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Volumn , Issue , 2011, Pages 89-92

Reference-driven MR image reconstruction with sparsity and support constraints

Author keywords

Magnetic Resonance Imaging; Reference; Sparsity; Support Constraints

Indexed keywords

BASIS FUNCTIONS; COMPRESSED SENSING; DYNAMIC CONTRAST-ENHANCED IMAGING; IMAGE FEATURES; IMAGE MODELS; INDICATOR FUNCTIONS; INTERVENTIONAL IMAGING; K-SPACE; LOCAL CONTRAST; MR IMAGES; RECONSTRUCTION ALGORITHMS; RECONSTRUCTION METHOD; REFERENCE; REFERENCE IMAGE; SIMULATION RESULT; SPARSITY; TARGET IMAGES;

EID: 80055035627     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2011.5872361     Document Type: Conference Paper
Times cited : (19)

References (15)
  • 1
    • 0028695112 scopus 로고
    • An efficient method for dynamic magnetic resonance imaging
    • Z.-P. Liang and P.C. Lauterbur, "An efficient method for dynamic magnetic resonance imaging," IEEE Trans. Med. Imaging, vol. 13, pp. 677-686, 1994.
    • (1994) IEEE Trans. Med. Imaging , vol.13 , pp. 677-686
    • Liang, Z.-P.1    Lauterbur, P.C.2
  • 2
    • 31744440684 scopus 로고    scopus 로고
    • Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
    • E. Candes, J. Romberg, and T. Tao, "Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information," IEEE Trans. Info. Theory, vol. 52, pp. 489-509, 2006.
    • (2006) IEEE Trans. Info. Theory , vol.52 , pp. 489-509
    • Candes, E.1    Romberg, J.2    Tao, T.3
  • 3
    • 36849088522 scopus 로고    scopus 로고
    • Sparse MRI: The application of compressed sensing for rapid MR imaging
    • M. Lustig, D.L. Donoho, and J.M. Pauly, "Sparse MRI: The application of compressed sensing for rapid MR imaging," Mag. Reson. Med, vol. 58, pp. 1182-1195, 2007.
    • (2007) Mag. Reson. Med , vol.58 , pp. 1182-1195
    • Lustig, M.1    Donoho, D.L.2    Pauly, J.M.3
  • 4
    • 60349105482 scopus 로고    scopus 로고
    • K-t FOCUSS: A general compressed sensing framework for high resolution dynamic MRI
    • H. Jung, K. Sung, K.S. Nayak, E.Y. Kim, and J.C. Ye, "k-t FOCUSS: A general compressed sensing framework for high resolution dynamic MRI," Mag. Reson. Med, vol. 61, pp. 103-116, 2009.
    • (2009) Mag. Reson. Med , vol.61 , pp. 103-116
    • Jung, H.1    Sung, K.2    Nayak, K.S.3    Kim, E.Y.4    Ye, J.C.5
  • 5
    • 0036893154 scopus 로고    scopus 로고
    • A self-referencing level-set method for image reconstruction from sparse fourier samples
    • J.C. Ye, Y. Bresler, and P. Moulin, "A self-referencing level-set method for image reconstruction from sparse Fourier samples," International Journal of Computer Vision, vol. 50, pp. 253-270, 2002.
    • (2002) International Journal of Computer Vision , vol.50 , pp. 253-270
    • Ye, J.C.1    Bresler, Y.2    Moulin, P.3
  • 6
    • 77954588549 scopus 로고    scopus 로고
    • Modified-CS: Modifying compres-sive sensing for problems with partially known support
    • N. Vaswani and W. Lu, "Modified-CS: Modifying compres-sive sensing for problems with partially known support," IEEE Trans. Signal Processing, vol. 58, pp. 4595-4607, 2010.
    • (2010) IEEE Trans. Signal Processing , vol.58 , pp. 4595-4607
    • Vaswani, N.1    Lu, W.2
  • 7
    • 78651555630 scopus 로고    scopus 로고
    • Sparse signal reconstruction via iterative support detection
    • Y. Wang and W. Yin, "Sparse signal reconstruction via iterative support detection," SIAM Journal on Imaging Sciences, vol. 3, pp. 462-491, 2010.
    • (2010) SIAM Journal on Imaging Sciences , vol.3 , pp. 462-491
    • Wang, Y.1    Yin, W.2
  • 9
    • 51449111119 scopus 로고    scopus 로고
    • Iteratively reweighted algorithms for compressive sensing
    • IEEE
    • R. Chartrand and W. Yin, "Iteratively reweighted algorithms for compressive sensing," in Proceedings ICASSP. IEEE, 2008, vol. II, pp. 3869-3872.
    • (2008) Proceedings ICASSP , vol.2 , pp. 3869-3872
    • Chartrand, R.1    Yin, W.2
  • 10
    • 0031102203 scopus 로고    scopus 로고
    • Sparse signal reconstruction from limited data using FOCUSS: A re-weighted norm minimization algorithm
    • I.F. Gorodnitsky and B.D. Rao, "Sparse signal reconstruction from limited data using FOCUSS: A re-weighted norm minimization algorithm," IEEE Trans. Signal Processing, vol. 45, pp. 600-616, 1997.
    • (1997) IEEE Trans. Signal Processing , vol.45 , pp. 600-616
    • Gorodnitsky, I.F.1    Rao, B.D.2
  • 11
    • 17444406259 scopus 로고    scopus 로고
    • Smooth minimization of non-smooth functions
    • Y. Nesterov, "Smooth minimization of non-smooth functions," Math. Program, vol. 103, pp. 127-152, 2005.
    • (2005) Math. Program , vol.103 , pp. 127-152
    • Nesterov, Y.1
  • 12
    • 33646596282 scopus 로고    scopus 로고
    • Analysis of half-quadratic minimization methods for signal and image recovery
    • M. Nikolova and M.K. Ng, "Analysis of half-quadratic minimization methods for signal and image recovery," SIAM Journal on Scientific computing, vol. 27, pp. 937-966, 2005.
    • (2005) SIAM Journal on Scientific Computing , vol.27 , pp. 937-966
    • Nikolova, M.1    Ng, M.K.2
  • 13
    • 0000345334 scopus 로고
    • Splitting algorithms for the sum of two nonlinear operators
    • P.L. Lions and B. Mercier, "Splitting algorithms for the sum of two nonlinear operators," SIAM Jounal on Numerical Analysis, vol. 16, pp. 964-979, 1979.
    • (1979) SIAM Jounal on Numerical Analysis , vol.16 , pp. 964-979
    • Lions, P.L.1    Mercier, B.2
  • 14
    • 84969334819 scopus 로고    scopus 로고
    • The split bregman algorithm for l1 regularized problems
    • T. Goldstein and S. Osher, "The split bregman algorithm for l1 regularized problems," SIAM Journal on Imaging Scien, vol. 2, pp. 323-343, 2009.
    • (2009) SIAM Journal on Imaging Scien , vol.2 , pp. 323-343
    • Goldstein, T.1    Osher, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.