Local Contralateral Subtraction Based on Bilateral Symmetry of Lung for Reduction of False Positives in Computerized Detection of Pulmonary Nodules

IEEE Transactions on Biomedical Engineering

Volumn 51, Issue 5, 2004, Pages 778-789

  Yoshida, Hiroyuki ^a  

^a UNIVERSITY OF CHICAGO   (United States)

Author keywords

Bilateral symmetry of lung; Biomedical image processing; Image registration; Lung nodules; Medical diagnosis; Wavelet transforms

Indexed keywords

BIOMEDICAL ENGINEERING; COMPUTER AIDED DIAGNOSIS; ERROR DETECTION; IMAGING SYSTEMS; RADIOGRAPHY;

ANATOMIC STRUCTURES; CHEST RADIOGRAPHS; LUNG NODULES;

RESPIRATORY SYSTEM;

ARTICLE; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED STUDY; HUMAN; IMAGE ANALYSIS; IMAGE SUBTRACTION; IMAGING SYSTEM; LOCAL CONTRALATERAL SUBTRACTION; LUNG; LUNG NODULE; MAJOR CLINICAL STUDY; MEASUREMENT; PATHOLOGICAL ANATOMY; QUANTITATIVE ANALYSIS; STRUCTURE ANALYSIS; TECHNIQUE; THORAX RADIOGRAPHY;

ALGORITHMS; ARTIFACTS; COIN LESION, PULMONARY; DIAGNOSIS, COMPUTER-ASSISTED; FALSE POSITIVE REACTIONS; HUMANS; LUNG; QUALITY CONTROL; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY, THORACIC; REPRODUCIBILITY OF RESULTS; RETROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE;

EID: 1942424925     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2004.824136     Document Type: Article

References (28)

1. American Cancer Society, Cancer Facts and Figures, American Cancer Society, 2002.
2. J. Forrest and P. Friedman, "Radiologic errors in patients with lung cancer," West J Med, vol. 134, pp. 485-490, 1981.
3. W. Lampeter and J. Wandtke, "Computerized search of chest radiographs for nodules," Investigat. Radiol, vol. 21, pp. 384-390, 1986.
4. M. L. Giger, K. Doi, and H. MacMahon, "Image feature analysis and computer-aided diagnosis in digital radiography 3. automated detection of nodules in peripheral lung fields," Med Phys., vol. 15, pp. 158-166, 1988.
5. M. L. Giger, K. Doi, H. MacMahon, C. E. Metz, and F. Yin, "Pulmonary nodules: computer-aided detection of pulmonary nodules in digital chest images," RadioGraphics, vol. 10, pp. 41-52, 1990.
6. S. Lo, M. Freedman, J. Lin, and S. Mun, "Automatic lung nodule detection using profile matching and back-propagation neural network techniques," J. Digital Imag., vol. 6, pp. 48-54, 1993.
7. S. Lo, J. Lin, M. Freedman, M. Chien, and S. Mun, "Artificial convolution neural network techniques and applications for lung nodule detection," IEEE Trans. Med. Imag., vol. 14, pp. 711-718, Dec. 1995.
8. X.-W. Xu, K. Doi, T. Kobayashi, H. MacMahon, and M. L. Giger, "Development of an improved CAD scheme for automated detection of lung nodules in digital chest radiographs," Med Phys, vol. 24, pp. 1395-1403, 1997.
9. N. F. Vittitoe, J. A. Baker, and C. E. Floyd, "Fractal texture analysis in computer-aided diagnosis of solitary pulmonary nodules," Acad Radiol, vol. 4, no. 2, pp. 96-101, 1997.
10. M.G. Penedo, M. J. Carreira, A. Mosquera, and D. Cabello, "Computer-aided diagnosis: a neural network approach to lung nodule detection," IEEE Trans. Med. Imag., vol. 17, pp. 872-880, Dec. 1998.
11. H. Yoshida and B. Keserci, "Bayesian wavelet snake for computer-aided diagnosis of lung nodules," J. Integrated Comput.-Aided Engineering., vol. 7, pp. 253-269, 2000.
12. B. Keserci and H. Yoshida, "Computerized detection of pulmonary nodules in chest radiographs based on morphological features and wavelet snakes," Med. Image Anal., vol. 6, pp. 431-447, 2002.
13. H. Yoshida, "Multiscale edge-guided wavelet snake model for delineation of pulmonary nodules in chest radiographs," J. Electron. Imag., vol. 12, pp. 69-80, 2003.
14. T. Kobayashi, X.-W. Xu, H. MacMahon, C. E. Metz, and K. Doi, "Effect of a computer-aided diagnosis scheme on radiologists' performance in detection of lung nodules on radiographs," Radiology, vol. 199, pp. 843-848, 1996.
15. 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, vol. 213, pp. 723-726, 1999.
16. M. J. Carreira, D. Cabello, M. G. Penedo, and A. Mosquera, "Computer-aided diagnoses: automatic detection of lung nodules," Med. Phys., vol. 25, no. 10, pp. 1998-2006, 1998.
17. T. Matsumoto, H. Yoshimura, K. Doi, M. L. Giger, A. Kano, H. MacMahon, K. Abe, and S. Montner, "Image feature analysis of false positive diagnoses produced by automated detection of lung nodules," Investigat. Radiol., vol. 27, pp. 587-597, 1992.
18. A. Kano, K. Doi, H. MacMahon, D. D. Hassell, and M. L. Giger, "Digital image subtraction of temporally sequential chest images for detection of interval changes," Med. Phys., vol. 21, pp. 453-461, 1994.
19. S. G. Armato, M. L. Giger, and H. MacMahon, "Computerized detection of abnormal asymmetry in digital chest radiographs," Med. Phys., vol. 21, pp. 1761-1768, 1994.
20. Y. Amit, "A nonlinear variational problem for image matching," SIAM J. Scientific Computing, vol. 15, no. 1, pp. 207-224, 1994.
21. M. C. Difazio, H. MacMahon, X.-W. Xu, P. Tsai, J. Shiraishi, S. G. Armato, and K. Doi, "Digital chest radiography: effect of temporal subtraction images on detection accuracy," Radiology, vol. 202, pp. 447-452, 1997.
22. L. G. Brown, "Survey of image registration techniques," ACM Computing Survey, vol. 24, pp. 325-376, 1992.
23. C. R. Maurer and J. M. Fitzpatrick, "A review of medical image registration," in Interactive Image-Guided Neurosurgery, R. J. Maciunas, Ed. Park Ridge, IL: Amer. Assoc. Neurological Surgeons, 1993, pp. 17-44.
24. X. Xu and K. Doi, "Image feature analysis for computer-aided diagnosis: detection of right and left hemidiaphragm edges and deliniation of lung field in chest radiographs," Med. Phys., vol. 23, pp. 1613-1624, 1996.
25. I. Daubechies, Ten Lectures on Wavelets. Philadelphia, PA: SIAM, 1992.
26. W. H. Press, S. A. Teukolsky, W. T. Vettering, and B. P. Flannery, Eds., Numerical Recipes in C: The Art of Scientific Computing, 2nd ed. Cambridge, U.K.: Cambridge Univ. Press, 1992.
27. G. Casella and R. L. Berger, Statistical Inference. Belmont, CA: Duxbury, 1990.
28. C. E. Metz, B. A. Herman, and J.-H. Shen, "Maximum-likelihood estimation of ROC curves from continuously-distributed data," Statist. Med., vol. 17, pp. 1033-1053, 1998.