Efficient low-dose CT artifact mitigation using an artifact-matched prior scan

Medical Physics

Volumn 39, Issue 8, 2012, Pages 4748-4760

  Xu, Wei ^a   Mueller, Klaus ^a  

^a Stony Brook University   (United States)

Author keywords

artifact mitigation; artifact matched prior; low dose CT; nonlocal means; reference based

Indexed keywords

ALIGNMENT; ESTIMATION; IMAGE DENOISING; IMAGE RECONSTRUCTION; PIXELS; RESTORATION;

ARTIFACT MITIGATION; ARTIFACT-MATCHED PRIOR; LOW-DOSE CT; NON-LOCAL MEANS; REFERENCE-BASED;

COMPUTERIZED TOMOGRAPHY;

EID: 84864701347     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.4736528     Document Type: Article

References (31)

1. D. Brenner and E. Hall, Computed tomography: An increasing source of radiation exposure., N. Engl. J. Med. 357, 2277-2284 (2007). 10.1056/NEJMra072149 (Pubitemid 350190758)
2. F. Mettler, B. Thomadsen, M. Bhargavan, D. Gilley, J. Gray, J. Lipoti, J. McCrohan, T. Yoshizumi, and M. Mahesh, Medical radiation exposure in the U.S. in 2006: Preliminary results., Health Phys. 95 (5), 502-507 (2008). 10.1097/01.HP.0000326333.42287.a2
3. F. Natterer, The Mathematics of Computerized Tomography (John Wiley, New York, 1986).
4. L. Rudin, S. Osher, and E. Fatemi, Nonlinear total variation based noise removal algorithms., Physica D 60, 259-268 (1992). 10.1016/0167-2789(92)90242-F
5. E. Candes, J. Romberg, and T. Tao, Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency Information., IEEE Trans. Inf. Theory 52, 489-509 (2006). 10.1109/TIT.2005.862083 (Pubitemid 43174093)
6. E. Sidky and X. Pan, Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization., Phys. Med. Biol. 53 (17), 4777-4807 (2008). 10.1088/0031-9155/53/17/021
7. H. Yu and G. Wang, A soft-threshold filtering approach for reconstruction from a limited number of projections., Phys. Med. Biol. 55 (13), 3905-3916 (2010). 10.1088/0031-9155/55/13/022
8. R. Gordon, R. Bender, and G. Herman, Algebraic reconstruction techniques (ART) for three-dimensional electron microscopy and x-ray photography., J. Theor. Biol. 29, 471-481 (1970). 10.1016/0022-5193(70)90109-8
9. A. Andersen and A. Kak, Simultaneous algebraic reconstruction technique (SART): A superior implementation of the ART algorithm., Ultrason. Imaging 6, 81-94 (1984). 10.1016/0161-7346(84)90008-7 (Pubitemid 14139189)
10. P. Gilbert, Iterative methods for the 3D reconstruction of an object from projections., J. Theor. Biol. 76, 105-117 (1972). 10.1016/0022-5193(72)90180-4
11. C. Liu, J. Yuen, and A. Torralba, SIFT flow: Dense correspondence across scenes and its applications., IEEE Trans. Pattern Anal. Mach. Intell. 33 (5), 978-994 (2011). 10.1109/TPAMI.2010.147
12. Z. Kelm, D. Blezek, B. Bartholmai, and B. Erickson, Optimizing non-local means for denoising low-dose CT., Proceedings of the IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 09), pp. 662-665 (2009).
13. H. Yu, S. Zhao, E. Hoffman, and G. Wang, Ultra-low dose lung CT perfusion regularized by a previous scan., Acad. Radiol. 16, 363-373 (2009). 10.1016/j.acra.2008.09.003
14. J. Ma, J. Huang, Q. Feng, H. Zhang, H. Lu, Z. Liang, and W. Chen, Low-dose computed tomography image restoration using previous normal-dose scan., Med. Phys. 38 (10), 5713-5731 (2011). 10.1118/1.3638125
15. Z. Lu, Q. Feng, P. Shi, and W. Chen, A fast 3-D medical image registration algorithm based on equivalent meridian plane., in Proceedings of the IEEE International Conference on Image Processing (2007), pp. 357-360.
16. W. Xu and K. Mueller, A reference image database approach for NLM filter-regularized CT reconstruction., in Proceedings of the Fully 3D Image Reconstruction in Radiology and Nuclear Medicine, Potsdam, Germany, (July, 2011), pp. 116-119.
17. A. Buades, B. Coll, and J. Morel, A review of image denoising algorithms with a new one., Multiscale Model. Simul. 4 (2), 490-530 (2005). 10.1137/040616024 (Pubitemid 43890582)
18. W. Xu and K. Mueller, Evaluating popular non-linear image processing filters for their use in regularized iterative CT., in Proceedings of the IEEE Medical Imaging Conference, Knoxville, TN, October 2010.
19. J. Bian, J. Siewerdsen, X. Han, E. Sidky, J. Prince, C. Pelizzari, and X. Pan, Evaluation of sparse-view reconstruction from flat-panel-detector cone-beam CT., Phys. Med. Biol. 55, 6575-6599 (2010). 10.1088/0031-9155/55/22/ 001
20. D. Lowe, Object recognition from local scale-invariant features., in Proceedings of the International Conference on Computer Vision (1999), pp. 1150-1157. (Pubitemid 32079997)
21. http://people.csail.mit.edu/celiu/SIFTflow.
22. Z. Zheng, W. Xu, and K. Mueller, Performance tuning for CUDA-accelerated neighborhood denoising filters., in Proceedings of the 3rd Workshop on High Performance Image Reconstruction (held with Fully 3D 2011), Potsdam, Germany, (July, 2011), pp. 52-55.
23. F. Xu and K. Mueller, Real-time 3D computed tomographic reconstruction using commodity graphics hardware., Phys. Med. Biol. 52, 3405-3419 (2007). 10.1088/0031-9155/52/12/006 (Pubitemid 46830633)
24. W. Xu and K. Mueller, Learning effective parameter settings for iterative CT reconstruction algorithms., in Proceedings of the Fully 3D Image Reconstruction in Radiology and Nuclear Medicine, Beijing, China, September 2009.
25. Z. Wang, A. Bovik, H. Sheikh, and E. Simoncelli, Image quality assessment: From error visibility to structural similarity., IEEE Trans. Image Process. 13 (4), 600-612 (2004). 10.1109/TIP.2003.819861
26. Z. Wang and A. Bovic, A universal image quality index., IEEE Signal Process. Lett. 9 (3), 81-84 (2002). 10.1109/97.995823 (Pubitemid 34554870)
27. W. Lin and C.-C. Jay Kuo, Perceptual visual quality metrics: A survey., J. Visual Commun. Image Represent 22 (4), 297-312 (2011). 10.1016/j.jvcir.2011. 01.005
28. J. Thirion, Image matching as a diffusion process: An analogy with Maxwells demons., Med. Image Anal. 2, 243-260 (1998). 10.1016/S1361-8415(98) 80022-4 (Pubitemid 128499389)
29. http://www.imagegently.org.
30. http://www.imagewisely.org.
31. http://www.giveascan.org.