Low-mAs X-ray CT image reconstruction by adaptive-weighted TV-constrained penalized re-weighted least-squares

Journal of X-Ray Science and Technology

Volumn 22, Issue 4, 2014, Pages 437-457

  Liu, Yan ^a,b   Ma, Jianhua ^c   Zhang, Hao ^a   Wang, Jing ^d   Liang, Zhengrong ^a  

^a STONY BROOK UNIVERSITY   (United States)

^b Stony Brook University   (United States)

^c SOUTHERN MEDICAL UNIVERSITY   (China)

^d UNIVERSITY OF TEXAS AT DALLAS   (United States)

Author keywords

adaptive weighted total variation; low mAs protocol; penalized re weighted least squares; projection onto convex sets; X ray computed tomography

Indexed keywords

FULL WIDTH AT HALF MAXIMUM; IMAGE PROCESSING; IMAGE RECONSTRUCTION; SET THEORY; TOMOGRAPHY;

BACKGROUND NOISE; OBJECTIVE FUNCTIONS; PIECE-WISE CONSTANTS; PROJECTION ONTO CONVEX SETS; RE-WEIGHTED LEAST SQUARES; VARIANCE ESTIMATION; WEIGHTED TOTAL VARIATIONS; X-RAY COMPUTED TOMOGRAPHY;

COMPUTERIZED TOMOGRAPHY;

ALGORITHM; BIOLOGICAL MODEL; COMPUTER ASSISTED TOMOGRAPHY; HEAD; HUMAN; IMAGE PROCESSING; IMAGE QUALITY; PROCEDURES; RADIATION DOSE; RADIOGRAPHY; REGRESSION ANALYSIS;

ALGORITHMS; HEAD; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LEAST-SQUARES ANALYSIS; MODELS, BIOLOGICAL; PHANTOMS, IMAGING; RADIATION DOSAGE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84920870356     PISSN: 08953996     EISSN: None     Source Type: Journal    
DOI: 10.3233/XST-140437     Document Type: Article

References (39)

1. D. Brenner and E. Hall, Computed tomography - An increasing source of radiation exposure, N ENGL J MED 357 (2007), 2277-2284
2. M.K. Kalra, C.Wittram,M.M. Maher, A. Sharma, G.B. Avinash, K. Karau, T.L. Halpern, S. Saini and J.A. Shepard, Can noise reduction filters improve low-radiation-dose chest CT images? Pilot study, Radiology 228(1) (2003), 257-264
3. A. Smith,W. Dillon, R. Gould and M.Wintermark, Radiation dose-reduction strategies for neuroradiology CT protocols, American Journal of Neuroradiology 28(9) (2007), 1628-1632
4. C.H. McCollough, A.N. Primak, N. Braun, J. Kofler, L. Yu and J. Christner, Strategies for reducing radiation dose in CT, Radiologic Clinics of North America 47(1) (2009), 27-40
5. E. Sidky, C. Kao and X. Pan, Accurate image reconstruction from few-views and limited angle data in divergent-beam CT, Journal of X-Ray Science and Technology 14(2) (2006), 119-139
6. E. Sidky and X. Pan, Image reconstruction in circular cone-beam CT by constrained, total-variation minimization, Physics in Medicine and Biology 53 (2008), 4777-4807
7. T. Li, X. Li, J.Wang, J.Wen, H. Lu, J. Hsieh and Z. Liang, Nonlinear sinogram smoothing for low-dose X-ray CT, IEEE Transactions on Nuclear Science 51 (2004), 2505-2513
8. J. Wang, T. Li, H. Lu and Z. Liang, Penalized weighted least-squares approach to sinogram noise reduction and image reconstruction for low-dose X-ray CT, IEEE Transactions on Medical Imaging 25(10) (2006), 1272-1283
9. P.J. La Rivière, J. Bian and P.A. Vargas, Penalized-likelihood sinogram restoration for CT, IEEE Transactions on Medical Imaging 25(8) (2006), 1022-1036
10. J. Bian, J.H. Siewerdsen, X. Han, E.Y. Sidky, J.L. Prince, C.A. Pelizzari and X. Pan, Evaluation of sparse-view reconstruction from flat-panel-detector cone-beam CT, Physics in Medicine and Biology 55 (2010), 6575-6599
11. D. Donoho, Compressed sensing, IEEE Transactions on Information Theory, 52(4), (2006), 1289-1306
12. Y. Liu, J.Ma, Y. Fan and Z. Liang, Adaptive-weighted total variation minimization for sparse data toward low-dose x-ray computed tomography image reconstruction, Physics in Medicine and Biology 57 (2012), 7923-7956
13. G. Chen, J. Tang and S. Leng, Prior image constrained compressed sensing (PICCS), Proc Soc Photon Instrum Eng 6856 (2008), 1-18
14. J. Hsieh, Adaptive streak artifact reduction in CT resulting from excessive X-ray photon noise, Med Phys 25 (1998), 2139-2147
15. J. Xu and BM. Tsui, Electronic noise modeling in statistical iterative reconstruction, IEEE Transactions on Medical Imaging 18(6) (2009), 1228-1239
16. I.A. Elbakri and J.A. Fessler, Statistical image reconstruction for polyenergetic X-ray CT, IEEE Transaction on Medical Imaging 21(2) (2002), 89-99
17. I.A. Elbakri and J.A. Fessler, Efficient and accurate likelihood for iterative image reconstruction in X-ray CT, in: Proceeding of SPIE Medical Imaging 2003, 5032, 2003, pp. 1839-1850
18. J.Wang, T. Li, and L. Xing, Iterative image reconstruction for CBCT using edge-preserving prior, Medical Physics 36(1) (2009), 252-260
19. J. Ma, Z. Liang, Y. Fan, Y. Liu, J. Huang, W. Chen and H. Lu, Variance abalysis of x-ray CT sonograms in the presence of electronic noise background, Medical Physics, 39(7) (2012), 4051-4065
20. H. Yu and G. Wang, A soft-threshold filtering approach for reconstruction from a limited number of projections, Physics in Medicine and Biology 55 (2010), 3905-3916
21. M. Defrise, C. Vanhove and X. Liu, An algorithm for total variation regularization in high-dimensional linear problems, Inverse Problem 6 (2011), 065002
22. L. Ouyang, S. Timothy and J.Wang, Effects of the penalty on the penalized weighted least-squares image reconstruction for low-dose CBCT, Physics in Medicine and Biology 56 (2011), 5535-5552
23. S. Ramni and J. Fessler, Convergent iterative CT reconstruction sparsity-based regularization, in: Fully3D conference proceeding, 2011, pp. 302-305
24. M. Yan and H.L.A. Vese, Expectation maximization and total variation based model for computed tomography reconstruction form undersampled data, in: Proceedings of SPIE Medical Imaging 2011, 7961, 2011
25. B.R. Whiting, Signal statistics of X-ray CT, in: Proceedings of SPIE Medical Imaging 2002, 4682, 2002
26. G.M. Lasio, B.R. Whiting and J.F.Williamson, Statistical reconstruction for X-ray CT using energy-integration detectors, Physics in Medicine and Biology 52 (2007), 2247-2266
27. J. Ma, Q. Feng, Y. Feng, J. Huang and W. Chen, Generalized Gibbs priors based positron emission tomography reconstruction, Computers in Biology and Medicine 40(5) (2010), 565-571
28. J.A. Fessler, Penalized weighted least-squares image reconstruction for Positron emission tomography, IEEE Transactions on Medical Imaging 13(2) (1994), 290-300
29. J. Wang, T. Li, Z. Liang and L. Xing, Dose reduction for kilovotage cone-beam computed tomography in radiation therapy, Physics in Medicine and Biology 53 (2008), 2897-2909
30. E. Candès, J. Romberg and T. Tao, Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information, IEEE Transactions on Information Theory 52(2) (2006), 489-509
31. C. Bouman and K. Sauer, A Generalized Gaussian Image Model for Edge-Preserving MAP Estimation, IEEE Transactions on Medical Imaging 2(2) (1993), 296-310
32. M. Chang. L. Li, Z. Chen, Y. Xiao, L. Zhang and G. Wang, A few-view reweighted sparsity hunting (FRESH) method for CT image reconstruction, Journal of X-Ray Science and Technology 21(2) (2013), 161-176
33. Y. Liu, Z. Liang, J. Ma, H. Lu, K.Wang, H. Zhang andW. Moore, Total Variation-Stokes Strategy for Sparse-View X-ray CT Image Reconstruction, IEEE Transactions on Medical Imaging 33(2) (2014), 749-763
34. J. Ma, J. Huang, H. Zhang, Q. Feng, H. Lu, Z. Liang and W. Chen, Low-dose computed tomography image restoration using previous normal-dose scan, Medical Physics 38(10) (2011), 5713-5731
35. J. Ma, H. Zhang, Y. Gao, J. Huang, Z. Liang, Q. Feng and W. Chen, Iterative image reconstruction for cerebral perfusion CT using a pre-contrast scan induced edge-preserving prior, Physics in Medicine and Biology 57 (2012), 7519-7542
36. X. Jian, Y. Lou, J. Lewis, R. Li, X. Gu, C. Men, W.Y. Song and S.B. Jiang, GPU-based fast low-dose cone beam CT reconstruction via total variation, Journal of X-ray Science and Technology 19(2) (2011), 139-154
37. A.S. Khaled and T.J. Beck, Successive binary algebraic reconstruction technique: An algorithm for reconstruction from limited angle and limited number of projections decomposed into individual components, Journal of X-ray Science and Technology 21(1) (2013), 9-24
38. K.S. Sharma, X. Jin, C. Holzner, S. Narayanan, B. Liu, D. Wang, M. Agah, L. Wang, H. Yu and G. Wang, Experimental studies on few-view reconstruction for high-resolution micro-CT, Journal of X-ray Science and Technology 21(1) (2013), 25-42
39. Y. Lu, Z. Tang, J. Zhao and G. Wang, TV-based image reconstruction of multiple objects in a fixed source-detector geometry, Journal of X-Ray Science and Technology 20(2) (2012), 277-289