Low-dose X-ray CT reconstruction based on joint sinogram smoothing and learned dictionary-based representation

Proceedings - International Symposium on Biomedical Imaging

Volumn , Issue , 2012, Pages 1012-1015

  Stojanovic, Ivana ^a   Pien, Homer ^b   Do, Synho ^b   Karl, W Clem ^a  

^a BOSTON UNIVERSITY   (United States)

^b MASSACHUSETTS GENERAL HOSPITAL   (United States)

Author keywords

learning; Low dose CT; overcomplete dictionary representations; sinogram smoothing; sparse representation

Indexed keywords

LEARNING; LOW-DOSE CT; OVERCOMPLETE DICTIONARIES; SINOGRAM SMOOTHING; SPARSE REPRESENTATION;

ANISOTROPY; IMAGE RECONSTRUCTION;

MEDICAL IMAGING;

EID: 84864839441     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2012.6235729     Document Type: Conference Paper

References (12)

1. J. Hsieh, "Adaptive streak artifact reduction in computed tomography resulting from excessive X-ray photon noise," Medical Physics, vol. 25, no. 11, pp. 2139-2147, 1998.
2. P.J. La Riviere, "Penalized-likelihood sinogram smoothing for low-dose CT," Medical Physics, vol. 32, no. 6, pp. 1676-1683, 2005.
3. J.Wang, T. Li, H. Lu, and Z. Liang, "Penalized weighted leastsquares approach to sinogram noise reduction and image reconstruction for low-dose X-ray computed tomography," Medical Imaging, IEEE Transactions on, vol. 25, no. 10, pp. 1272 -1283, oct. 2006.
4. I.A. Elbakri and J.A. Fessler, "Statistical image reconstruction for polyenergetic X-ray computed tomography," Medical Imaging, IEEE Transactions on, vol. 21, no. 2, pp. 89 -99, feb. 2002.
5. T. Li, X. Li, J. Wang, J. Wen, H. Lu, J. Hsieh, and Z. Liang, "Nonlinear sinogram smoothing for low-dose X-ray CT," Nuclear Science, IEEE Transactions on, vol. 51, no. 5, pp. 2505 - 2513, oct. 2004.
6. H.Y. Liao and G. Sapiro, "Sparse representations for limited data tomography," in Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on, may 2008, pp. 1375 -1378.
7. Q. Xu, H. Yu, X. Mou, and G. Wang, "Dictionary learning based low-dose X-ray CT reconstruction," in 11th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, July 2011, pp. 259-263.
8. J. Shtok, M. Elad, and M. Zibulevsky, "Sparsity-based sinogram denoising for low-dose computed tomography," in Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on, may 2011, pp. 569 -572.
9. K. Sauer and C. Bouman, "A local update strategy for iterative reconstruction from projections," IEEE Trans. on Signal Proc., vol. 41, no. 2, pp. 534-548, Feb. 1993.
10. C. Bouman and K. Sauer, "A unified approach to statistical tomography using coordinate descent optimization," IEEE Trans. on Image Proc., vol. 5, no. 3, pp. 480-492, Mar. 1996.
11. M. Aharon, M. Elad, and A. Bruckstein, "K - SVD: An algorithm for designing overcomplete dictionaries for sparse representation," Signal Processing, IEEE Transactions on, vol. 54, no. 11, pp. 4311 -4322, nov. 2006.
12. E. van den Berg and M. P. Friedlander, "SPGL1: A solver for large-scale sparse reconstruction," June 2007, http://www.cs.ubc.ca/labs/ scl/spgl1.