Penalized weighted least-squares approach for low-dose X-ray computed tomography

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 6142 III, Issue , 2006, Pages

  Wang, Jing ^a   Li, Tianfang ^b   Lu, Hongbing ^c   Liang, Zhengrong ^a  

^a STONY BROOK UNIVERSITY   (United States)

^b STANFORD UNIVERSITY   (United States)

^c FOURTH MILITARY MEDICAL UNIVERSITY   (China)

Author keywords

KL transform; Low dose CT; Noise resolution tradeoff; Penalized weighted least squares (PWLS); ROC curve

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; IMAGE PROCESSING; IMAGE RECONSTRUCTION; ITERATIVE METHODS; LEAST SQUARES APPROXIMATIONS; NONLINEAR SYSTEMS; STATISTICAL METHODS; X RAYS;

KL TRANSFORM; LOW-DOSE CT; NOISE-RESOLUTION TRADEOFF; PENALIZED WEIGHTED LEAST-SQUARES (PWLS); ROC CURVE;

COMPUTERIZED TOMOGRAPHY;

EID: 33745357597     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.653903     Document Type: Conference Paper

References (27)

1. Linton O.W., Fred A., and Mettler F.A., "National Conference on Dose Reduction in CT, with an Emphasis on Pediatric Patients", American Journal of Roentgenology Vol. 181, pp. 321-329, 2003.
2. Lange K. and Carson R., "EM Reconstruction Algorithms for Emission and Transmission Tomography", J. Computer Assisted Tomography, Vol. 8, pp. 306-316, 1984.
3. Elbakri I.A. and Fessler J.A., "Efficient and Accurate Likelihood for Iterative Image Reconstruction in X-ray Computed Tomography", Proc. SPIE Med. Imaging, Vol. 5032, pp. 1839-1850, 2003.
4. Lu H., Li X., Hsiao I.T., and Liang Z., "Analytical Noise Treatment for Low-Dose CT Projection Data by Penalized Weighted Least-Square Smoothing in the K-L Domain", Proc. SPIE Med Imaging, Vol. 4682, pp. 146-152, 2002.
5. Li T., Li X., Wang J., Wen J., Lu H., Hsieh J., and Liang Z., "Nonlinear Sinogram Smoothing for Low-Dose X-ray CT", IEEE Trans. Nucl. Science, Vol. 51, pp. 2505-2513, 2004.
6. La Rivière P.J. and Billmire D.M., "Reduction of Noise-Induced Streak Artifacts in X-ray Computed Tomography Through Spline-Based Penalized-Likelihood Sinogram Smoothing", IEEE. Trans. Med. Imaging, Vol. 24, pp. 105-111, 2005.
7. La Riviëre P.J.: Penalized-Likelihood Sinogram Smoothing for Low-Dose CT, Medical Physics, Vol. 32, pp. 1676-1683, 2005.
8. Sauer K. and Liu B., "Non-Stationary Filtering of Transmission Tomograms in High Photon Counting Noise", IEEE Trans. Med. Imaging, Vol. 10, pp. 445-452, 1991.
9. Hsieh J., "Adaptive Streak Artifact Reduction in Computed Tomography Resulting from Excessive X-ray Photon Noise", Medical Physics, Vol. 25, pp. 2139-2147, 1998.
10. Demirkaya K., "Reduction of Noise and Image Artifacts in Computed Tomography by Nonlinear Filtration of the Projection Images", Proc. SPIE Med. Imaging, Vol. 4322, pp. 917-923, 2001.
11. Zhong J., Ning R., and Conover D., "Image Denoising Based on Multiscale Singularity Detection for Cone Beam CT Breast Imaging", IEEE Trans. Med. Imaging, Vol. 23, pp. 696-703, 2004.
12. Kachelrieß M., Watzke O., and Kalender W.A., "Generalized Multi-Dimensional Adaptive Filtering for Conventional and Spiral Single-Slice, Multi-Slice, and Cone-Beam CT", Medical Physics, Vol. 28, pp. 475-490, 2001.
13. Rust G.F., Aurich V., and Reiser M., "Noise/Dose Reduction and Image Improvements in Screening Virtual Colonoscopy with Tube Currents of 20 mAs with Nonlinear Gaussian Filter Chains", Proc. SPIE Med. Imaging, Vol. 4683, pp. 186-197, 2002.
14. Lu H., Li X., Li L., Chen D., Xing Y., Wax M., Hsieh J., and Liang, Z., "Adaptive Noise Reduction Toward Low-Dose Computed Tomography", Proc. SPIE Med. Imaging, Vol.5030, pp. 759-766, 2003.
15. Lu H., Hsiao I., Li X., and Liang, Z., "Noise Properties of Low-Dose CT Projections and Noise Treatment by Scale Transformations", Conf Record IEEE NSS-MIC, in CD-ROM, 2001.
16. Wang J., Lu H., Li T., and Liang, Z., "Sinogram Noise Reduction for Low-Dose CT by Statistics-Based Nonlinear Filters", Proc. SPIE Med. Imaging, Vol. 5747, pp. 2058-2066, 2005.
17. Sauer K. and Bouman C., "A Local Update Strategy for Iterative Reconstruction form Projections", IEEE Trans. Signal Processing, Vol. 41, pp. 534-548, 1993.
18. Edwards, A.L.: An Introduction to Linear Regression and Correlation. San Francisco, CA: W. H. Freeman, pp. 33-46, 1976. (www.mathworld.wolfram.com/ correlationCoefficient.html).
19. Snyder D., Miller M., Thomas L., and Politte D., "Noise and Edge Artifacts in Maximum-Likelihood Reconstruction for Emission Tomography", IEEE Trans. Med. Imaging, Vol. 6, pp. 228-238, 1987.
20. Fessler J.A., "Penalized Weighted Least-Squares Image Reconstruction for Positron Emission Tomography", IEEE Trans. Med. Imaging, Vol. 13, pp. 290-300, 1994.
21. Sukovic P. and Clinthorne N.H., "Penalized Weighted Least-Squares Image Reconstruction for Dual energy X-ray Computed Tomography", IEEE Trans. Med. Imaging., Vol. 19, pp. 1075-1081, 2000.
22. Wernick M.N., Infusino E.J., and Milošević M., "Fast Spatio-Temporal Image Reconstruction for Dynamic PET", IEEE Trans. Med. Imaging, Vol. 18, pp. 185-195, 1999.
23. Press W.H., Teukolsky S.A., Vetterling W.T., and Flannnery B.P. Numerical Recipes in C: The art of scientific computing Second Edition, Cambridge University Press, pp. 50-51, 1992
24. Metz C.E., "ROC Methodology in Radiological Imaging", Invest. Radiology, Vol. 21, pp. 720-733, 1986.
25. Myers K.J. and Barrett H.H., "Addition of a Channel Mechanism to the Ideal-Observer Model", J. Opt. Soc. America, Vol. 4, pp. 447-57, 1987.
26. Wollenweber S.D., Tsui B.M.W., Frey E.C., Lalush D.S., and LaCroix K.J., "Comparison of Human and Channelized Hotelling Observers in Myocardial Defect Detection in SPECT", J. Nucl, Med., Vol. 39, p. 771A, 1998.
27. Wollenweber S.D., Lalush D.S., Tsui B.M.W., and Gullberg G.T. "Evaluation of Myocardial Defect Detection between Parallel-Hole and Fan Beam SPECT Using Hotelling Trace", IEEE Trans. Nucl. Science, Vol. 45, pp. 2205-2210, 1997.