Preprocessing of control portal images for patient setup verification during the treatments in external radiotherapy

Medical Physics

Volumn 26, Issue 12, 1999, Pages 2539-2549

  Hilt, Gisèle ^a,b   Wolf, Didier ^a   Aletti, Pierre ^b  

^a CENTRE DE RECHERCHE EN AUTOMATIQUE DE NANCY   (France)

^b CENTRE ALEXIS VAUTRIN   (France)

Author keywords

Image preprocessing; Image restoration; Image segmentation; Noise reduction; Portal images

Indexed keywords

IMAGE DENOISING; IMAGE QUALITY; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; NOISE ABATEMENT; QUALITY CONTROL; RESTORATION; SIGNAL TO NOISE RATIO;

EXTERNAL RADIOTHERAPY; IMAGE PREPROCESSING; LOW QUALITIES; MAXIMUM A POSTERIORI ALGORITHM; MONITOR UNITS; NOISE REDUCTION METHODS; PORTAL IMAGES; RESTORATION TECHNIQUES;

IMAGE ENHANCEMENT;

ALGORITHM; ARTICLE; FILTER; IMAGE PROCESSING; IMAGE QUALITY; NOISE REDUCTION; PRIORITY JOURNAL; RADIOTHERAPY;

EID: 0033405862     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.598791     Document Type: Article

References (49)

1. J. C. Weiser, D. Gur, and R. C. Gennari, "Evaluation of analog contrast enhancement and digital unsharp masking in low-contrast portal images," Med. Phys. 17, 122-125 (1990).
2. K. W. Leszczynski, S. Shalev, and S. Cosby, "The enhancement of radiotherapy verification images by automated edge detection technique," Med. Phys. 19, 611-621 (1992).
3. I. Crooks and B. G. Fallone, "Contrast enhancement of portal images by selective histogram equalization," Med. Phys. 20, 199-204 (1993).
4. K. W. Leszczynski, S. Shalev, and S. Cosby, "An adaptive technique for digital noise suppression in on-line portal imaging," Phys. Med. Biol. 35, 429-439 (1990).
5. M. C. Kirby, "The consequences of fixed-pattern noise and image movement on electronic portal images," Phys. Med. Biol. 41, 2345-56 (1996).
6. T. Radcliffe, R. Rajapakshe, and S. Shalev, "Pseudocorrelation: a fast, robust, absolute, gray-level image alignment algorithm," Med. Phys. 21, 761-769 (1994).
7. W. D. Powlis, I. Brikman, S. B. Seshadri, and P. Bloch, "Portal radiographs: digital enhancement of contrast," Radiology 169, 839-841 (1988).
8. K. W. Leszczynski and S. Shalev, "Digital contrast enhancement for on-line portal imaging," Med. Biol. Eng. Comput. 27, 507-512 (1989).
9. H. Meertens, M. van Herk, and J. Weeda, "An inverse filter for digital restoration of portal images," Phys. Med. Biol. 33, 687-702 (1988).
10. M. van Herk, A. Bel, K. G. A. Gilhuijs, and R. Vijlbrief, "A comprehensive system for the analysis of portal images," Radiother. Oncol. 29, 221-229 (1993).
11. K. W. Leszczynski and S. Shalev, "A robust algorithm for contrast enhancement by local histogram modification," Image Vis. Comput. 7, 205-209 (1989).
12. K. W. Leszczynski, S. Shalev, and S. Ryder, "A study on the efficacy of digital enhancement of on-line portal images," Med. Phys. 19, 999-1005 (1992).
13. H. Wang and B. G. Fallone, "A robust morphological algorithm for automatic radiation field extraction and correlation of portal images," Med. Phys. 21, 237-244 (1994).
14. R. Rajapakshe and S. Shalev, "Noise analysis in real time portal imaging. I. Quantization noise," Med. Phys. 21, 1263-1268 (1994).
15. K. Luchka, R. Rajapakshe, and S. Shalev, Characterization and correction of geometric distortions in clinical radiotherapy images, XIIth ICCR, 293-294, 1997.
16. K. Luchka, R. Rajapakshe, and S. Shalev, "Correcting geometric distortions in electronic portal images," Med. Biol. Eng. Comput. 35, 1077 (1997).
17. R. Rajapakshe, K. Luchka, and S. Shalev, "A quality test for electronic portal imaging devices," Med. Phys. 23, 1237-1244 (1996).
18. S. Shalev, K. Luchka, and R. Rajapakshe, Techniques for commissioning electronic portal imaging devices, XIIth ICCR, 1997.
19. M. G. Herman, R. A. Abrams, and R. R. Mayer, "Clinical use of on-line portal imaging for daily patient treatment verification," Int. J. Radiat. Oncol., Biol., Phys. 28, 1017-1023 (1994).
20. L. Beaurepaire, K. Chehdi, and B. Vozel, "Identification of the nature of noise and estimation of its statistical parameters by analysis of local histograms," Proc. ICASSP-97 4, 2805-2809 (1997).
21. I. A. Cunningham and B. K. Reid, "Signal and noise in modulation transfer function determinations using the slit, wire, and edge techniques," Med. Phys. 19, 1037-1044 (1992).
22. P. Munro and J. A. Rawlinson, "Therapy imaging: A signal-to-noise analysis of a fluoroscopic imaging system for radiotherapy localization," Med. Phys. 17, 763-772 (1990).
23. R. T. Droege and R. L. Morin, "A practical method to measure the MTF of CT scanners," Med. Phys. 9, 758-760 (1982).
24. R. T. Droege, "A practical method to routinely monitor resolution in digital images," Med. Phys. 10, 337-343 (1983).
25. M. C. Kirby, P. C. Williams, "Measurement possibilities using an electronic portal imaging device," Radiother. Oncol. 29, 237-243 (1993).
26. M. C. Kirby, P. C. Williams, "The use of an electronic portal imaging device for exit dosimetry and quality control measurements," Int. J. Radiat. Oncol., Biol., Phys. 31, 593-603 (1995).
27. D. Marr and E. Hildreth, "Theory of edge detection," Proc. R. Soc. London Ser. B 207, 187-214 (1980).
28. J. Chen and S. Castan, Un nouvel algorithm de detection de contours, 5th congress AFCET-RFIA, Grenoble, 201-213, 1985.
29. N. C. Gallagher and G. L. Wise, "A theoretical analysis of the properties of median filters," IEEE Trans. Acoust., Speech, Signal Process. 29, 1136-1141 (1981).
30. E. H. Lloyd, "Least square estimation of location and scale parameters using order statistics," Biometrika 39, 88-95 (1952).
31. H. A. David, Order Statistics (Wiley Interscience, New York, 1981).
32. V. Kim and L. Yaroslavskii, "Rank algorithms for picture processing," Comput. Vis. Graph. Image Process. 35, 234-258 (1986).
33. J. P. Cocquerez and S. Philipp, Analyse d'images: Filtrage et Segmentation (Edition, Masson, 1995).
34. C. A. Pomalaza-Raez and C. D. McGillem, "An adaptive non linear edge preserving filter," IEEE Trans. Acoust., Speech, Signal Process. 32, 571-576 (1984).
35. M. Nagao and M. Matsuyama, "Edge preserving smoothing," Comput. Vis. Graph. Image Process. 9, 394-407 (1979).
36. P. Zamperoni, "Some adaptive rank order filters for image enhancement," Pattern Recogn. Lett. 11, 81-86 (1990).
37. F. Torkamani-Azar and K. E. Tait, "Image recovery using the anisotropic diffusion equation," IEEE Trans. Image Process. 5, 1573-1578 (1996).
38. A. Restrepo and A. C. Bovik, "Adaptive trimmed mean filters for image restoration," IEEE Trans. Acoust., Speech, Signal Process. 36, 1326-1337 (1988).
39. I. Pitas and A. N. Venetsanopoulos, Nonlinear Digital Filters. Principles and Applications (Kluwer Academic, London, 1990).
40. N. H. C. Young and A. H. S. Lai, "Performance evaluation of a feature-preserving filtering algorithm for removing additive random noise in digital images," Opt. Eng. (Bellingham) 35, 1871-1885 (1996).
41. E. Abreu, M. Lightstone, S. K. Mitra, and K. Arakawa, "A new efficient approach for the removal of impulse noise from highly corrupted images," IEEE Trans. Image Process. 5, 1057-1025 (1996).
42. F. Coulon, Théorie et Traitement des Signaux (Dunod, Paris, 1984).
43. R. Deriche, "Using Canny's criteria to derive a recursively implemented optimal edge detector," Int. J. Comput. Vis. , 167-187 (1987).
44. P. A. Jansson, "Methods for determining the response function of high resolution infrared spectrometer," J. Opt. Soc. Am. 60, 184-191 (1970).
45. R. Gold, "An iterative unfolding method for matrices," Mathematics and Computer Research and Development Report ANL-6984 (Argonne National Laboratory, Argonne, 11, 1964).
46. E. S. Meinel, "Origins of linear and non-linear recursive restoration algorithms," J. Opt. Soc. Am. 3, 787-799 (1986).
47. W. H. Richarson, "Bayesian-based iterative method of image restoration," J. Opt. Soc. Am. 62, 55-59 (1972).
48. L. B. Lucy, "An iterative technique for the rectification of observed distributions," Astron. J. 79, 745-765 (1974).
49. E. Kreyszing, Advanced Engineering Mathematics, 7th ed. (Wiley, New York, 1993).