Learning a channelized observer for image quality assessment

IEEE Transactions on Medical Imaging

Volumn 28, Issue 7, 2009, Pages 991-999

  Brankov, Jovan G ^a   Yang, Yongyi ^a   Wei, Liyang ^a   El Naqa, Issam ^b   Wernick, Miles N ^a  

^a Illinois Institute of Technology   (United States)

^b WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Channelized Hotelling observer (CHO); Image quality; Machine learning; Numerical observer; Support vector machine (SVM); Task based image evaluation

Indexed keywords

CHANNELIZED HOTELLING OBSERVER (CHO); MACHINE LEARNING; NUMERICAL OBSERVER; SUPPORT VECTOR MACHINE (SVM); TASK BASED IMAGE EVALUATION;

EDUCATION; IMAGE RETRIEVAL; QUALITY CONTROL; ROBOT LEARNING; SUPPORT VECTOR MACHINES;

IMAGE QUALITY;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; DIAGNOSTIC IMAGING; HUMAN; IMAGE PROCESSING; METHODOLOGY; MONTE CARLO METHOD; OBSERVATION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIAGNOSTIC IMAGING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MONTE CARLO METHOD; OBSERVATION;

EID: 67649546985     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2008.2008956     Document Type: Article

References (29)

1. H. H. Barrett and K. Myers, Foundations of Image Science, New York: Wiley, 2003, ch. 14.
2. K. J. Myers and H. H. Barrett, "Addition of a channel mechanism, to the ideal-observer model," J. Opt. Soc. Am. A., vol. 4, no. 12, pp. 2447-2457, 1987.
3. J. Yao and H. H. Barrett, "Predicting human performance by a channelized Hotelling model," Proc. SPIE., vol. 1786, pp. 161-168, 1992.
4. S. D. Wollenweber, B. M. W. Tsui, D. S. Lalush, E. C. Frey, K. J. LaCroix, and G. T. Gullberg, "Comparison of radially-symmetric versus oriented channel: Models using channelized hotelling observers for myocardial defect detection in parallel-hole SPECT," in Proc. IEEE Nucl., Sci. Symp., 1998, vol. 3, pp. 2090-2094.
5. H. C. Gifford, R. G. Wells, and M. A. King, "A comparison of human observer LROC and numerical observer ROC for tumor detection in SPECT images," IEEE Trans. Nucl., Sci., vol. 46, no. 4, pp. 1032-1037, Aug. 1999.
6. K. Abbey and H. H. Barrett, "Human- and model-observer performance in ramp-spectrum noise: Effects of regularization and object variability," J. Opt. Soc. Am. A., vol. 18, no. 3, pp. 473-488, 2001.
7. M. V. Narayanan, H. C. Gilford, M. A. King, P. H. Pretorius, T. H. Farncombe, P. Bruyant, and M. N. Wernick, "Optimization of iterative reconstructions of 99 m/Tc cardiac SPECT studies using numerical observers," IEEE Trans. Nucl. Sci., vol. 49, no. 5, pp. 2355-2360, Oct. 2002.
8. J. Oldan, S. Kulkarni, Y. Xing, P. Khurd, and G. R. Gindi, "Channelized hotelling and human observer study of optimal smoothing in SPECT MAP reconstruction," IEEE Trans. Nucl. Sci., vol. 51, no. 3, pp. 733-741, Jun. 2004.
9. P. Bonetto, J. Qi, and R. M. Leahy, "Covariance approximation for fast and accurate computation of channelized hotelling observer statistics," IEEE Trans. Nucl. Sci., vol. 47, no. 4, pp. 1567-1572, Aug. 2000.
10. A. Yendiki and J. A. Fessler, "Analysis of observer performance in known-location tasks for tomographic image reconstruction," IEEE Trans. Med. Imag., vol. 25, no. 1, pp. 28-41, Jan. 2006.
11. T. K. Narayan and G. T. Herman, "Prediction of human observer performance by numerical observer: An experimental study," J. Opt. Soc. Am. A., vol. 16, no. 3, 1999.
12. A. E. Burgess, "Effect of quantization noise on visual signal detection in noisy images," J. Opt. Soc. Am. A., vol. 2, no. 9, pp. 1424-1428, 1985.
13. N. Cristianini and J. Shawe-Taylor, An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods. Cambridge, U.K.: Cambridge Univ. Press, 2000.
14. M. N. Wernick, "Pattern classification by convex analysis," J. Opt. Soc. Am. A., vol. 8, pp. 1874-1880, 1991.
15. J. G. Brankov, I. El-Naqa, Y. Yang, and M. N. Wernick, "Learning a nonlinear channelized observer for image quality assessment," in IEEE Nucl. Sci. Symp. Med. Imag. Conf., 2003, vol. 4, pp. 2526-2529.
16. I. El-Naqa, Y. Yang, R. N. Nishikawa, and M. N. Wernick, "A similarity learning approach to content-based image retrieval: Application to digital mammography," IEEE Trans. Med. Imag., vol. 23, no. 10, pp. 1233-1244, Oct. 2004.
17. V. Vapnik, Statistical Learning Theory. New York: Wiley, 1998.
18. S. R. Gunn, M. Brown, and K. M. Bossley, "Network performance assessment for neurofuzzy data modeling," Lecture Notes in Computer Science, vol. 1280, pp. 313-323, 1997.
19. QUADPROG, MATLAB Version 7.0, Computer Software. Natick, MA: MathWorks, 2005.
20. ROCKIT [Online], Available: http://xray.bsd.uchicago.edu/krl/KRL-ROC/ software-index.htm
21. C. E. Metz, B. A. Herman, and J.-H. Shen, "Maximun-likelihood estimation of ROC curves from continuously-distributed data," Stat. Med., vol. 17, pp. 1033-1053, 1998.
22. P. H. Pretorius, M. A. King, B. M. W. Tsui, K. J. LaCroix, and W. Xia, "A mathematical model of motion, of the heart for use in generating source and attenuation maps for simulating emission imaging," Med. Phys., vol. 26, pp. 2323-2332, 1999.
23. H. M. Hudson and R. S. Larkin, "Accelerated image reconstruction using ordered subsets of projection data," IEEE Trans. Med. Imag., vol. 13, no. 4, pp. 601-609, Dec. 1994.
24. P. I. Good, Resampling Methods. Basel: Birkhauser, 2001.
25. M. G. Kendall Rank Correlation Methods. New York: Hafner, 1955.
26. J. G. Brankov, L. Wei, Y. Yang, and M. N. Wernick, "Generalization evaluation of numerical observers for image quality assessment," in Conf. Rec. 2006 IEEE Nucl., Sci. Symp. Med. Imag. Conf., 2006, vol. 3, pp. 1696-1698.
27. C. K. Abbey and M. P. Eckstein, "Optimal shifted estimates of human-observer templates in two-alternative forced-choice experiments," IEEE Trans. Med. Imag., vol. 21, no. 5, pp. 429-440, May 2002.
28. C. K. Abbey and M. P. Eckstein, "Classification image analysis: Estimation and statistical inference for two-alternative forced-choice experiments," J. Vis., vol. 2, no. 1, pp. 66-78, 2002.
29. T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning. New York: Spriger, 2001.