Automated detection of lung nodules in CT scans: Effect of image reconstruction algorithm

Medical Physics

Volumn 30, Issue 3, 2003, Pages 461-472

  Armato III, Samuel G ^a   Altman, Michael B ^a   La Rivière, Patrick J ^a  

^a UNIVERSITY OF CHICAGO   (United States)

Author keywords

Computed tomography; Computer aided diagnosis (CAD); Image processing; Image reconstruction; Lung nodules

Indexed keywords

AUTOMATION; BIOLOGICAL ORGANS; CLASSIFICATION (OF INFORMATION); COMPUTER AIDED DIAGNOSIS; DATABASE SYSTEMS; IMAGE PROCESSING; IMAGE RECONSTRUCTION;

AUTOMATED LUNG NODULE DETECTION; COMPUTER AIDED DIAGNOSIS(CAD); DEGREE OF ROBUSTNESS; IMAGE RECONSTRUCTION ALGORITHM; LINEAR DISCRIMINANT CLASSIFIER; LUNG NODULE; RECONSTRUCTION ALGORITHMS; THRESHOLDING TECHNIQUES;

COMPUTERIZED TOMOGRAPHY;

ADULT; AGED; ALGORITHM; ARTICLE; CALIBRATION; CLINICAL ARTICLE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; DATA BASE; FEMALE; HUMAN; IMAGE PROCESSING; IMAGE RECONSTRUCTION; INTERMETHOD COMPARISON; LUNG NODULE; MALE; PERFORMANCE; PRIORITY JOURNAL;

EID: 0037342984     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.1544679     Document Type: Article

References (47)

1. P. F. Judy and R. G. Swensson, "Detection of small focal lesions in CT images: Effects of reconstruction filters and visual display windows," Br. J. Radiol. 58, 137-145 (1985).
2. G. Dougherty and D. Newman, "Measurement of thickness and density of thin structures by computed tomography: A simulation study," Med. Phys. 26, 1341-1348 (1999).
3. S. Prevrhal, K. Engelke, and W. A. Kalender, "Accuracy limits for the determination of cortical width and density: The influence of object size and CT imaging parameters," Phys. Med. Biol. 44, 751-764 (1999).
4. W. A. Kalender, Computed Tomography (Publicis MCD Verlag, Munich, 2000).
5. G. J. Kemerink, R. J. S. Lamers, B. J. Pellis, H. H. Kruize, and J. M. A. van Engelshoven, "On segmentation of lung parenchyma in quantitative computed tomography of the lung," Med. Phys. 25, 2432-2439 (1998).
6. M. L. Giger et al., "An intelligent workstation for computer-aided diagnosis," Radiographics 13, 647-656 (1993).
7. M. L. Giger and H. MacMahon, "Image processing and computer-aided diagnosis," Radiol. Clin. North. Am. 34, 565-596 (1996).
8. H.-P. Chan, K. Doi, C. J. Vyborny, R. A. Schmidt, C. E. Metz, K. L. Lam, T. Ogura, Y. Wu, and H. MacMahon, "Improvement in radiologists' detection of clustered microcalcifications on mammograms: The potential of computer-aided diagnosis," Invest. Radiol. 25, 1102-1110 (1990).
9. T. Kobayashi, X.-W. Xu, H. MacMahon, C. E. Metz, and K. Doi, "Effectof a computer-aided diagnosis scheme on radiologists' performance in detection of lung nodules on radiographs," Radiology 199. 843-848 (1996).
10. M. C. Difazio, H. MacMahon, X.-W. Xu, P. Tsai, J. Shiraishi, S. G. Armato III, and K. Doi, "Digital chest radiography: Effect of temporal subtraction images on detection accuracy," Radiology 202, 447-452 (1997).
11. Y. Jiang, R. M. Nishikawa, R. A. Schmidt, C. E. Metz, M. L. Giger, and K. Doi, "Improving breast cancer diagnosis with computer-aided diagnosis," Acad. Radiol. 6, 22-33 (1999).
12. H. MacMahon, R. Engelmann, F. M. Behlen, K. R. Hoffmann, T. Ishida, C. Roe, C. E. Metz, and K. Doi, "Computer-aided diagnosis of pulmonary nodules: Results of a large-scale observer test," Radiology 213, 723-726 (1999).
13. B. Zheng, M. A. Ganott, C. A. Britton, C. M. Hakim, L. A. Hardesty, T. S. Chang, H. E. Rockette, and D. Gur, "Soft-copy mammographic readings with different computer-assisted detection cuing environments: Preliminary findings," Radiology 221, 633-640 (2001).
14. C. S. White, B. M. Romney, A. C. Mason, J. H. Austin, B. H. Miller, and Z. Protopapas, "Primary carcinoma of the lung overlooked at CT: Analysis of findings in 14 patients," Radiology 199, 109-115 (1996).
15. M. L. Giger, K. T. Bae, and H. MacMahon, "Computerized detection of pulmonary nodules in computed tomography images," Invest. Radiol. 29, 459-465 (1994).
16. K. Kanazawa, M. Kubo. N. Niki, H. Satoh, H. Ohmatsu, K. Eguchi, and N. Moriyama, "Computer assisted lung cancer diagnosis based on helical images," in Image Analysis Applications and Computer Graphics, Proceedings of the 3rd International Computer Science Conference, edited by R. T. Chin, H. H. S. Ip, A. C. Naiman, and T.-C. Pong (Springer-Verlag, Berlin, 1995), pp. 323-330.
17. W. J. Ryan, J. E. Reed, S. J. Swensen, and P. F. Sheedy, Jr., "Automatic detection of pulmonary nodules in CT," in Proceedings of Computer Assisted Radiology, edited by H. U. Lemke, M. W. Vannier, K. Inamura, and A. G. Farman (Elsevier Science, Amsterdam, 1996), pp. 385-389.
18. T. Okumura, T. Miwa, J. Kako, S. Yamamoto, M. Matsumoto, Y. Tateno, T. Iinuma, and T. Matsumoto, "Image processing for computer-aided diagnosis of lung cancer screening system by CT (LSCT)," Proc. SPIE 3338, 1314-1322 (1998).
19. M. Fiebich, C. Wietholt, B. C. Renger, S. G. Armato III, K. R. Hoffmann, D. Wormanns, and S. Diederich, "Automatic detection of pulmonary nodules in low-dose screening thoracic CT examinations," Proc. SPIE 3661, 1434-1439 (1999).
20. S.-L. Lou, C.-L. Chang, K.-P. Lin, and T.-S. Chen, "Object-based deformation technique for 3-D CT lung nodule detection," Proc. SPIE 3661, 1544-1552 (1999).
21. H. Satoh, Y. Ukai, N. Niki, K. Eguchi, K. Mori, H. Ohmatsu, R. Kakinuma, M. Kaneko, and N. Moriyama, "Computer aided diagnosis system for lung cancer based on retrospective helical CT image," Proc. SPIE 3661, 1324-1335 (1999).
22. H. Taguchi, Y. Kawata, N. Niki, H. Satoh, H. Ohmatsu, R. Kakinuma, K. Eguchi, M. Kaneko, and N. Moriyama, "Lung cancer detection based on helical CT images using curved surface morphology analysis," Proc. SPIE 3661, 1307-1314 (1999).
23. S. G. Armato III, M. L. Giger, and H. MacMahon, "Automated detection of lung nodules in CT scans: Preliminary results," Med. Phys. 28, 1552-1561 (2001).
24. M. S. Brown, M. F. McNitt-Gray, J. G. Goldin, R. D. Suh, J. W. Sayre, and D. R. Aberle, "Patient-specific models for lung nodule detection and surveillance in CT images," IEEE Trans. Med. Imaging 20, 1242-1250 (2001).
25. L. Fan, C. L. Novak, J. Qian, G. Kohl, and D. P. Naidich, "Automatic detection of lung nodules from multi-slice low-dose CT images," Proc. SPIE 4322, 1828-1835 (2001).
26. M. Fiebich, D. Wormanns, and W. Heindel, "Improvement of method for computer-assisted detection of pulmonary nodules in CT of the chest," Proc. SPIE 4322, 702-709 (2001).
27. M. N. Gurcan, N. Petrick, B. Sahiner, H.-P. Chan, P. N. Cascade, E. A. Kazerooni, and L. M. Hadjiiski, "Computerized lung nodule detection on thoracic CT images: Combined rule-based and statistical classifier for false positive reduction," Proc. SPIE 4322, 686-692 (2001).
28. J. P. Ko and M. Betke, "Chest CT: Automated nodule detection and assessment of change over time - preliminary experience," Radiology 218, 267-273 (2001).
29. Y. Lee, T. Hara, H. Fujita, S. Itoh, and T. Ishigaki, "Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique," IEEE Trans. Med. Imaging 20, 595-604 (2001).
30. L. R. van Elmbt, A. Keyeux, and R. Demeure, "Validation of automated brain contour determination in normal and abnormal cerebral single-photon emission tomography," Eur. J. Nucl. Med. 22, 537-542 (1995).
31. E. E. Fitchard et al., "Registration using tomographic projection files," Phys. Med. Biol. 44, 495-507 (1999).
32. N. C. Linney and P. H. Gregson, "Organ motion detection in CT images using opposite rays in fan-beam projection systems," IEEE Trans. Med. Imaging 20, 1109-1122 (2001).
33. R. M. Nishikawa, M. L. Giger, K. Doi, C. E. Metz, F.-F. Yin, C. J. Vyborny, and R. A. Schmidt, "Effect of case selection on the performance of computer-aided detection schemes," Med. Phys. 21, 265-269 (1994).
34. R. M. Nishikawa, K. Doi, M. L. Giger, R. A. Schmidt, C. J. Vyborny, L. Monnier-Cholley, J. Papaioannou, and P. Lu, "Computerized detection of clustered microcalcifications: Evaluation of performance on mammograms from multiple centers," Radiographics 15, 443-452 (1995).
35. R. M. Nishikawa, J. Papaioannou, and S. A. Collins, "Reproducibility of an automated scheme for the detection of clustered microcalcifications on digital mammograms," Proc. SPIE 2710, 24-29 (1996).
36. Z. Huo, M. L. Giger, C. J. Vyborny, D. E. Wolverton, and C. E. Metz, "Computerized classification of benign and malignant masses on digitized mammograms: A study of robustness," Acad. Radiol. 7, 1077-1084 (2000).
37. Y. Jiang, R. M. Nishikawa, M. M. Maloney, and M. L. Giger, "Computer classification of malignant and benign microcalcifications in small-field digital mammography," in IWDM 2000, 5th International Workshop on Digital Mammography, edited by M. J. Yaffe (Medical Physics, Madison, 2001), pp. 237-242.
38. L. M. Yarusso, R. M. Nishikawa, J. Papaioannou, R. Nagel, and P. Jokich, "Application of computer-aided diagnosis to full-field digital mammography," in Ref. 37, pp. 421-426.
39. S. G. Armato III, M. L. Giger, J. T. Blackburn, K. Doi, and H. MacMahon, "Three-dimensional approach to lung nodule detection in helical CT," Proc. SPIE 3661, 553-559 (1999).
40. S. G. Armato III, M. L. Giger, C. J. Moran, J. T. Blackburn, K. Doi, and H. MacMahon, "Computerized detection of pulmonary nodules on CT scans," Radiographics 19, 1303-1311 (1999).
41. S. G. Armato III, M. L. Giger, and H. MacMahon, "Analysis of a three-dimensional lung nodule detection method for thoracic CT scans," Proc. SPIE 3979, 103-109 (2000).
42. S. G. Armato III, M. L. Giger, K. Doi, and H. MacMahon, "Computerized lung nodule detection: Comparison of performance for low-dose and standard-dose helical CT scans," Proc. SPIE 4322, 1449-1454 (2001).
43. R. T. Droege and R. L. Morin, "A practical method to measure the MTF of CT scanners," Med. Phys. 9, 758-760 (1982).
44. R. A. Johnson and D. W. Wichern, Applied Multivariate Statistical Analysis (Prentice-Hall, Englewood Cliffs, NJ, 1992).
45. C. E. Metz, "ROC methodology in radiologic imaging," Invest. Radiol. 21, 720-733 (1986).
46. P. C. Bunch, J. F. Hamilton, G. K. Sanderson, and A. H. Simmons, "A free response approach to the measurement and characterization of radiographic observer performance," Proc. SPIE 127, 124-135 (1977).
47. C. E. Metz, B. A. Herman, and J.-H. Shen, "Maximum likelihood estimation of receiver operating characteristic (ROC) curves from continuously-distributed data," Stat. Med. 17, 1033-1053 (1998).