Noise estimation for single-slice sinogram of low-dose X-ray computed tomography using homogenous patch

Mathematical Problems in Engineering

Volumn 2012, Issue , 2012, Pages

  Liao, Zhiwu ^a   Hu, Shaoxiang ^b   Li, Ming ^c   Chen, Wufan ^b  

^a SICHUAN NORMAL UNIVERSITY   (China)

^b UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^c EAST CHINA NORMAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CENTER POINTS; LARGE NEIGHBORHOOD; LOW DOSE; LOW-DOSE CT; NOISE ESTIMATION; NOISE LEVELS; NUMBER OF SAMPLES; SIMILARITY MEASURE; SINOGRAMS; UNBIASED ESTIMATION; VARIANCE ANALYSIS; X-RAY COMPUTED TOMOGRAPHY;

COMPUTERIZED TOMOGRAPHY; ESTIMATION; TOMOGRAPHY;

PIXELS;

EID: 81555219637     PISSN: 1024123X     EISSN: 15635147     Source Type: Journal    
DOI: 10.1155/2012/696212     Document Type: Article

References (42)

1. Linton O. W., Fred A., Mettler F. A., National conference on dose reduction in CT, with an emphasis on pediatric patients American Journal of Roentgenology 2003 181 2 321 329 (Pubitemid 36909472)
2. Zhang Y., Zhang J., Lu H., Statistical sinogram smoothing for low-dose CT with segmentation-based adaptive filtering IEEE Transactions on Nuclear Science 2010 57 5, part 1 2587 2598
3. Lu H., Li X., Hsiao I. T., Liang Z., Analytical noise treatment for low-dose CT projection data by penalized weighted least-square smoothing in the K-L domain 4682 Proceedings of the SPIE Medical Imaging 2002 San Diego, Calif, USA 146 152 (Pubitemid 35237107)
4. Demirkaya O., Reduction of noise and image artifacts in computed tomography by nonlinear filtration of the projection images 4322 Proceedings of the SPIE Medical Imaging 2001 San Diego, Calif, USA 2 917 923 (Pubitemid 32833985)
5. Wang J., Lu H., Liang Z., Eremina D., Zhang G., Wang S., Chen J., Manzione J., An experimental study on the noise properties of x-ray CT sinogram data in Radon space Physics in Medicine and Biology 2008 53 12 3327 3341 (Pubitemid 351892405)
6. Lu H., Hsiao I.-T., Li X., Liang Z., Noise properties of low-dose CT projections and noise treatment by scale transformations 3 Proceedings of the IEEE Nuclear Science Symposium Conference Record 2001 1662 1666
7. Hsieh J., Adaptive streak artifact reduction in computed tomography resulting from excessive x-ray photon noise Medical Physics 1998 25 11 2139 2147 (Pubitemid 28530103)
8. Sauer K., Liu B., Non-stationary filtering of transmission tomograms in high photon counting noise IEEE Transactions on Medical Imaging 1991 10 3 445 452 (Pubitemid 21727991)
9. Whiting B. R., Signal statistics of x-ray computed tomography Proceedings of the SPIE Physics of Medical Imaging 2002 4682 53 60 (Pubitemid 35237098)
10. Whiting B. R., Massoumzadeh P., Earl O. A., Properties of preprocessed sinogram data in x-ray computed tomography Medical Physics 2006 33 9 3290 3303 (Pubitemid 44327431)
11. Gravel P., Beaudoin G., De Guise J. A., A method for modeling noise in medical images IEEE Transactions on Medical Imaging 2004 23 10 1221 1232
12. Elbakri I. A., Fessier J. A., Efficient and accurate likelihood for iterative image reconstruction in X-ray computed tomography Proceedings of SPIE Image Processing 2003 5032 1839 1850
13. Xu J., Tsui B. M. W., Electronic noise modeling in statistical iterative reconstruction IEEE Transactions on Image Processing 2009 18 6 1228 1238
14. Mayo J. R., Whittall K. P., Leung A. N., Hartman T. E., Park C. S., Primack S. L., Chambers G. K., Limkeman M. K., Toth T. L., Fox S. H., Simulated dose reduction in conventional chest CT: validation study Radiology 1997 202 2 453 457 (Pubitemid 27051742)
15. Gies M., Kalender W. A., Wolf H., Suess C., Dose reduction in CT by anatomically adapted tube current modulation. I. Simulation studies Medical Physics 1999 26 11 2235 2247
16. Olsen S. I., Estimation of noise in images: an evaluation Graphical Models and Image Processing 1993 55 4 319 323 (Pubitemid 23690096)
17. Immerkr J., Fast noise variance estimation Computer Vision and Image Understanding 1996 64 2 300 302
18. Donoho D., De-noising by soft-thresholding IEEE Transactions on Information Theory 1995 41 3 613 627
19. Donoho D. L., Johnstone I. M., Ideal spatial adaptation by wavelet shrinkage Biometrika 1994 81 3 425 455
20. Russo F., A method for estimation and filtering of Gaussian noise in images IEEE Transactions on Instrumentation and Measurement 2003 52 4 1148 1154
21. Foi A., Trimeche M., Katkovnik V., Egiazarian K., Practical Poissonian-Gaussian noise modeling and fitting for single-image raw-data IEEE Transactions on Image Processing 2008 17 10 1737 1754
22. Liu C., Freeman W. T., Szeliski R., Kang S. B., Noise estimation from a single image 1 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '06) 2006 901 908 (Pubitemid 44931419)
23. De Stefano A., White P., Collis W., Training methods for image noise level estimation on wavelet components EURASIP Journal on Applied Signal Processing 2004 16 2400 2407 (Pubitemid 40297520)
24. Tai S. C., Yang S. M., A fast method For image noise estimation using laplacian operator and adaptive edge detection 1214 Proceedings of the 3rd International Symposium on Communications, Control and Signal Processing (ISCCSP '08) March 2008 St Julians, Malta 1077 1081
25. Antoni B., Bartomeu C., Michel M. J., Nonlocal image and movie denoising International Journal of Computer Vision 2008 76 2 123 139. Special Section: Selection of Papers for CVPR 2005, Guest Editors: Cordelia Schmid, Stefano Soatto and Carlo Tomasi
26. Buades A., Coll B., Morel J. M., A review of image denoising algorithms, with a new one Multiscale Modeling Simulation 2005 4 2 490 530 (Pubitemid 43890582)
27. Liao Z., Hu S., Chen W., Determining neighborhoods of image pixels automatically for adaptive image denoising using nonlinear time series analysis Mathematical Problems in Engineering 2010 2010 14
28. Vladimir K., Alessandro F., Karen E., Jaakko A., From local kernel to nonlocal multiple-model image denoising International Journal of Computer Vision 2010 86 1 1 32
29. Li Y., Chen Y., Chen W., Luo L., Yin X., Improving low-dose X-ray CT images by weighted intensity averaging over large-scale neighborhoods Proceedings of the International Conference on Medical Image Analysis and Clinical Application (MIACA '10) 2010 1 4
30. Kelm Z. S., Blezek D., Bartholmai B., Erickson B. J., Optimizing non-local means for denoising low dose CT Proceedings of the IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI '09) 2009 662 665
31. Yi-ming B. I., Jian-hua M. A., Nan L. I. U., Anscombe transform and BM3D filtering based projection restoration for low-dose CT reconstruction Computer Engineering and Applications 2010 46 13 216 220
32. Ma J., Huang J., Chen Y., Generalized Gibbs Prior based high quality low-dose X-CT reconstruction Computer Engineering and Applications 2008 44 16 4 6
33. Chen S. Y., Tong Hanyang, Cattani Carlo, Markov models for image labeling Mathematical Problems in Engineering 2012 2012 18
34. Chen S. Y., Li Y. F., Determination of stripe edge blurring for depth sensing IEEE Sensors Journal 2011 11 2 389 390
35. Chen S. Y., Guan Q., Parametric shape representation by a deformable NURBS model for cardiac functional measurements IEEE Transactions on Biomedical Engineering 2011 58 3 480 487
36. Chen S. Y., Zhang J., Zhang H., Guan Q., Du Y., Yao C., Zhang J., Myocardial motion analysis for determination of tei-index of human heart Sensors 2010 10 12 11428 11439
37. Bakhoum E. G., Toma C., Specific mathematical aspects of dynamics generated by coherence functions Mathematical Problems in Engineering 2011 2011 10
38. Bakhoum E. G., Toma C., Dynamical aspects of macroscopic and quantum transitions due to coherence function and time series events Mathematical Problems in Engineering 2010 2010 13
39. Vandemeulebroucke J., Rit S., Kybic J., Clarysse P., Sarrut D., Spatiotemporal motion estimation for respiratory-correlated imaging of the lungs Medical Physics 2011 38 1 166 178
40. Ong J. L., Seghouane A. K., From point to local neighborhood: polyp detection in CT colonography using geodesic ring neighborhoods IEEE Transactions on Image Processing 2011 20 4 1000 1010
41. Ross J. C., Rail S. J. E., Diaz K. G., Automatic lung lobe segmentation using particles, thin plate splines, and maximum a posteriori estimation Medical Image Computing and Computer-Assisted Intervention 2010 6363, part 3 163 171
42. Li T., Li X., Wang J., Wen J., Lu H., Hsieh J., Liang Z., Nonlinear sinogram smoothing for low-dose X-ray CT IEEE Transactions on Nuclear Science 2004 51 5 2505 2513