Computer-aided detection and quantification of cavitary tuberculosis from CT scans

Medical Physics

Volumn 40, Issue 11, 2013, Pages

  Xu, Ziyue ^a   Bagci, Ulas ^a   Kubler, Andre ^b,c   Luna, Brian ^b   Jain, Sanjay ^b   Bishai, William R ^b,d   Mollura, Daniel J ^a  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

^b JOHNS HOPKINS UNIVERSITY   (United States)

^c IMPERIAL COLLEGE LONDON   (United Kingdom)

^d HOWARD HUGHES MEDICAL INSTITUTE   (United States)

Author keywords

airway tree; cavitary tuberculosis; computer aided detection; fuzzy connectedness; segmentation

Indexed keywords

COMPUTER AIDED DIAGNOSIS; COMPUTER OPERATING SYSTEMS; EFFICIENCY; FUZZY SYSTEMS; IMAGE SEGMENTATION; MATHEMATICAL TRANSFORMATIONS; SIGNAL DETECTION; SUPPORT VECTOR MACHINES; TREES (MATHEMATICS); TUBES (COMPONENTS);

AIRWAY TREES; CAVITARY TUBERCULOSIS; COMPUTED TOMOGRAPHY SCAN; COMPUTER AIDED DETECTION; FUZZY CONNECTEDNESS; INTEROBSERVER AGREEMENT; MORPHOLOGICAL INFORMATION; SUPPORT VECTOR MACHINE CLASSIFICATION;

COMPUTERIZED TOMOGRAPHY;

AIR; AIRWAY; ARTICLE; AUTOMATION; CLASSIFICATION ALGORITHM; COMPUTED TOMOGRAPHY SCANNER; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; ESOPHAGUS; FUZZY SYSTEM; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE RECONSTRUCTION; LUNG; LUNG TUBERCULOSIS; METHODOLOGY; MYCOBACTERIUM TUBERCULOSIS; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; RADIOLOGIST; SCORING SYSTEM; SUPPORT VECTOR MACHINE; TUBERCULOSIS; ALGORITHM; ANIMAL; AUTOMATED PATTERN RECOGNITION; FUZZY LOGIC; LABORATORY DIAGNOSIS; MICROBIOLOGY; OBSERVER VARIATION; PATHOLOGY; RABBIT; RADIOGRAPHY; REPRODUCIBILITY; STATISTICAL MODEL;

ORYCTOLAGUS CUNICULUS;

ALGORITHMS; ANIMALS; FALSE POSITIVE REACTIONS; FUZZY LOGIC; LINEAR MODELS; LUNG; OBSERVER VARIATION; PATTERN RECOGNITION, AUTOMATED; RABBITS; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SUPPORT VECTOR MACHINES; TOMOGRAPHY, X-RAY COMPUTED; TUBERCULOSIS, PULMONARY;

EID: 84889677853     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.4824979     Document Type: Article

References (39)

1. Global Tuberculosis Report 2012 (World Health Organization, Geneva, 2012), p. 273.
2. R. L. Hunter, " Pathology of post primary tuberculosis of the lung: An illustrated critical review.," Tuberculosis 91, 497-509 (2011). 10.1016/j.tube.2011.03.007
3. M. A. Yoder, G. Lamichhane, and W. R. Bishai, " Cavitary pulmonary tuberculosis: The holy grail of disease transmission.," Curr. Sci. 86, 74-81 (2004).
4. P. T. Elkington, J. M. D'Armiento, and J. S. Friedland, " Tuberculosis immunopathology: The neglected role of extracellular matrix destruction.," Sci. Transl. Med. 3, 71ps6 (2011). 10.1126/scitranslmed. 3001847
5. G. Canetti, The Tubercle Bacillus in the Pulmonary Lesion of Man: Histobacteriology and its Bearing on the Therapy of Pulmonary Tuberculosis (Springer, New York, 1955).
6. M. E. Visser, M. C. Stead, G. Walzl, R. Warren, M. Schomaker, H. M. S. Grewal, E. C. Swart, and G. Maartens, " Baseline predictors of sputum culture conversion in pulmonary tuberculosis: Importance of cavities, smoking, time to detection and w-beijing genotype.," PLoS ONE 7, e29588 (2012). 10.1371/journal.pone.0029588
7. A. Zumla, M. Raviglione, R. Hafner, and C. Fordham von Reyn, " Tuberculosis.," N. Engl. J. Med. 368, 745-755 (2013). 10.1056/NEJMra1200894
8. S. L. Primack, P. M. Logan, T. E. Hartman, K. S. Lee, and N. L. Muller, " Pulmonary tuberculosis and Mycobacterium avium-intracellulare: A comparison of CT findings.," Radiology 194, 413-417 (1995).
9. Y. J. Jeong, K. S. Lee, W. J. Koh, J. Han, T. S. Kim, and O. J. Kwon, " Nontuberculous mycobacterial pulmonary infection in immunocompetent patients: Comparison of thin-section CT and histopathologic findings.," Radiology 231, 880-886 (2004). 10.1148/radiol.2313030833
10. U. Bagci, M. Bray, J. Caban, J. Yao, and D. J. Mollura, " Computer-assisted detection of infectious lung diseases: A review.," Comput. Med. Imaging Graph. 36, 72-84 (2012). 10.1016/j.compmedimag.2011.06.002
11. T. Xu, I. Cheng, and M. Mandal, " An improved fluid vector flow for cavity segmentation in chest radiographs.," in Proceedings of the International Conference on Pattern Recognition 2010, Istanbul, Turkey (IEEE Computer Society, Washington, DC, 2010), pp. 3376 -3379.
12. C. Vidal, J. Hewitt, S. Davis, L. Younes, S. Jain, and B. Jedynak, " Template registration with missing parts: Application to the segmentation of M. tuberculosis infected lungs.," in Proceedings of the IEEE International Symposium on Biomedical Imaging 2009, Boston, MA (IEEE Press, Piscataway, NJ, 2009), pp. 718-721.
13. C. Vidal, D. Beggs, L. Younes, S. Jain, and B. Jedynak, " Incorporating user input in template-based segmentation.," in Proceedings of the IEEE International Symposium on Biomedical Imaging 2011, Chicago, IL (IEEE Press, Piscataway, NJ, 2011), pp. 1434-1437.
14. J. K. Udupa and S. Samarasekera, " Fuzzy connectedness and object definition: Theory, algorithms, and applications in image segmentation.," CVGIP: Graph. Models Image Process. 58, 246-261 (1996). 10.1006/gmip.1996.0021
15. U. Bagci, J. Yao, A. Wu, J. Caban, T. N. Palmore, A. F. Suffredini, O. Aras, and D. J. Mollura, " Automatic detection and quantification of tree-in-bud (TIB) opacities from CT scans.," IEEE Trans. Biomed. Eng. 59, 1620-1632 (2012). 10.1109/TBME.2012.2190984
16. S. Hu, E. Hoffman, and J. Reinhardt, " Automatic lung segmentation for accurate quantitation of volumetric x-ray CT images.," IEEE Trans. Med. Imaging 20, 490-498 (2001). 10.1109/42.929615
17. D. Aykac, E. A. Hoffman, G. McLennan, and J. M. Reinhardt, " Segmentation and analysis of the human airway tree from three-dimensional x-ray CT images.," IEEE Trans. Med. Imaging 22, 940-950 (2003). 10.1109/TMI.2003.815905
18. A. Frangi, W. Niessen, K. Vincken, and M. Viergever, " Multiscale vessel enhancement filtering.," Medical Image Computing and Computer Assisted Intervention 1998 (Springer, Berlin Heidelberg, 1998), Vol. 1496, pp. 130-137.
19. C. Cortes and V. Vapnik, " Support-vector networks.," Mach. Learn. 20, 273-297 (1995). 10.1023/A:1022627411411
20. J. Yao, A. Dwyer, R. M. Summers, and D. J. Mollura, " Computer-aided diagnosis of pulmonary infections using texture analysis and support vector machine classification.," Acad. Radiol. 18, 306-314 (2011). 10.1016/j.acra.2010.11.013
21. I. Sluimer, A. Schilham, M. Prokop, and B. Van Ginneken, " Computer analysis of computed tomography scans of the lung: A survey.," IEEE Trans. Med. Imaging 25, 385-405 (2006). 10.1109/TMI.2005.862753
22. S. Katsuragawa and K. Doi, " Computer-aided diagnosis in chest radiography.," Comput. Med. Imaging Graph. 31, 212-223 (2007). 10.1016/j.compmedimag.2007.02.003
23. P. K. Saha and J. K. Udupa, " Fuzzy connected object delineation: Axiomatic path strength definition and the case of multiple seeds.," Comput. Vis. Image Underst. 83, 275-295 (2001). 10.1006/cviu.2001.0927
24. C. R. Maurer, Jr., R. Qi, and V. Raghavan, " A linear time algorithm for computing exact euclidean distance transforms of binary images in arbitrary dimensions.," IEEE Trans. Pattern Anal. Mach. Intell. 25, 265-270 (2003). 10.1109/TPAMI.2003.1177156
25. Biosafety in Microbiological and Biomedical Laboratories (Centers for Disease Control and Prevention, Atlanta, 2009), p. 30.
26. P. Lo, B. van Ginneken, J. Reinhardt, and M. de Bruijne, " Extraction of airways from CT (EXACT'09).," in Proceedings of the Second International Workshop on Pulmonary Image Analysis, London, UK (2009), pp. 175-189.
27. Z. Xu, U. Bagci, B. Foster, and D. Mollura, " A hybrid multi-scale approach to automatic airway tree segmentation from CT scans.," in Proceedings of the IEEE International Symposium on Biomedical Imaging 2013, San Francisco, CA (IEEE Press, Piscataway, NJ, 2013), pp. 1308-1311.
28. D. Legland, K. Kieu, and M.-F. Devaux, " Computation of Minkowski measures on 2D and 3D binary images.," Image Anal. Stereol. 26, 83-92 (2007). 10.5566/ias.v26.p83-92
29. K. Robinson and P. F. Whelan, " Efficient morphological reconstruction: A downhill filter.," Pattern Recogn. Lett. 25, 1759-1767 (2004). 10.1016/j.patrec.2004.07.002
30. K. R. Steingart, V. Ng, M. Henry, P. C. Hopewell, A. Ramsay, J. Cunningham, R. Urbanczik, M. D. Perkins, M. A. Aziz, and M. Pai, " Sputum processing methods to improve the sensitivity of smear microscopy for tuberculosis: A systematic review.," Lancet Infect. Dis. 6, 664-674 (2006). 10.1016/S1473-3099(06)70602-8
31. J. L. Davis, " Clinical and radiographic factors do not accurately diagnose smear-negative tuberculosis in HIV-infected inpatients in Uganda: A cross-sectional study.," PloS ONE 5, e9859 (2010). 10.1371/journal.pone. 0009859
32. D. Benator, " Rifapentine and isoniazid once a week versus rifampicin and isoniazid twice a week for treatment of drug-susceptible pulmonary tuberculosis in HIV-negative patients: A randomised clinical trial. " Lancet 360, 528-534 (2002). 10.1016/S0140-6736(02)09742-8
33. J. G. Im, H. Itoh, Y. S. Shim, J. H. Lee, J. Ahn, M. C. Han, and S. Noma, " Pulmonary tuberculosis: CT findings-early active disease and sequential change with antituberculous therapy.," Radiology 186, 653-660 (1993).
34. Y. Demura, T. Tsuchida, D. Uesaka, Y. Umeda, M. Morikawa, S. Ameshima, T. Ishizaki, Y. Fujibayashi, and H. Okazawa, " Usefulness of 18f-fluorodeoxyglucose positron emission tomography for diagnosing disease activity and monitoring therapeutic response in patients with pulmonary mycobacteriosis.," Eur. J. Nucl. Med. Mol. Imaging 36, 632-639 (2009). 10.1007/s00259-008-1009-5
35. J.-J. Lee, P.-Y. Chong, C.-B. Lin, A.-H. Hsu, and C.-C. Lee, " High resolution chest CT in patients with pulmonary tuberculosis: Characteristic findings before and after antituberculous therapy.," Eur. J. Radiol. 67, 100-104 (2008). 10.1016/j.ejrad.2007.07.009
36. R. Long, B. Maycher, A. Dhar, J. Manfreda, E. Hershfield, and N. Anthonisen, " Pulmonary tuberculosis treated with directly observed therapy serial changes in lung structure and function.," Chest 113, 933-943 (1998). 10.1378/chest.113.4.933
37. H. Lee, J. Oh, J. Lee, C. Yoo, C.-T. Lee, Y. Kim, S. Han, Y.-S. Shim, and J. Yim, " Response of pulmonary tuberculomas to anti-tuberculous treatment.," Eur. Respir. J. 23, 452-455 (2004). 10.1183/09031936.04. 00087304
38. Y. Ohno, D. Takenaka, T. Kanda, T. Yoshikawa, S. Matsumoto, N. Sugihara, and K. Sugimura, " Adaptive iterative dose reduction using 3D processing for reduced-and low-dose pulmonary CT: Comparison with standard-dose CT for image noise reduction and radiological findings.," Am. J. Roentgenol. 199, W477-W485 (2012). 10.2214/AJR.11.8275
39. R. Fanous, H. Kashani, L. Jimenez, G. Murphy, and N. S. Paul, " Image quality and radiation dose of pulmonary CT angiography performed using 100 and 120 kVp.," Am. J. Roentgenol. 199, 990-996 (2012). 10.2214/AJR.11.8208