Optimization of the internal noise models for channelized Hotelling observer

Proceedings - International Symposium on Biomedical Imaging

Volumn , Issue , 2011, Pages 1788-1791

  Brankov, Jovan G ^a  

^a ILLINOIS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHANNEL MODEL; CHANNELIZED HOTELLING OBSERVERS; CHO MODELS; DETECTION PERFORMANCE; HUMAN OBSERVERS; IMAGING ALGORITHM; IMAGING DEVICE; INTERNAL NOISE; MEDICAL IMAGES; MODEL SELECTION; MODEL TRAINING; NEW MODEL; OVERFITTING; TEST DATA; TRAINING DATA;

ALGORITHMS; COMPUTERIZED TOMOGRAPHY; IMAGE QUALITY; OPTIMIZATION;

MEDICAL IMAGING;

EID: 80055047244     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2011.5872753     Document Type: Conference Paper

References (35)

1. H. H. Barrett and K. Myers, New York: Wiley, 2003, Chap. 14.
2. ICRU Report 54, 1996.
3. K. J. Myers et al, J. Opt. Soc. Am. A, Vol. 4, No. 12, 1987.
4. J. Yao et al, Proc. SPIE, 1786, pp. 161-168, 1992.
5. Y. Zhang, et al, IEEE Trans. Med. Imaging, Vol. 25, No. 10.
6. A. E. Burgess et al., J. Opt. Soc. Am. A, Vol. 5, Issue 4, 1988.
7. Z-L. Lu, A. B. Dosher, J. Opt. Soc. Am. A, Vol. 16 Issue 3, 1999.
8. S. D. Wollenweber, et al., IEEE Nucl. Sci. Symp., Vol. 3, 1998.
9. H. C. Gifford, et al, IEEE Trans. Nucl. Sci., Vol. 46, No. 4, 1999.
10. C. K. Abbey and H. H. Barrett, J. Opt. Soc. Am. A, Vol. 18, No. 3 2001.
11. M. V. Narayanan, et al., IEEE Trans. Nucl. Sci, Vol. 49, No. 5, 2002.
12. J. Oldan, et al, IEEE Trans. Nucl. Sci., Vol. 51, No. 3, pp. 733-741, 2004.
13. T. K. Narayan et al., J. Opt. Soc. Am. A, Vol. 16, No. 3, 1999.
14. Y. Zhang, et al, Med. Phys. Vol. 34, Issue 8, pp. 3313-3321, 2007.
15. Y. Zhang, et al, IEEE Trans. Med. Imaging, Vol. 23, No. 4, 2004
16. K. L. Gilland, et al, IEEE Trans. Nucl. Sci., Vol. 53, No. 3, 2006.
17. J. G. Brankov, et al, IEEE Trans. Med. Imaging, Vol. 28, No. 7, pp. 991-999, 2009.
18. J. G Brankov, et al, IEEE Nucl. Sci. Symp. Vol. 4, 2003.
19. T. Marin, et al, in Proc. IEEE Nucl. Sci. Symp., 2010.
20. H. C. Gifford et al., Proc Med. Imaging, Vol. 7263 2009.
21. V. Vapnik, Statistical Learning Theory. New York: Wiley, 1998.
22. J. G Brankov, et al, Proc. IEEE Nuclear Science Symposium, Vol. 3, pp. 1696-1698, 2006.
23. H. H. Barrett, et al., J. Opt. Soc. Am. A, Vol. 15, Issue 6, pp. 1520-1535, 1998.
24. A. Burgess, J. Opt. Soc. Am. A, Vol. 9, pp. 1424-8, 1985.
25. F. E. Grubbs and C. L. Weaver, J. Amer. Stat. Assoc, Vol. 42, No. 238, pp. 224-241, Jun. 1947.
26. A. Burgess, et al., J. Opt. Soc. Am. A 14, pp. 2420-2442 (1997).
27. C. K. Abbey, Ph.D. dissertation, Univ. Arizona, 1998.
28. B. D. Gallas et al, J. Opt. Soc. Am. A, Vol. 20, No. 9, 2003.
29. S. Kulkarni et al, Phys. in Med. and Biol., Vol. 52, No. 12, 2007.
30. N. Nagraja, J. Opt. Soc. Am. 54, pp. 950-955, 1964.
31. M. Eckstein, et al, Opt. Express 11, pp. 460-475. 2003.
32. M. G Kendall, New York: Hafner Publishing Co, 1955.
33. H. M. Hudson et al, IEEE Trans. Med. Imaging, Vol. 4, pp. 601-609, 1994.
34. http://xray.bsd.uchicago.edu/krl/KRLROC/softwareindex.htm.
35. S. C. Strother et al, Neuroimage, Vol. 15, pp. 747-771, 2002.