Denoising diffusion-weighted MR magnitude image sequences using low rank and edge constraints

Proceedings - International Symposium on Biomedical Imaging

Volumn , Issue , 2012, Pages 1401-1404

  Lam, Fan ^a   Babacan, S Derin ^a   Haldar, Justin P ^b   Schuff, Norbert ^c   Liang, Zhi Pei ^a  

^a University of Illinois at Urbana Champaign   (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^c VETERANS AFFAIRS MEDICAL CENTER   (United States)

Author keywords

diffusion tensor imaging; Diffusion weighted imaging; edge constraints; low rank; Rician noise

Indexed keywords

DIFFUSION TENSOR; DIFFUSION WEIGHTED IMAGING; EDGE CONSTRAINTS; LOW RANK; RICIAN NOISE;

ALGORITHMS; DIFFUSION; MAGNETIC RESONANCE IMAGING; MAXIMUM LIKELIHOOD ESTIMATION; MEDICAL IMAGING; STEREO VISION; TENSORS;

DIFFUSION TENSOR IMAGING;

EID: 84864852141     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2012.6235830     Document Type: Conference Paper

References (18)

1. J. P. Haldar, V. J. Wedeen, M. Nezamzadeh, G. Dai, M. W. Weiner, N. Schuff, and Z.-P. Liang, "Improved diffusion imaging through SNR-enhancing joint reconstruction," Magn Reson Med, 2012, In Press.
2. R. D. Nowak, "Wavelet-based Rician noise removal for magnetic resonance imaging," IEEE Trans Image Process, vol. 8, pp. 1408 - 1419, 1999.
3. J. L. R. Andersson, "Maximum a posteriori estimation of diffusion tensor parameters using a Rician noise model: Why, how and but," NeuroImage, vol. 42, pp. 1340 - 1356, 2008.
4. V. Patel, Y. Shi, P. M. Thompson, and A. W. Toga, "K-SVD for HARDI denoising," pp. 1805 - 1808, 2011.
5. S. Basu, T. Fletcher, and R. Whitaker, "Rician noise removal in diffusion tensor MRI," MICCAI, vol. 9, pp. 117 - 125, 2006.
6. T. McGraw, B. Vemuri, E. Ozarslan, Y. Chen, and T. Mareci, "Variational denoising of diffusion weighted MRI," Inverse Problems and Imaging, vol. 3, pp. 625 - 648, 2009.
7. S. Aja-Fernandez, M. Niethammer, M. Kubicki, M. E. Shenton, and C.-F.Westin, "Restoration of DWI data using a Rician LMMSE estimator," IEEE Trans Med Imag, vol. 27, pp. 1389 - 1403, 2008.
8. N. Wiest-Daessle, S. Prima, P. Coupe, S.P. Morrissey, and C Barillot, "Rician noise removal by non-local means filtering for low signal-to-noise ratio MRI: applications to DT-MRI," MICCAI, vol. 11, pp. 171 - 179, 2008.
9. J. V. Manjon, P. Coupe, L. Marti-Bonmati, D. L. Collins, and MRobles, "Adaptive non-local means denoising of MR images with spatially varying noise levels," J Magn Reson Imag, vol. 31, pp. 192 - 203, 2010.
10. J. V. Manjon, N. A. Thacker, J. J. Lull, G. Garcia-Marti, L. Marti-Bonmati, and M. Robles, "Multicomponent MR image denoising," Int J Biomed Imaging, 2009.
11. Z.-P. Liang, "Spatiotemporal imaging with partially separable functions," pp. 988 - 991, 2007.
12. J. P. Haldar and Z.-P. Liang, "Spatiotemporal imaging with partially separable functions: A matrix recovery approach," pp. 716 - 719, 2010.
13. B. Zhao, J. P. Haldar, C. Brinegar, and Z.-P. Liang, "Low rankmatrix recovery for real-time cardiac MRI," pp. 996 - 999, 2010.
14. H. M. Nguyen, X. Peng, M. N. Do, and Z.-P. Liang, "Spatiotemporal denoising of MR spectroscopic imaging data by low-rank approximations," pp. 857 - 860, 2011.
15. H. Gudbjartsson and S. Patz, "The Rician distribution of noisy MRI data," Magn Reson Med, vol. 34, pp. 910-914, 1995.
16. D. Le Bihan, J. Mangin, C. Poupon, C. A. Clark, S. Pappata, N. Molko, and H. Chabriat, "Diffusion tensor imaging: Concepts and applications," J Magn Reson Imag, vol. 13, pp. 534 - 546, 2001.
17. J. P. Haldar and D. Hernando, "Rank-constrained solutions to linear matrix equations using PowerFactorization," IEEE Signal Process Lett, vol. 16, pp. 584 - 587, 2009.
18. J. Nocedal and S. J. Wright, Numerical Optimization, Springer, 2006.