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Volumn , Issue , 2009, Pages 1633-1641

Speeding up magnetic resonance image acquisition by Bayesian multi-slice adaptive compressed sensing

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; DYNAMICAL SYSTEMS; LINEAR CONTROL SYSTEMS; MAGNETIC RESONANCE IMAGING;

EID: 77956510881     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (28)
  • 3
    • 31744440684 scopus 로고    scopus 로고
    • Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
    • E. Candès, J. Romberg, and T. Tao. Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information. IEEE Trans. Inf. Theo., 52(2):489-509, 2006.
    • (2006) IEEE Trans. Inf. Theo. , vol.52 , Issue.2 , pp. 489-509
    • Candès, E.1    Romberg, J.2    Tao, T.3
  • 5
    • 33645712892 scopus 로고    scopus 로고
    • Compressed sensing
    • D. Donoho. Compressed sensing. IEEE Trans. Inf. Theo., 52(4):1289-1306, 2006.
    • (2006) IEEE Trans. Inf. Theo. , vol.52 , Issue.4 , pp. 1289-1306
    • Donoho, D.1
  • 7
    • 0038132749 scopus 로고    scopus 로고
    • A variational method for learning sparse and overcomplete representations
    • M. Girolami. A variational method for learning sparse and overcomplete representations. N. Comp., 13:2517-2532, 2001.
    • (2001) N. Comp. , vol.13 , pp. 2517-2532
    • Girolami, M.1
  • 10
    • 33746803555 scopus 로고
    • Image formation by induced local interactions: Examples employing nuclear magnetic resonance
    • P. Lauterbur. Image formation by induced local interactions: Examples employing nuclear magnetic resonance. Nature, 242:190-191, 1973.
    • (1973) Nature , vol.242 , pp. 190-191
    • Lauterbur, P.1
  • 11
    • 56749103961 scopus 로고    scopus 로고
    • Understanding camera trade-offs through a Bayesian analysis of light field projections
    • LNCS 5305 Springer
    • A. Levin, W. Freeman, and F. Durand. Understanding camera trade-offs through a Bayesian analysis of light field projections. In European Conference on Computer Vision, LNCS 5305, pages 88-101. Springer, 2008.
    • (2008) European Conference on Computer Vision , pp. 88-101
    • Levin, A.1    Freeman, W.2    Durand, F.3
  • 12
    • 36849088522 scopus 로고    scopus 로고
    • Sparse MRI: The application of compressed sensing for rapid MR imaging
    • M. Lustig, D. Donoho, and J. Pauly. Sparse MRI: The application of compressed sensing for rapid MR imaging. Magn. Reson. Med., 85(6):1182-1195, 2007.
    • (2007) Magn. Reson. Med. , vol.85 , Issue.6 , pp. 1182-1195
    • Lustig, M.1    Donoho, D.2    Pauly, J.3
  • 13
    • 84925567089 scopus 로고    scopus 로고
    • SPIR-iT: Iterative self consistent parallel imaging reconstruction from arbitrary k-space
    • In print
    • M. Lustig and J. Pauly. SPIR-iT: Iterative self consistent parallel imaging reconstruction from arbitrary k-space. Magn. Reson. Med., 2009. In print.
    • (2009) Magn. Reson. Med.
    • Lustig, M.1    Pauly, J.2
  • 14
    • 0032751897 scopus 로고    scopus 로고
    • Unalising by fourier-encoding the overlaps using the temporal dimension (UNFOLD), applied to cardiac imaging and fMRI
    • B. Madore, G. Glover, and N. Pelc. Unalising by Fourier-encoding the overlaps using the temporal dimension (UNFOLD), applied to cardiac imaging and fMRI. Magn. Reson. Med., 42:813-828, 1999.
    • (1999) Magn. Reson. Med. , vol.42 , pp. 813-828
    • Madore, B.1    Glover, G.2    Pelc, N.3
  • 15
    • 33947682695 scopus 로고    scopus 로고
    • Low-rank variance estimation in large-scale GMRF models
    • D. Malioutov, J. Johnson, and A. Willsky. Low-rank variance estimation in large-scale GMRF models. In ICASSP, 2006.
    • (2006) ICASSP
    • Malioutov, D.1    Johnson, J.2    Willsky, A.3
  • 21
    • 0034770603 scopus 로고    scopus 로고
    • Krylov subspace estimation
    • M. Schneider and A. Willsky. Krylov subspace estimation. SIAM J. Comp., 22(5):1840-1864, 2001.
    • (2001) SIAM J. Comp. , vol.22 , Issue.5 , pp. 1840-1864
    • Schneider, M.1    Willsky, A.2
  • 23
    • 56449114803 scopus 로고    scopus 로고
    • Compressed sensing and Bayesian experimental design
    • M. Seeger and H. Nickisch. Compressed sensing and Bayesian experimental design. In ICML 25, 2008.
    • (2008) ICML 25
    • Seeger, M.1    Nickisch, H.2
  • 24
    • 84858776889 scopus 로고    scopus 로고
    • Bayesian experimental design of magnetic resonance imaging sequences
    • M. Seeger, H. Nickisch, R. Pohmann, and B. Schölkopf. Bayesian experimental design of magnetic resonance imaging sequences. In NIPS 21, pages 1441-1448, 2009.
    • (2009) NIPS 21 , pp. 1441-1448
    • Seeger, M.1    Nickisch, H.2    Pohmann, R.3    Schölkopf, B.4
  • 25
    • 27544449064 scopus 로고    scopus 로고
    • On the construction of a reduced rank square-root Kalman filter for efficient uncertainty propagation
    • D. Treebushny and H. Madsen. On the construction of a reduced rank square-root Kalman filter for efficient uncertainty propagation. Future Gener. Comput. Syst., 21(7):1047-1055, 2005.
    • (2005) Future Gener. Comput. Syst. , vol.21 , Issue.7 , pp. 1047-1055
    • Treebushny, D.1    Madsen, H.2
  • 26
    • 0242385483 scopus 로고    scopus 로고
    • K-t BLAST and k-t SENSE: Dynamic MRI with high frame rate exploting spatiotemporal correlations
    • J. Tsao, P. Boesinger, and K. Pruessmann. k-t BLAST and k-t SENSE: Dynamic MRI with high frame rate exploting spatiotemporal correlations. Magn. Reson. Med., 50:1031-1042, 2003.
    • (2003) Magn. Reson. Med. , vol.50 , pp. 1031-1042
    • Tsao, J.1    Boesinger, P.2    Pruessmann, K.3
  • 28
    • 0026235175 scopus 로고
    • Filtering noise from images with wavelet transforms
    • J. Weaver, Y. Xu, D. Healy, and L. Cromwell. Filtering noise from images with wavelet transforms. Magn. Reson. Med., 21(2):288-295, 1991.
    • (1991) Magn. Reson. Med. , vol.21 , Issue.2 , pp. 288-295
    • Weaver, J.1    Xu, Y.2    Healy, D.3    Cromwell, L.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.