Suitability of new anode materials in mammography: Dose and subject contrast considerations using Monte Carlo simulation

Medical Physics

Volumn 33, Issue 11, 2006, Pages 4221-4235

  Delis, H ^a   Spyrou, G ^a,b   Costaridou, L ^a   Tzanakos, G ^c   Panayiotakis, G ^a  

^a UNIVERSITY OF PATRAS   (Greece)

^b BIOMEDICAL RESEARCH FOUNDATION   (Greece)

^c UNIVERSITY OF ATHENS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

ANODES; MAMMOGRAPHY;

DISCRIMINATION TASKS; MATHEMATICAL PHANTOMS; MICROCALCIFICATIONS; NEW ANODE MATERIAL; NON-PALPABLE LESIONS; OPTIMIZATION TASK; SENSITIVITY AND SPECIFICITY; THEORETICAL SPECTRA;

MONTE CARLO METHODS;

ARTICLE; FILTER DESIGN; IMAGE QUALITY; MAMMOGRAPHY; MONTE CARLO METHOD; PRIORITY JOURNAL; RADIATION DOSE; SPECTROSCOPY;

EID: 33750556634     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.2362874     Document Type: Article

References (42)

1. L. Costaridou, S. Skiadopoulos, P. Sakellaropoulos, E. Likaki, C. P. Kalogeropoulou, and G. Panayiotakis, " Evaluating the effect of a wavelet enhancement method in characterization of simulated lesions embedded in dense breast parenchyma., " Eur. Radiol. 15, 1615-1622 (2005).
2. X. Wu, G. T. Barnes, and D. M. Tucker, " Spectral dependence of glandular tissue dose in screen-film mammography., " Radiology 179, 143-148 (1991).
3. L. Desponds, C. Depeursinge, M. Grecescu, C. Hessler, A. Samiri, and J. F. Valley, " Influence of anode and filter material on image quality and glandular dose for screen-film mammography., " Phys. Med. Biol. 36, 1165-1182 (1991).
4. X. Wu, E. L. Gingold, G. T. Barnes, and D. M. Tucker, " Normalized average glandular dose in molybdenum target-rhodium filter and rhodium target-rhodium filter mammography., " Radiology 193, 83-89 (1994).
5. R. Fahrig and M. J. Yaffe, " A model for optimization of spectral shape in digital mammography., " Med. Phys. 21, 1463-1471 (1994).
6. R. Fahrig and M. J. Yaffe, " Optimization of spectral shape in digital mammography: Dependence on anode material, breast thickness, and lesion type., " Med. Phys. 21, 1473-1481 (1994).
7. D. R. Dance, A. K. Thilander, M. Sandborg, C. L. Skinner, I. A. Castellano, and G. A. Carlsson, " Influence of anode/filter material and tube potential on contrast, signal-to-noise ratio and average absorbed dose in mammography: A Monte Carlo study., " Br. J. Radiol. 73, 1056-1067 (2000).
8. A. C. Thilander-Klang, P. H. Ackerholm, I. C. Berlin, N. G. Bjurstam, S. L. Mattsson, L. G. Mansson, C. Von Scheele, and S. J. Thunberg, " Influence of anode-filter combinations on image quality and radiation dose in 965 women undergoing mammography., " Radiology 203, 348-354, (1997).
9. W. Huda, A. M. Sajewicz, K. M. Ogden, and D. R. Dance, " Experimental investigation of the dose and image quality characteristics of a digital mammography imaging system., " Med. Phys. 30, 442-448 (2003).
10. G. Spyrou, G. Tzanakos, A. Bakas, and G. Panayiotakis, " Monte Carlo generated mammograms: Development and validation., " Phys. Med. Biol. 43, 3341-3357 (1998).
11. G. Spyrou, G. Panayiotakis, and G. Tzanakos, " MASTOS: Mammography Simulation Tool for design Optimization Studies., " Med. Inf. (Lond) 25, 275-293 (2000).
12. G. Spyrou, G. Tzanakos, G. Nikiforides, and G. Panayiotakis, " A Monte Carlo simulation model of mammographic imaging with x-ray sources of finite dimensions., " Phys. Med. Biol. 47, 917-933 (2002).
13. H. Delis, G. Spyrou, G. Tzanakos, and G. Panayiotakis, " The influence of mammographic x-ray spectra on absorbed energy distribution in breast: Monte Carlo simulation studies., " Radiat. Meas. 39, 149-155 (2005).
14. H. Delis, G. Spyrou, G. Panayiotakis, and G. Tzanakos, " DOSIS: A Monte Carlo simulation program for dose related studies in mammography., " Eur. J. Radiol. 54, 371-376 (2005).
15. P. Sakellaropoulos, L. Costaridou, and G. Panayiotakis, " An image visualization tool in mammography., " Med. Inf. (Lond) 24, 53-73 (1999).
16. W. H. McMaster, N. K. Del Grande, J. H. Mallett, and J. H. Hubbell, Lawrence Livermore National Laboratory Report UCRL-50174, 1969.
17. E. E. Krestel, Imaging Systems For Medical Diagnostics (Siemens, Berlin, 1990).
18. G. H. McCall, " Calculation of x-ray bremsstrahlung and characteristic line emission produced by a Maxwellian electron distribution., " J. Phys. D 15, 823-831 (1982).
19. H. A. Kramers, " On the theory of x-ray absorption and of the continuous x-ray spectrum., " Philos. Mag. 46, 836-871 (1923).
20. M. Green and V. E. Cosslett, " The efficiency of production of characteristic X-radiation in thick targets of a pure element., " Proc. Phys. Soc. London 78, 1206-1214 (1961).
21. R. Ito, P. Andreo, and T. Tabata, " Reflection Ratios of Electrons and Photons from Solids., " Bulletin of University of Osaka Prefecture, Series A 41, 69-76 (1992).
22. W. Bambynek, B. Crasemann, R. W. Fink, H. U. Freud, H. Mark, C. D. Swift, R. E. Price, and P. Venugopala Rao, " X-ray fluorescence yields, Auger, and Coster-Kronig transition probabilities., " Rev. Mod. Phys. 44, 716-813 (1972).
23. M. H. Unsworth and J. R. Greening, " Theoretical continuous and L-characteristic x-ray spectra for tungsten target tubes operated at 10 to 50 kV., " Phys. Med. Biol. 15, 621-630 (1970).
24. M. Sabel and H. Aichinger, " Recent developments in breast imaging., " Phys. Med. Biol. 41, 315-368 (1996).
25. J. M. Boone, T. R. Fewell, and R. J. Jennings, " Molybdenum, rhodium, and tungsten anode spectral models using interpolating polynomials with application to mammography., " Med. Phys. 24, 1863-1874 (1997).
26. J. M. Boone and J. A. Seibert, " An accurate method for computer-generating tungsten anode x-ray spectra from 30 to 140 kV., " Med. Phys. 24, 1661-1670 (1997).
27. S. Siegel and N. J. Castellan, Nonparametric Statistics for the Behavioral Sciences, 2nd ed. (McGraw-Hill, New York, 1988).
28. H. E. Johns and J. R. Cunningham, The Physics of Radiology, 4th ed. (Thomas, Springfield, IL, 1983).
29. P. Liaparinos, I. Kandarakis, D. Cavouras, H. Delis, and G. Panayiotakis, " Investigating the modulation transfer function of granular phosphor screens using Monte Carlo Simulation., " Biomedizinische Technik (Biomedical engineering), Proceedings of the 14th International Conference of Medical Physics, 2005, Vol. 50, pp. 1100-1101.
30. R. Fahrig, J. A. Rowlands, and M. J. Yaffe, " X-ray imaging with amorphous selenium: Optimal spectra for digital mammography., " Med. Phys. 23, 557-567 (1996).
31. T. Sakellaris, G. Spyrou, G. Tzanakos, and G. Panayiotakis, " Monte Carlo simulation of primary electron production inside an a-selenium detector for x-ray mammography: Physics., " Phys. Med. Biol. 50, 3717-3738 (2005).
32. C. J. Lai, C. C. Shaw, G. J. Whitman, D. A. Johnston, W. T. Yang, V. Selinko, E. Arribas, B. Dogan, and S. C. Kappadath, " Visibility of simulated microcalcifications-A hardcopy-based comparison of three mammographic systems., " Med. Phys. 32, 182-194 (2005).
33. E. Samei and M. J. Flynn, " An experimental comparison of detector performance for direct and indirect digital radiography systems., " Med. Phys. 30, 608-622 (2003).
34. J. M. Boone, J. A. Seibert, J. M. Sabol, and M. Tecotzky, " A Monte Carlo study of x-ray fluorescence in x-ray detectors., " Med. Phys. 26, 905-916 (1999).
35. P. F. Liaparinos, I. S. Kandarakis, D. A. Cavouras, H. B. Delis, and G. S. Panayiotakis, " Modeling granular phosphor screens by Monte Carlo methods., " Med. Phys. (in press).
36. D. R. Dance, " Monte Carlo calculation of conversion factors for the estimation of mean glandular breast dose., " Phys. Med. Biol. 35, 1211-1219 (1990).
37. J. Zoetelief and J. T. M. Jansen, " Calculation of air kerma to average glandular tissue dose conversion factors for mammography., " Radiat. Prot. Dosim. 57, 397-400 (1995).
38. D. R. Dance, C. L. Skinner, K. C. Young, J. R. Beckett, and C. J. Kotre, " Additional factors for the estimation of mean glandular breast dose using the UK mammography dosimetry protocol., " Phys. Med. Biol. 45, 3225-3240 (2000).
39. M. J. Tapiovaara and R. F. Wagner, " SNR and noise measurements for medical imaging: I. A practical approach based on statistical decision theory., " Phys. Med. Biol. 38, 71-92 (1993).
40. M. J. Berger, J. H. Hubbell, S. M. Seltzer, J. Chang, J. S. Coursey, R. Sukumar, and D. S. Zucker, " XCOM: Photon Cross Sections Database (version 1.3)., " National Institute of Standards and Technology (NIST), Gaithersburg, MD, 2005.
41. T. K. Nishino, X. Wu, and R. F. Johnson, Jr., " Thickness of molybdenum filter and squared contrast-to-noise ratio per dose for digital mammography., " Am. J. Roentgenol. 185, 960-963 (2005).
42. P. Sakellaropoulos, L. Costaridou, and G. Panayiotakis, " A wavelet-based spatially adaptive method for mammographic contrast enhancement., " Phys. Med. Biol. 48, 787-803 (2003).