Regularized SENSE reconstruction using iteratively refined total variation method

2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings

Volumn , Issue , 2007, Pages 121-124

  Liu, Bo ^a   Ying, Leslie ^a   Steckner, Michael ^b   Xie, Jun ^c   Sheng, Jinhua ^a  

^a University of Wisconsin Milwaukee   (United States)

^b Hitachi Medical Systems America   (United States)

^c MEDICAL COLLEGE OF WISCONSIN   (United States)

Author keywords

Bregman iteration; SENSE; Total variation regularization

Indexed keywords

BREGMAN ITERATION; TOTAL VARIATION REGULARIZATION;

ADAPTIVE ALGORITHMS; IMAGE QUALITY; INFORMATION ANALYSIS; ITERATIVE METHODS; PROBLEM SOLVING; SPURIOUS SIGNAL NOISE;

IMAGE RECONSTRUCTION;

EID: 36348952636     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2007.356803     Document Type: Conference Paper

References (17)

1. K. P. Pruessmann, M. Weiger, M.B. Scheidegger, and P.Boseiger, "SENSE: Sensitivity encoding for fast MRI," Magn. Reson. Med., vol.42, pp. 952-962, 1999.
2. M. A. Griswold, P. M. Jakob, R.M. Heidemann, M. Nittka, V. Jellus, J. Wang, B. Kiefer, and A. Haase, "Generalized autocalibrating partially parallel acquisitions (GRAPPA)," Magn. Reson. Med., vol 47, pp. 1202-1210, 2002.
3. M. Weiger, K.P. Pruessmann, C. Lessler, P. Roschmann, and P. Boesiger, "Specific coil design for sense: a six-element cardiac array," Magn. Reson. Med., vol. 45, pp. 495-504, 2001.
4. J. A.de Zwart, P. Ledden, P.van Gelderen, P.Kellman, and J.H.Duyn, "Design of a SENSE-Optimized High Sensitivity MRI Receive Coil for Human Brain Imaging," Magn. Reson. Med., 47, pp. 1218-1227 2002.
5. F.-H. Lin, K. K. Kwong, J.W. Belliveau, and L.L. Wald, "Parallel imaging reconstruction using automatic regularization," Magn. Reson. Med., vol. 51, pp. 559-567, 2004.
6. L. Ying, D. Xu and Z.-P. Liang, "On Tikhonov Regularization for image reconstruction in parallel MRI," in Proc. IEEE EMBS, pp. 1056-1059, 2004.
7. K. F. King and L. Angelos, "SENSE image quality improvement using matrix regularization," in Proc. ISMRM, pp.1771. 2001
8. L. I. Rudin, S. Osher and E. Fatemi, "Nonlinear total variation based noise removel algorithms," Physica D, vol. 60, pp. 259-268, 1992.
9. C. R. Vogel, "Computational Methods for inverese problems," SIAM 2002.
10. T. F. Chan and C.K.Wong, "Total Variation Blind Deconvolution," IEEE Tran. Imag. Proc. vol.7, pp. 370-375, 1998.
11. J. V. Velikina, "VAMPIRE: Variation Minimizing Parallel Imaging Reconstruction," in Proc. ISMRM. pp. 2424, 2005
12. T-C.Chang, L.He, and T.Fang, "MR Image Reconstruction from Sparse Radial Samples Using Bregman Iteration," in Proc. ISMRM, pp. 696. 2006
13. L. He, T-C. Chang, S. Osher, T. Fang, and P. Speier, "MR Image Reconstruction by using the iterative refinement method and nonlinear inverse scale space methods," Camreport; cam06-35, UCLA, 2006
14. S. Osher, M. Burger, D. Goldfarb, J. Xu, and W. Yin, "An iterative regularization Method for Total variation based Image Restoration," Multiscale Modeling and Simulations, vol.4, pp. 460-489, 2005.
15. K. P. Pruessmann, M. Weiger, and P. Boernert, "Advances in sensitivity encoding with arbitrary k-space trajectories," Magn. Reson. Med., vol. 46, pp. 638-651, 2001.
16. L.M. Bregman, "The relaxation method for finding the common point of convex sets and its application to die solution of problems in convex programming," USSR. Comp. Math, and Math. Phys., vol 1, pp. 200-217, 1967.
17. L.M. Bregman, "Finding the common point of convex sets by die methods of successive projection," Dokl. Akad. Nauk. USSR, vol. 162, pp. 487-490, 1965.