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A lesion detectability simulation method for digital x-ray imaging
1.H. P. Chan, C. J. Vyborny, H. MacMahon, C. E. Metz, K. Doi, and E. A. Sickles, “Digital mammography. ROC studies of the effects of pixel size and unsharp-mask filtering on the detection of subtle microcalcifications,” Invest. Radiol. 22, 581–589 (1987).
2.H. P. Chan, L. T. Niklason, D. M. Ikeda, K. L. Lam, and D. D. Adler, “Digitization requirements in mammography: Effects on computer-aided detection of microcalcifications,” Med. Phys. 21, 1203–1211 (1994).
3.J. Ikezoe, S. Kido, N. Takeuchi, H. Kondoh, J. Arisawa, and T. Kozuka, “Image quality of digital chest radiography: evaluation of subtle interstitial lung abnormalities (preliminary study),” Comput. Methods Programs Biomed. 43, 107–114 (1994).
4.J. Ikezoe, N. Kohno, S. Kido, N. Takeuchi, T. Johkoh, J. Arisawa, and T. Kozuka, “Interpretation of subtle interstitial chest abnormalities: Conventional radiography versus high-resolution storage-phosphor radiography—A preliminary study,” J. Digit. Imaging 8, 31–36 (1995).
5.A. Jonsson, S. Laurin, G. Karner, K. Herrlin, P. Hochbergs, K. Jonsson, O. Rudling, S. Sandstrom, M. Sloth, G. Svahn, and H. Pettersson, “Spatial resolution requirements in digital radiography of scaphoid fractures. An ROC analysis,” Acta Radiol. 37, 555–560 (1996).
6.H. MacMahon, C. J. Vyborny, C. E. Metz, K. Doi, V. Sabeti, and S. L. Solomon, “Digital radiography of subtle pulmonary abnormalities: A ROC study of the effect of pixel size on observer performance,” Radiology 158, 21–26 (1986).
7.M. D. Murphey, “Digital skeletal radiography: Spatial resolution requirements for detection of subperiosteal resorption,” AJR, Am. J. Roentgenol. 152, 541–546 (1989).
8.M. D. Murphey, J. M. Bramble, L. T. Cook, N. L. Martin, and S. J. Dwyer, “Nondisplaced fractures: spatial resolution requirements for detection with digital skeletal imaging,” Radiology 174, 865–870 (1990).
9.M. K. Shrout, J. Weaver, B. J. Potter, and C. F. Hildebolt, “Spatial resolution and angular alignment tolerance in radiometric analysis of alveolar bone change,” J. Periodontol. 67, 41–45 (1996).
10.C. E. Metz, “ROC methodology in radiologic imaging,” Invest. Radiol. 21, 720–733 (1986).
11.M. L. Giger and K. Doi, “Investigation of basic imaging properties in digital radiography. 3. Effect of pixel size on SNR and threshold contrast,” Med. Phys. 12, 201–208 (1985).
12.J. C. Dainty and R. Shaw, Image Science (Academic, London, 1974).
13.M. J. Yaffe and R. M. Nishikawa, “X-ray imaging concepts: Noise, SNR and DQE,” in Specification, Acceptance Testing and Quality Control of Diagnostic X-ray Imaging Equipment, edited by J. A. Seibert, G. T. Barnes, and R. G. Gould (American Institute of Physics, Woodbury, NY, 1994), pp. 109–144.
14.R. L. Morin, Monte Carlo Simulation in the Radiological Sciences (CRC Press, Boca Raton, FL, 1988), pp. 14–52.
15.G. E. P. Box and M. E. Muller, “A note on the generation of random normal deviates,” Ann. Math. Stat. 29, 610–611 (1958).
16.W. H. Press, S. A. Teulkolsky, W. T. Vetterling, and B. P. Flannery, Numerical Recipes in C: The Art of Scientific Computing, 2nd ed. (Cambridge University Press, New York, 1992).
17.J. M. Boone, “Spectral modeling and compilation of quantum fluence in radiography and mammography,” Proc. SPIE 3336, 592–601 (1998).
18.P. R. Bevington and D. K. Robinson, Data Reduction and Error Analysis for the Physical Sciences, 2nd ed. (McGraw-Hill, New York, 1983).
19.H. E. Johns and J. R. Cunningham, The Physics of Radiology, 4th ed. (Charles C. Thomas, Springfield, IL, 1983).
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