메뉴 건너뛰기




Volumn , Issue , 2008, Pages 693-696

Compressed sensing MRI based on nonsubsampled contourlet transform

Author keywords

[No Author keywords available]

Indexed keywords

DECAY (ORGANIC); MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING;

EID: 62949136039     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITME.2008.4743955     Document Type: Conference Paper
Times cited : (20)

References (15)
  • 1
    • 62949230239 scopus 로고
    • Quantitative evaluation of several partial Fourier reconstruction algorithms used in MRI
    • John Wiley, Hoboken
    • McGibney G., Smith M.R., Nichols S. T., and CrawleyA, "Quantitative evaluation of several partial Fourier reconstruction algorithms used in MRI", Magn. Reson. Med., John Wiley, Hoboken, 1993, 43(3), pp.335-341.
    • (1993) Magn. Reson. Med , vol.43 , Issue.3 , pp. 335-341
    • McGibney, G.1    Smith, M.R.2    Nichols, S.T.3    CrawleyA4
  • 2
    • 0032751897 scopus 로고    scopus 로고
    • Unaliasing by fourier-encoding the overlaps using the temporal dimension (UNFOLD), applied to cardiac imaging and fMRI
    • John Wiley, Hoboken
    • Madore B., Glover G., and Pelc N., "Unaliasing by fourier-encoding the overlaps using the temporal dimension (UNFOLD), applied to cardiac imaging and fMRI", Magn. Reson. Med. John Wiley, Hoboken, 1999, 42(5), pp.813-828.
    • (1999) Magn. Reson. Med , vol.42 , Issue.5 , pp. 813-828
    • Madore, B.1    Glover, G.2    Pelc, N.3
  • 3
    • 31744440684 scopus 로고    scopus 로고
    • Robust uncertainty principles: Exact signal reconstruction from, highly incomplete frequency information
    • IEEE, Washington D.C
    • Candès E., Romberg J., and Tao T., "Robust uncertainty principles: Exact signal reconstruction from, highly incomplete frequency information", IEEE Trans. Information Theory, IEEE, Washington D.C., 2006, 52(2), pp. 489-509.
    • (2006) IEEE Trans. Information Theory , vol.52 , Issue.2 , pp. 489-509
    • Candès, E.1    Romberg, J.2    Tao, T.3
  • 4
    • 33645712892 scopus 로고    scopus 로고
    • Compressed sensing
    • IEEE, Washington D.C
    • Donoho D., "Compressed sensing", IEEE Trans. Information Theory, IEEE, Washington D.C., 2006, 52(4), pp. 1289-1306.
    • (2006) IEEE Trans. Information Theory , vol.52 , Issue.4 , pp. 1289-1306
    • Donoho, D.1
  • 5
    • 36849088522 scopus 로고    scopus 로고
    • Lustig M., Donoho D., and Pauly J. M., Sparse MRI: the application of compressed sensing for Rapid MR imaging, Magnetic Resonance in Medicine, John Wiley, Hoboken, 2007, 58 (6), pp. 1182-1195.
    • Lustig M., Donoho D., and Pauly J. M., "Sparse MRI: the application of compressed sensing for Rapid MR imaging", Magnetic Resonance in Medicine, John Wiley, Hoboken, 2007, 58 (6), pp. 1182-1195.
  • 6
    • 34250320137 scopus 로고    scopus 로고
    • Undersampled radial MRI with multiple coils, iterative image reconstruction using total variation constraint
    • John Wiley, Hoboken
    • Block K. T., Uecker M., and Frahm J., "Undersampled radial MRI with multiple coils, iterative image reconstruction using total variation constraint", Magn. Reson. Med., John Wiley, Hoboken, 2007, 57 (6), pp. 1086-1098.
    • (2007) Magn. Reson. Med , vol.57 , Issue.6 , pp. 1086-1098
    • Block, K.T.1    Uecker, M.2    Frahm, J.3
  • 7
    • 37249085237 scopus 로고    scopus 로고
    • Best Basis Compressed Sensing
    • Springer-verlag, Berlin
    • Peyré G., "Best Basis Compressed Sensing", Lecture Notes in Computer Science, Springer-verlag, Berlin, 2007, 4485, pp. 80-91.
    • (2007) Lecture Notes in Computer Science , vol.4485 , pp. 80-91
    • Peyré, G.1
  • 8
    • 43749118418 scopus 로고    scopus 로고
    • Compressed sensing and redundant dictionaries
    • IEEE, Washington D.C
    • Rauhut H., Schnass K., and Vandergheynst P., "Compressed sensing and redundant dictionaries", IEEE Trans. Information Theory, IEEE, Washington D.C., 2008, 54(5), pp.2210-2219.
    • (2008) IEEE Trans. Information Theory , vol.54 , Issue.5 , pp. 2210-2219
    • Rauhut, H.1    Schnass, K.2    Vandergheynst, P.3
  • 10
    • 28944432472 scopus 로고    scopus 로고
    • The contourlet transform: An efficient directional multiresolution image representation
    • IEEE, Washington D.C
    • Do M. N., and Vetterli M., "The contourlet transform: an efficient directional multiresolution image representation", IEEE Trans. Image Processing, IEEE, Washington D.C., 2005, 14(12), pp.2091-2106.
    • (2005) IEEE Trans. Image Processing , vol.14 , Issue.12 , pp. 2091-2106
    • Do, M.N.1    Vetterli, M.2
  • 12
    • 17544369568 scopus 로고    scopus 로고
    • Sparse geometric image representation with bandelets
    • IEEE, Washington D.C
    • Pennec E., and Mallat S., "Sparse geometric image representation with bandelets", IEEE Trans. Image Processing, IEEE, Washington D.C., 2005, 14(4), pp.423-438.
    • (2005) IEEE Trans. Image Processing , vol.14 , Issue.4 , pp. 423-438
    • Pennec, E.1    Mallat, S.2
  • 13
    • 36248939849 scopus 로고    scopus 로고
    • A novel image fusion algorithm based on Bandelet transform
    • Science Press, Beijing
    • Qu X. B., Yan J. W., Xie G. F., Zhu Z. Q., and Chen B. G., "A novel image fusion algorithm based on Bandelet transform", Chinese Optics Letters, Science Press, Beijing,2007, 5(10),pp.569-572.
    • (2007) Chinese Optics Letters , vol.5 , Issue.10 , pp. 569-572
    • Qu, X.B.1    Yan, J.W.2    Xie, G.F.3    Zhu, Z.Q.4    Chen, B.G.5
  • 14
    • 33749161371 scopus 로고    scopus 로고
    • The nonsubsampled contourlet transform: Theory, design, and applications
    • IEEE, Washington D.C
    • Arthur D. C., Zhou J. P., and Do M. N, "The nonsubsampled contourlet transform: Theory, design, and applications", IEEE Trans. Image Processing, IEEE, Washington D.C., 2006, 15(10), pp.3089-3101.
    • (2006) IEEE Trans. Image Processing , vol.15 , Issue.10 , pp. 3089-3101
    • Arthur, D.C.1    Zhou, J.P.2    Do, M.N.3
  • 15
    • 62949176240 scopus 로고    scopus 로고
    • Available at
    • Available at http://www.stan.ford.edu/~mlustig/.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.