORTALITY RATE; SCREENING SYSTEM; SHAPE MODEL;

BIOLOGICAL ORGANS; DEVELOPING COUNTRIES; HEALTH RISKS; RADIOGRAPHY; RADIOLOGY; RURAL AREAS; TUBES (COMPONENTS);

DIAGNOSIS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE QUALITY; IMAGE SUBTRACTION; LUNG; LUNG TUBERCULOSIS; MASS SCREENING; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THORAX RADIOGRAPHY;

ALGORITHMS; HUMANS; LUNG; MASS SCREENING; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY, THORACIC; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; TUBERCULOSIS, PULMONARY;

EID: 84870800050     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6347110     Document Type: Conference Paper

References (25)

1. W. Report, Global Tuberculosis Control 2011. World Health Organization, 2011.
2. C. Leung, "Reexamining the role of radiography in tuberculosis case finding," The International Journal of Tuberculosis and Lung Disease, vol. 15, no. 10, pp. 1279-1279, 2011.
3. C. Daley, M. Gotway, and R. Jasmer, "Radiographic manifestations of tuberculosis," A primer for Clinicians. San Francisco: Francis J. Curry National Tuberculosis Center, 2009.
4. A. Karargyris, S. Antani, and G. Thoma, "Segmenting anatomy in chest x-rays for tuberculosis screening," in 33rd Int. Conf. of the IEEE Engineering in Medicine and Biology Society (EMBS), 2011, pp. 7779-7782.
5. B. van Ginneken, S. Katsuragawa, B. ter Haar Romeny, K. Doi, and M. Viergever, "Automatic detection of abnormalities in chest radiographs using local texture analysis," Medical Imaging, IEEE Transactions on, vol. 21, no. 2, pp. 139-149, 2002.
6. L. Hogeweg, C. Mol, P. de Jong, R. Dawson, H. Ayles, and B. van Ginneken, "Fusion of local and global detection systems to detect tuberculosis in chest radiographs," Medical Image Computing and Computer-Assisted Intervention-MICCAI 2010, pp. 650-657, 2010.
7. R. Shen, I. Cheng, and A. Basu, "A hybrid knowledge-guided detection technique for screening of infectious pulmonary tuberculosis from chest radiographs," Biomedical Engineering, IEEE Transactions on, vol. 57, no. 11, pp. 2646-2656, 2010.
8. T. Xu, I. Cheng, and M. Mandal, "Automated cavity detection of infectious pulmonary tuberculosis in chest radiographs," in 33rd Int. Conf. of the IEEE Engineering in Medicine and Biology Society (EMBS), 2011, pp. 5178-5181.
9. A. Hoog, H. Meme, H. van Deutekom, A. Mithika, C. Olunga, F. Onyino, and M. Borgdorff, "High sensitivity of chest radiograph reading by clinical officers in a tuberculosis prevalence survey," The International Journal of Tuberculosis and Lung Disease, vol. 15, no. 10, pp. 1308-1314, 2011.
10. B. van Ginneken, L. Hogeweg, and M. Prokop, "Computer-aided diagnosis in chest radiography: Beyond nodules," European Journal of Radiology, vol. 72, no. 2, pp. 226-230, 2009.
11. G. Lodwick, "Computer-aided diagnosis in radiology: A research plan," Investigative Radiology, vol. 1, no. 1, p. 72, 1966.
12. G. Lodwick, T. Keats, and J. Dorst, "The coding of roentgen images for computer analysis as applied to lung cancer," Radiology, vol. 81, no. 2, p. 185, 1963.
13. M. Freedman, S. Lo, J. Seibel, and C. Bromley, "Lung nodules: Improved detection with software that suppresses the rib and clavicle on chest radiographs," Radiology, vol. 260, no. 1, pp. 265-273, 2011.
14. B. Van Ginneken, B. ter Haar Romeny, and M. Viergever, "Computer-aided diagnosis in chest radiography: a survey," Medical Imaging, IEEE Transactions on, vol. 20, no. 12, pp. 1228-1241, 2001.
15. B. Van Ginneken, M. Stegmann, and M. Loog, "Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database," Medical Image Analysis, vol. 10, no. 1, pp. 19-40, 2006.
16. B. van Ginneken and B. ter Haar Romeny, "Automatic segmentation of lung fields in chest radiographs," Medical Physics, vol. 27, no. 10, pp. 2445-2455, 2000.
17. A. Dawoud, "Fusing shape information in lung segmentation in chest radiographs," Image Analysis and Recognition, pp. 70-78, 2010.
18. J. Shiraishi, S. Katsuragawa, J. Ikezoe, T. Matsumoto, T. Kobayashi, K. Komatsu, M. Matsui, H. Fujita, Y. Kodera, and K. Doi, "Development of a digital image database for chest radiographs with and without a lung nodule," American Journal of Roentgenology, vol. 174, no. 1, pp. 71-74, 2000.
19. "What are Log-Gabor filters and why are they good?" last viewed in March 2012, http://www.csse.uwa.edu.au/~pk/Research/MatlabFns/ PhaseCongruency/Docs/convexpl.html.
20. D. Field et al., "Relations between the statistics of natural images and the response properties of cortical cells," J. Opt. Soc. Am. A, vol. 4, no. 12, pp. 2379-2394, 1987.
21. S. Jaeger, C. Casas-Delucchi, M. Cardoso, and K. Palaniappan, "Classification of cell cycle phases in 3D confocal microscopy using PCNA and chromocenter features," in 7th Indian Conference on Computer Vision, Graphics, and Image Processing, Chennai (India), 2010, pp. 412-418.
22. T. Ojala, M. Pietikäinen, and D. Harwood, "A comparative study of texture measures with classification based on feature distributions," Pattern Recognition, vol. 29, pp. 51-59, 1996.
23. A. Frangi, W. Niessen, K. Vincken, and M. Viergever, "Multiscale vessel enhancement filtering," in Medical Image Computing and Computer-Assisted Intervention (MICCAI), 1998, pp. 130-137.
24. R. Kerekes, S. Gleason, N. Trivedi, and D. Solecki, "Automated 3-D tracking of centrosomes in sequences of confocal image stacks," in Int. Conf. of the IEEE Engineering in Medicine and Biology Society, vol. 1, 2009, pp. 6994-6997.
25. Y. Arzhaeva, D. Tax, and B. Van Ginneken, "Dissimilarity-based classification in the absence of local ground truth: Application to the diagnostic interpretation of chest radiographs," Pattern Recognition, vol. 42, no. 9, pp. 1768-1776, 2009.