Automatic detection of large pulmonary solid nodules in thoracic CT images

Medical Physics

Volumn 42, Issue 10, 2015, Pages 5642-5653

  Setio, Arnaud A A ^a   Jacobs, Colin ^a   Gelderblom, Jaap ^a   Van Ginneken, Bram ^a,b  

^a RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

^b FRAUNHOFER MEVIS   (Germany)

Author keywords

CAD system; computed tomography; detection; lung nodules

Indexed keywords

BIOLOGICAL ORGANS; COMPUTER AIDED DIAGNOSIS; COMPUTERIZED TOMOGRAPHY; IMAGE SEGMENTATION; MATHEMATICAL MORPHOLOGY; SUPPORT VECTOR MACHINES;

AUTOMATIC DETECTION; COMPUTED TOMOGRAPHY; COMPUTED TOMOGRAPHY IMAGES; COMPUTED TOMOGRAPHY SCAN; COMPUTER AIDED DETECTION SYSTEMS; DETECTION; FALSE POSITIVE; LUNG NODULE; PERFORMANCE; PULMONARY NODULES;

CLASSIFICATION (OF INFORMATION);

ALGORITHM; ARTICLE; COMPUTER ASSISTED RADIOGRAPHY; COMPUTER ASSISTED TOMOGRAPHY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; FALSE POSITIVE RESULT; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; LUNG NODULE; LUNG PARENCHYMA; PLEURA CAVITY; SENSITIVITY AND SPECIFICITY; SOLID TUMOR; SUPPORT VECTOR MACHINE; TUMOR VOLUME; AUTOMATION; COMPUTER ASSISTED DIAGNOSIS; FACTUAL DATABASE; LUNG; LUNG TUMOR; PROCEDURES; RADIOGRAPHY; THORAX RADIOGRAPHY;

AUTOMATION; DATABASES, FACTUAL; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LUNG; LUNG NEOPLASMS; RADIOGRAPHY, THORACIC; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84941072949     PISSN: 00942405     EISSN: 24734209     Source Type: Journal    
DOI: 10.1118/1.4929562     Document Type: Article

References (41)

1. American Cancer Society, Cancer Facts and Figures 2014, 2014.
2. D. R. Aberle, A. M. Adams, C. D. Berg, W. C. Black, J. D. Clapp, R. M. Fagerstrom, I. F. Gareen, C. Gatsonis, P. M. Marcus, and J. D. Sicks, " Reduced lung-cancer mortality with low-dose computed tomographic screening," N. Engl. J. Med. 365, 395-409 (2011). 10.1056/NEJMoa1102873
3. G. D. Rubin, J. K. Lyo, D. S. Paik, A. J. Sherbondy, L. C. Chow, A. N. Leung, R. Mindelzun, P. K. Schraedley-Desmond, S. E. Zinck, D. P. Naidich, and S. Napel, " Pulmonary nodules on multi-detector row CT scans: Performance comparison of radiologists and computer-aided detection," Radiology 234, 274-283 (2005). 10.1148/radiol.2341040589
4. K. N. Jeon, J. M. Goo, C. H. Lee, Y. Lee, J. Y. Choo, N. K. Lee, M.-S. Shim, I. S. Lee, K. G. Kim, D. S. Gierada, and K. T. Bae, " Computer-aided nodule detection and volumetry to reduce variability between radiologists in the interpretation of lung nodules at low-dose screening computed tomography," Invest. Radiol. 47, 457-461 (2012). 10.1097/RLI.0b013e318250a5aa
5. Y. Zhao, G. H. de Bock, R. Vliegenthart, R. J. van Klaveren, Y. Wang, L. Bogoni, P. A. de Jong, W. P. Mali, P. M. A. van Ooijen, and M. Oudkerk, " Performance of computer-aided detection of pulmonary nodules in low-dose CT: Comparison with double reading by nodule volume," Eur. Radiol. 22, 2076-2084 (2012). 10.1007/s00330-012-2437-y
6. S. Matsumoto, Y. Ohno, T. Aoki, H. Yamagata, M. Nogami, K. Matsumoto, Y. Yamashita, and K. Sugimura, " Computer-aided detection of lung nodules on multidetector CT in concurrent-reader and second-reader modes: A comparative study," Eur. J. Radiol. 82, 1332-1337 (2013). 10.1016/j.ejrad.2013.02.005
7. B. van Ginneken, C. M. Schaefer-Prokop, and M. Prokop, " Computer-aided diagnosis: How to move from the laboratory to the clinic," Radiology 261, 719-732 (2011). 10.1148/radiol.11091710
8. A. McWilliams, M. C. Tammemagi, J. R. Mayo, H. Roberts, G. Liu, K. Soghrati, K. Yasufuku, S. Martel, F. Laberge, M. Gingras, S. Atkar-Khattra, C. D. Berg, K. Evans, R. Finley, J. Yee, J. English, P. Nasute, J. Goffin, S. Puksa, L. Stewart, S. Tsai, M. R. Johnston, D. Manos, G. Nicholas, G. D. Goss, J. M. Seely, K. Amjadi, A. Tremblay, P. Burrowes, P. MacEachern, R. Bhatia, M.-S. Tsao, and S. Lam, " Probability of cancer in pulmonary nodules detected on first screening CT," N. Engl. J. Med. 369, 910-919 (2013). 10.1056/NEJMoa1214726
9. N. Horeweg, J. van Rosmalen, M. A. Heuvelmans, C. M. van der Aalst, R. Vliegenthart, E. T. Scholten, K. Ten Haaf, K. Nackaerts, J.-W. J. Lammers, C. Weenink, H. J. Groen, P. van Ooijen, P. A. de Jong, G. H. de Bock, W. Mali, H. J. de Koning, and M. Oudkerk, " Lung cancer probability in patients with CT-detected pulmonary nodules: A prespecified analysis of data from the Nelson trial of low-dose CT screening," Lancet Oncol. 15, 1332-1341 (2014). 10.1016/S1470-2045(14)70389-4
10. R. Yip, C. I. Henschke, D. F. Yankelevitz, and J. P. Smith, " CT screening for lung cancer: Alternative definitions of positive test result based on the national lung screening trial and international early lung cancer action program databases," Radiology 273, 591-596 (2014). 10.1148/radiol.14132950
11. D. S. Gierada, P. Pinsky, H. Nath, C. Chiles, F. Duan, and D. R. Aberle, " Projected outcomes using different nodule sizes to define a positive CT lung cancer screening examination," J. Natl. Cancer Inst. 106, 284-291 (2014). 10.1093/jnci/dju284
12. F. Beyer, L. Zierott, E. M. Fallenberg, K. U. Juergens, J. Stoeckel, W. Heindel, and D. Wormanns, " Comparison of sensitivity and reading time for the use of computer-aided detection (CAD) of pulmonary nodules at MDCT as concurrent or second reader," Eur. Radiol. 17, 2941-2947 (2007). 10.1007/s00330-007-0667-1
13. K. Murphy, B. van Ginneken, A. M. R. Schilham, B. J. de Hoop, H. A. Gietema, and M. Prokop, " A large scale evaluation of automatic pulmonary nodule detection in chest CT using local image features and k-nearest-neighbour classification," Med. Image Anal. 13, 757-770 (2009). 10.1016/j.media.2009.07.001
14. T. Messay, R. C. Hardie, and S. K. Rogers, " A new computationally efficient CAD system for pulmonary nodule detection in CT imagery," Med. Image Anal. 14, 390-406 (2010). 10.1016/j.media.2010.02.004
15. M. Tan, R. Deklerck, B. Jansen, M. Bister, and J. Cornelis, " A novel computer-aided lung nodule detection system for CT images," Med. Phys. 38, 5630-5645 (2011). 10.1118/1.3633941
16. A. Riccardi, T. S. Petkov, G. Ferri, M. Masotti, and R. Campanini, " Computer-aided detection of lung nodules via 3d fast radial transform, scale space representation, and zernike mip classification," Med. Phys. 38, 1962-1971 (2011). 10.1118/1.3560427
17. W. Guo and Q. Li, " High performance lung nodule detection schemes in CT using local and global information," Med. Phys. 39, 5157-5168 (2012). 10.1118/1.4737109
18. D. Cascio, R. Magro, F. Fauci, M. Iacomi, and G. Raso, " Automatic detection of lung nodules in CT datasets based on stable 3D mass-spring models," Comput. Biol. Med. 42, 1098-1109 (2012). 10.1016/j.compbiomed.2012.09.002
19. A. Teramoto and H. Fujita, " Fast lung nodule detection in chest CT images using cylindrical nodule-enhancement filter," Int. J. Comput. Assisted Radiol. Surg. 8, 193-205 (2013). 10.1007/s11548-012-0767-5
20. M. Tan, R. Deklerck, J. Cornelis, and B. Jansen, " Phased searching with neat in a time-scaled framework: Experiments on a computer-aided detection system for lung nodules," Artif. Intell. Med. 59, 157-167 (2013). 10.1016/j.artmed.2013.07.002
21. W.-J. Choi and T.-S. Choi, " Automated pulmonary nodule detection system in computed tomography images: A hierarchical block classification approach," Entropy 15, 507-523 (2013). 10.3390/e15020507
22. E. L. Torres, E. Fiorina, F. Pennazio, C. Peroni, M. Saletta, N. Camarlinghi, M. E. Fantacci, and P. Cerello, " Large scale validation of the M5L lung CAD on heterogeneous CT datasets," Med. Phys. 42, 1477-1489 (2015). 10.1118/1.4907970
23. B. van Ginneken, S. G. Armato, B. de Hoop, S. van de Vorst, T. Duindam, M. Niemeijer, K. Murphy, A. M. R. Schilham, A. Retico, M. E. Fantacci, N. Camarlinghi, F. Bagagli, I. Gori, T. Hara, H. Fujita, G. Gargano, R. Belloti, F. D. Carlo, R. Megna, S. Tangaro, L. Bolanos, P. Cerello, S. C. Cheran, E. L. Torres, and M. Prokop, " Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study," Med. Image Anal. 14, 707-722 (2010). 10.1016/j.media.2010.05.005
24. H. MacMahon, J. H. M. Austin, G. Gamsu, C. J. Herold, J. R. Jett, D. P. Naidich, E. F. Patz, S. J. Swensen, and the Fleischner Society, " Guidelines for management of small pulmonary nodules detected on CT scans: A statement from the Fleischner Society," Radiology 237, 395-400 (2005). 10.1148/radiol.2372041887
25. R. J. van Klaveren, M. Oudkerk, M. Prokop, E. T. Scholten, K. Nackaerts, R. Vernhout, C. A. van Iersel, K. A. M. van den Bergh, S. van 't Westeinde, C. van der Aalst, E. Thunnissen, D. M. Xu, Y. Wang, Y. Zhao, H. A. Gietema, B. de Hoop, H. J. M. Groen, G. H. de Bock, P. van Ooijen, C. Weenink, J. Verschakelen, J. J. Lammers, W. Timens, D. Willebrand, A. Vink, W. Mali, and H. J. de Koning, " Management of lung nodules detected by volume CT scanning," N. Engl. J. Med. 361, 2221-2229 (2009). 10.1056/NEJMoa0906085
26. J. H. Pedersen, H. Ashraf, A. Dirksen, K. Bach, H. Hansen, P. Toennesen, H. Thorsen, J. Brodersen, B. G. Skov, M. Dossing, 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. 4, 608-614 (2009). 10.1097/JTO.0b013e3181a0d98f
27. N. L. S. T. R. Team, D. R. Aberle, C. D. Berg, W. C. Black, T. R. Church, R. M. Fagerstrom, B. Galen, I. F. Gareen, C. Gatsonis, J. Goldin, J. K. Gohagan, B. Hillman, C. Jaffe, B. S. Kramer, D. Lynch, P. M. Marcus, M. Schnall, D. C. Sullivan, D. Sullivan, and C. J. Zylak, " The national lung screening trial: Overview and study design," Radiology 258, 243-253 (2011). 10.1148/radiol.10091808
28. S. G. Armato, G. McLennan, L. Bidaut, M. F. McNitt-Gray, C. R. Meyer, A. P. Reeves, B. Zhao, D. R. Aberle, C. I. Henschke, E. A. Hoffman, E. A. Kazerooni, H. MacMahon, E. J. R. V. Beek, D. Yankelevitz, A. M. Biancardi, P. H. Bland, M. S. Brown, R. M. Engelmann, G. E. Laderach, D. Max, R. C. Pais, D. P. Y. Qing, R. Y. Roberts, A. R. Smith, A. Starkey, P. Batrah, P. Caligiuri, A. Farooqi, G. W. Gladish, C. M. Jude, R. F. Munden, I. Petkovska, L. E. Quint, L. H. Schwartz, B. Sundaram, L. E. Dodd, C. Fenimore, D. Gur, N. Petrick, J. Freymann, J. Kirby, B. Hughes, A. V. Casteele, S. Gupte, M. Sallamm, M. D. Heath, M. H. Kuhn, E. Dharaiya, R. Burns, D. S. Fryd, M. Salganicoff, V. Anand, U. Shreter, S. Vastagh, and B. Y. Croft, " The lung image database consortium (LIDC) and image database resource initiative (IDRI): A completed reference database of lung nodules on CT scans," Med. Phys. 38, 915-931 (2011). 10.1118/1.3528204
29. D. P. Naidich, A. A. Bankier, H. MacMahon, C. M. Schaefer-Prokop, M. Pistolesi, J. M. Goo, P. Macchiarini, J. D. Crapo, C. J. Herold, J. H. Austin, and W. D. Travis, " Recommendations for the management of subsolid pulmonary nodules detected at CT: A statement from the Fleischner Society," Radiology 266, 304-317 (2013). 10.1148/radiol.12120628
30. D. Manos, J. M. Seely, J. Taylor, J. Borgaonkar, H. C. Roberts, and J. R. Mayo, " The lung reporting and data system (lu-rads): A proposal for computed tomography screening," Can. Assoc. Radiol., J. 65, 121-134 (2014). 10.1016/j.carj.2014.03.004
31. D. M. Xu, H. Gietema, H. de Koning, R. Vernhout, K. Nackaerts, M. Prokop, C. Weenink, J. Lammers, H. Groen, M. Oudkerk, and R. van Klaveren, " Nodule management protocol of the NELSON randomised lung cancer screening trial," Lung Cancer 54, 177-184 (2006). 10.1016/j.lungcan.2006.08.006
32. C. Jacobs, E. M. van Rikxoort, T. Twellmann, E. T. Scholten, P. A. de Jong, J. M. Kuhnigk, M. Oudkerk, H. J. de Koning, M. Prokop, C. Schaefer-Prokop, and B. van Ginneken, " Automatic detection of subsolid pulmonary nodules in thoracic computed tomography images," Med. Image Anal. 18, 374-384 (2014). 10.1016/j.media.2013.12.001
33. E. M. van Rikxoort, B. de Hoop, M. A. Viergever, M. Prokop, and B. van Ginneken, " Automatic lung segmentation from thoracic computed tomography scans using a hybrid approach with error detection," Med. Phys. 36, 2934-2947 (2009). 10.1118/1.3147146
34. J. M. Kuhnigk, V. Dicken, L. Bornemann, A. Bakai, D. Wormanns, S. Krass, and H. O. Peitgen, " Morphological segmentation and partial volume analysis for volumetry of solid pulmonary lesions in thoracic CT scans," IEEE Trans. Med. Imaging 25, 417-434 (2006). 10.1109/TMI.2006.871547
35. Q. Li, S. Sone, and K. Doi, " Selective enhancement filters for nodules, vessels, and airway walls in two- and three-dimensional CT scans," Med. Phys. 30, 2040-2051 (2003). 10.1118/1.1581411
36. N. Horeweg, C. M. van der Aalst, E. Thunnissen, K. Nackaerts, C. Weenink, H. J. M. Groen, J.-W. J. Lammers, J. G. Aerts, E. T. Scholten, J. van Rosmalen, W. Mali, M. Oudkerk, and H. J. de Koning, " Characteristics of lung cancers detected by computer tomography screening in the randomized Nelson trial," Am. J. Respir. Crit. Care Med. 187, 848-854 (2013). 10.1164/rccm.201209-1651OC
37. V. Vapnik, The Nature of Statistical Learning Theory (Springer-Verlag, New York, NY, 1995).
38. C.-C. Chang and C.-J. Lin, " LIBSVM: A library for support vector machines," ACM Trans. Intell. Syst. Technol. 2, 1-27 (2011), available at http://www.csie.ntu.edu.tw/~cjlin/libsvm. 10.1145/1961189.1961199
39. M. S. Brown, P. Lo, J. G. Goldin, E. Barnoy, G. H. J. Kim, M. F. McNitt-Gray, and D. R. Aberle, " Toward clinically usable CAD for lung cancer screening with computed tomography," Eur. Radiol. 24, 2719-2728 (2014). 10.1007/s00330-014-3329-0
40. W.-J. Choi and T.-S. Choi, " Automated pulmonary nodule detection based on three-dimensional shape-based feature descriptor," Comput. Methods Programs Biomed. 113, 37-54 (2013). 10.1016/j.cmpb.2013.08.015
41. N. Camarlinghi, I. Gori, A. Retico, R. Bellotti, P. Bosco, P. Cerello, G. Gargano, E. L. Torres, R. Megna, M. Peccarisi, and M. E. Fantacci, " Combination of computer-aided detection algorithms for automatic lung nodule identification," Int. J. Comput. Assisted Radiol. Surg. 7, 455-464 (2011). 10.1007/s11548-011-0637-6