Fast approach to evaluate MAP reconstruction for lesion detection and localization

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 5, Issue 26, 2004, Pages 273-282

  Qi, Jinyi ^a   Huesman, Ronald H ^a  

^a LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; FUNCTIONS; ITERATIVE METHODS; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; MEDICAL IMAGING; MONTE CARLO METHODS; POISSON DISTRIBUTION; PROBABILITY DENSITY FUNCTION;

LESION DETECTION; LOCALIZATION RECEIVER OPERATING CHARACTERISTICS (LROC); MONTE CARLO RECONSTRUCTION; RECEIVER OPERATING CHARACTERISTICS (ROC);

IMAGE RECONSTRUCTION;

EID: 12144251076     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.535916     Document Type: Conference Paper

References (34)

1. J. A. Fessier, "Penalized weighted least-squares image reconstruction for PET," IEEE Transactions on Medical Imaging 13, pp. 290-300, June 1994.
2. E. Mumcuoglu, R. Leahy, S. Cherry, and Z. Zhou, "Fast gradient-based methods for Bayesian reconstruction of transmission and emission PET images," IEEE Transactions on Medical Imaging 13, pp. 687-701, December 1994.
3. J. A. Fessier and A. O. Hero, "Penalized maximum-likelihood image reconstruction using space-alternating generalized EM algorithms," IEEE Transactions on Image Processing 4, pp. 1417-1429, Oct 1995.
4. C. Bouman and K. Sauer, "A unified approach to statistical tomography using coordinate descent optimization," IEEE Transactions on Image Processing 5, pp. 480-492, March 1996.
5. D. R. Gilland, B. M. W. Tsui, C. E. Metz, R. J. Jaszczak, and J. R. Perry, "An evaluation of maximum likelihood-expectation maximization reconstruction for SPECT by ROC analysis," The Journal of Nuclear Medicine 33, pp. 451-457, 1992.
6. J. Llacer, "Results of a clinical receiver operating characteristic study comparing filtered backprojection and maximum likelihood estimator images in FDG PET studies," The Journal of Nuclear Medicine 34(7), pp. 1198-1203, 1993.
7. T. H. Farquhar, Improved Lesion Detection in Whole Body PET. PhD thesis, University of California, Los Angeles, 1998.
8. H. H. Barrett, D. W. Wilson, and B. M. W. Tsui, "Noise properties of the EM algorithm: I. theory," Physics in Medicine and Biology 39, pp. 833-846, 1994.
9. W. Wang and G. Gindi, "Noise analysis of MAP-EM algorithms for emission tomography," Physics in Medicine and Biology 42, pp. 2215-2232, 1997.
10. E. J. Soares, C. Byrne, and S. Glick, "Noise characterization of block-iterative reconstruction algorithms: 1. theory," IEEE Transactions on Medical Imaging 19, pp. 261-270, April 2000.
11. J. Qi, "A unified noise analysis for iterative image estimation," Physics in Medicine and Biology 48, pp. 3505-3519, 2003.
12. J. Fessier, "Mean and variance of implicitly defined biased estimators (such as penalized maximum likelihood): Applications to tomography," IEEE Transactions on Image Processing 5, pp. 493-506, March 1996.
13. J. A. Fessier and W. L. Rogers, "Spatial resolution properties of penalized-likelihood image reconstruction: Spatial-invariant tomographs," IEEE Transactions on Image Processing 9, pp. 1346-1358, September 1996.
14. J. Qi and R. M. Leahy, "A theoretical study of the contrast recovery and variance of MAP reconstructions from PET data," IEEE Transactions on Medical Imaging 18, pp. 293-305, April 1999.
15. J. Qi and R. M. Leahy, "Resolution and noise properties of MAP reconstruction for fully 3D PET," IEEE Transactions on Medical Imaging 19, pp. 493-506, May 2000.
16. C. K. Abbey and H. H. Barrett, "Observer signal-to-noise ratios for the ML-EM algorithm," in Proceedings of SPIE, 2712, pp. 47-58, 1996.
17. J. A. Fessier and A. Yendiki, "Channelized Hotelling observer performance for penalized-likelihood image reconstruction," in Proceedings of IEEE Nuclear Science Symposium and Medical Imaging Conference. pp. 1040-1044, 2002.
18. Y. Xing, I. T. Hsiao, and G. Gindi, "Rapid calculation of detectability in Bayesian single photon emission computed tomography," Physics in Medicine and Biology 48, pp. 3755-3773, 2003.
19. J. Yao and H. H. Barrett, "Predicting human performance by a channelized Hotelling model," in SPIE Mathematical Methods in Medical Imaging, 1768, pp. 161-168, 1992.
20. H. H. Barrett, J. Yao, J. Rolland, and K. Myers, "Model observers for assessment of image quality," Proc. Natl. Acad. Sci. 90, pp. 9758-9765, 1993.
21. J. Qi, "Analysis of lesion detectability in Bayesian emission reconstruction with non-stationary object variability," IEEE Transactions on Medical Imaging, 2004, to appear.
22. R. G. Swensson, "Unified measurement of observer performance in detecting and localizing target objects on images," Medical Physics 23, pp. 1709-1725, 1996.
23. H. C. Gifford, P. H. Pretorius, and M. A. King, "Comparison of human- and model-observer LROC studies," in Proceedings of SPIE, 5034, pp. 112-122, 2003.
24. P. Khurd and G. Gindi, "Rapid computation of LROC figures of merit using numerical observers (for SPECT/PET reconstruction)," in Proceedings of IEEE Nuclear Science Symposium and Medical Imaging Conference, pp. M9-3, 2003.
25. M. Yavuz and J. A. Fessier, "Statistical image reconstruction methods for randoms-precorrected PET scans," Medical Image Analysis 2(4), pp. 369-378, 1998.
26. A. Dempster, N. Laird, and D. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," Journal of Royal Statistical Society, Series B 39(1), pp. 1-38, 1977.
27. L. Shepp and Y. Vardi, "Maximum likelihood reconstruction for emission tomography," IEEE Transactions on Medical Imaging 1, pp. 113-122, October 1982.
28. K. Lange and R. Carson, "EM reconstruction algorithms for emission and transmission tomography," Journal of Computer Assisted Tomography 8, pp. 306-316, April 1984.
29. A. Blake and A. Zisserman, Visual Reconstruction, The MIT Press, 1987.
30. S.-J. Lee, A. Rangarajan, and G. Gindi, "Bayesian image reconstruction in SPECT using higher order mechanical models as priors," IEEE Transactions on Medical Imaging 14, pp. 669-680, December 1995.
31. K. J. Myers and H. H. Barrett, "Addition of a channel mechanism to the ideal-observer model," Journal of the Optical Society of America A 4(12), pp. 2447-2457, 1987.
32. J. W. Stayman and J. A. Fessler, "Regularization for uniform spatial resolution properties in penalized-likelihood image reconstruction," IEEE Transactions on Medical Imaging 19, pp. 601-615, June 2000.
33. J. Qi, R. M. Leahy, S. R. Cherry, A. Chatziioannou, and T. H. Farquhar, "High resolution 3D Bayesian image reconstruction using the microPET small animal scanner," Physics in Medicine and Biology 43(4), pp. 1001-1013, 1998.
34. M. King, D. de Vries, and E. Soares, "Comparison of the channelized Hotelling and human observers for lesion detection in hepatic SPECT imaging," in Proceedings of SPIE, 3036, pp. 14-20, 1997.