MRF's for MRI's: Bayesian reconstruction of MR images via graph cuts

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 1, Issue , 2006, Pages 1061-1068

  Raj, Ashish ^a   Singh, Gurmeet ^b   Zabih, Ramin ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b Department of Obstetrics Gynecology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DISCONTINUITIES; ENERGY MINIMIZATION PROBLEMS; FOURIER DATA; GRAPH CUTS;

COMPUTER VISION; GRAPH THEORY; IMAGE RECONSTRUCTION; MAGNETIC RESONANCE IMAGING; PROBLEM SOLVING; SIGNAL TO NOISE RATIO;

MARKOV PROCESSES;

EID: 33845566918     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2006.192     Document Type: Conference Paper

References (13)

1. R. Bammer and S. O. Schoenberg. Current concepts and advances in clinical parallel Magnetic Resonance imaging. Topics in Magnetic Resonance Imaging, 15(3): 129-58, 2004.
2. E. Boros and P. L. Hammer. Pseudo-boolean optimization. Discrete Applied Mathematics, 123(1-3):155-225, 2002.
3. Y. Boykov, O. Veksler, and R. Zabih. Fast approximate energy minimization via graph cuts. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(11): 1222-1239, 2001.
4. V. Kolmogorov and R. Zabih. What energy functions can be minimized via graph cuts? IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(2): 147-59, 2004.
5. S. Li. Markov Random Field Modeling in Computer Vision. Springer-Verlag, 1995.
6. Z.-P. Liang and P. C. Lauterbur. Principles of Magnetic Resonance Imaging: A Signal Processing Perspective. IEEE press, 1999.
7. F. H. Lin, K. K. Kwong, J. W. Belliveau, and L. L. Wald. Parallel imaging reconstruction using automatic regularization. Magnetic Resonance in Medicine, 51(3):559-567, 2004.
8. K. P. Pruessmann, M. Weiger, M. B. Scheidegger, and B. Peter. SENSE: sensitivity encoding for fast MRI. Magnetic Resonance in Medicine, 42(5):952-962, 2001.
9. A. Raj, G. Singh, R. Zabih, B. Kressler, Y. Wang, N. Schuff, and M. Weiner. Bayesian parallel imaging with edgepreserving priors. Magnetic Resonance in Medicine, 2006. to appear.
10. A. Raj and R. Zabih. A graph cut algorithm for generalized image deconvolution. In International Conference on Computer Vision (ICCV), 2005.
11. S. Reeder, B. Wintersperger, O. Dietrich, T. Lanz, A. Greiser, M. Reiser, G. Glazer, and S. Schoenberg. Practical approaches to the evaluation of signal-to-noise ratio performance with parallel imaging: Application with cardiac imaging and a 32-channel cardiac coil. Magnetic Resonance in Medicine, 54:748-754, 2005.
12. C. Rother, S. Kumar, V. Kolmogorov, and A. Blake. Digital tapestry. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2005.
13. D. Scharstein and R. Szeliski. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. International Journal of Computer Vision, 47:7-42, 2002.