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Volumn , Issue , 2013, Pages 667-671

A fast global variational bias field correction method for MR images

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE SEGMENTATION; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING;

EID: 84896327642     PISSN: 18455921     EISSN: 18492266     Source Type: Conference Proceeding    
DOI: 10.1109/ispa.2013.6703822     Document Type: Conference Paper
Times cited : (6)

References (19)
  • 2
    • 79959576791 scopus 로고    scopus 로고
    • A level set method for image segmentation in the presence of intensity inhomogeneities with application to MRI
    • C. Li, R. Huang, Z. Ding et al., "A level set method for image segmentation in the presence of intensity inhomogeneities with application to MRI," IEEE Trans. on Image Processing, vol. 20, pp. 2007-2016, 2011.
    • (2011) IEEE Trans. on Image Processing , vol.20 , pp. 2007-2016
    • Li, C.1    Huang, R.2    Ding, Z.3
  • 3
    • 84969334819 scopus 로고    scopus 로고
    • The split bregman method for l1-regularized problems
    • T. Goldstein and S. Osher, "The split bregman method for l1-regularized problems," SIAM Journal of Imaging Sciences, vol. 2, no. 2, pp. 323-343, 2009.
    • (2009) SIAM Journal of Imaging Sciences , vol.2 , Issue.2 , pp. 323-343
    • Goldstein, T.1    Osher, S.2
  • 4
    • 33847774807 scopus 로고    scopus 로고
    • A review of methods for correction of intensity inhomogeneity in mri
    • U. Vovk, F. Pernus, and B. Likar, "A review of methods for correction of intensity inhomogeneity in mri," IEEE Trans. on Medical Imaging, vol. 26, no. 3, pp. 405-421, 2007.
    • (2007) IEEE Trans. on Medical Imaging , vol.26 , Issue.3 , pp. 405-421
    • Vovk, U.1    Pernus, F.2    Likar, B.3
  • 5
    • 33749522350 scopus 로고    scopus 로고
    • A review on mr image intensity inhomogeneity correction
    • Z. Hou, "A review on mr image intensity inhomogeneity correction," International Journal of Biomedical Imaging, vol. 1, pp. 1-11, 2006.
    • (2006) International Journal of Biomedical Imaging , vol.1 , pp. 1-11
    • Hou, Z.1
  • 12
    • 70349320323 scopus 로고    scopus 로고
    • Mri tissue classification and bias field estimation based on coherent local intensity clustering a unified energy minimization framework
    • C. Li, C. Xu, A. W. Anderson, and J. C. Gore, "Mri tissue classification and bias field estimation based on coherent local intensity clustering: A unified energy minimization framework," in Proceedings of Information Processing in Medical Imaging (IPMI), 2009, pp. 288-299.
    • (2009) Proceedings of Information Processing in Medical Imaging (IPMI) , pp. 288-299
    • Li, C.1    Xu, C.2    Anderson, A.W.3    Gore, J.C.4
  • 13
    • 78650890406 scopus 로고    scopus 로고
    • A new bias field correction method combining n3 and fcm for improved segmentation of breast density on mri
    • M. Lin, S. Chan et al., "A new bias field correction method combining n3 and fcm for improved segmentation of breast density on mri," Medical Physics, vol. 38, no. 1, 2011.
    • (2011) Medical Physics , vol.38 , Issue.1
    • Lin, M.1    Chan, S.2
  • 15
    • 44049111982 scopus 로고
    • Nonlinear rotal variation based noise removal algorithms
    • L. Rudin, S. Osher, and E. Fatemi, "Nonlinear rotal variation based noise removal algorithms," Physica D, vol. 60, pp. 259-268, 1992.
    • (1992) Physica D , vol.60 , pp. 259-268
    • Rudin, L.1    Osher, S.2    Fatemi, E.3
  • 17
    • 77956186438 scopus 로고    scopus 로고
    • Geometric applications of the split bregman method segmentation and surface reconstruction
    • T. Goldstein, X. Bresson, and S. Osher, "Geometric applications of the split bregman method: Segmentation and surface reconstruction," Journal of Scientific Computing, vol. 45, pp. 272-293, 2010.
    • (2010) Journal of Scientific Computing , vol.45 , pp. 272-293
    • Goldstein, T.1    Bresson, X.2    Osher, S.3
  • 18
    • 33750153530 scopus 로고    scopus 로고
    • Algorithms for finding global minimizers of image segmentation and denoising models
    • T. F. Chan, S. Esedoglu, and M. Nikolova, "Algorithms for finding global minimizers of image segmentation and denoising models," SIAM Journal of Applied Mathematics, vol. 66, no. 5, pp. 1632-1648, 2006.
    • (2006) SIAM Journal of Applied Mathematics , vol.66 , Issue.5 , pp. 1632-1648
    • Chan, T.F.1    Esedoglu, S.2    Nikolova, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.