메뉴 건너뛰기




Volumn , Issue , 2009, Pages 218-223

A robust parametric method for bias field estimation and segmentation of MR images

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; HISTOLOGY; IMAGE SEGMENTATION; ITERATIVE METHODS; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; TISSUE;

EID: 70450184109     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2009.5206553     Document Type: Conference Paper
Times cited : (93)

References (19)
  • 1
    • 70450137142 scopus 로고    scopus 로고
    • http://www.bic.mni.mcgill.ca/brainweb/.
  • 2
    • 0036489378 scopus 로고    scopus 로고
    • A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data
    • March
    • M. Ahmed, S. Yamany, N. Mohamed, A. Farag, and T. Moriarty. A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data. IEEE Trans. Med. Imaging, 21(3):193-199, March 2002.
    • (2002) IEEE Trans. Med. Imaging , vol.21 , Issue.3 , pp. 193-199
    • Ahmed, M.1    Yamany, S.2    Mohamed, N.3    Farag, A.4    Moriarty, T.5
  • 3
    • 0004236492 scopus 로고    scopus 로고
    • The Johns Hopkins University Press, 3rd edition
    • G. Golub and C. V. Loan. Matrix Computations. The Johns Hopkins University Press, 3rd edition, 1996.
    • (1996) Matrix Computations
    • Golub, G.1    Loan, C.V.2
  • 4
    • 0031150141 scopus 로고    scopus 로고
    • Estimating the bias field of MR images
    • June
    • R. Guillemaud and J. Brady. Estimating the bias field of MR images. IEEE Trans. Med. Imag., 16(3):238-251, June 1997.
    • (1997) IEEE Trans. Med. Imag. , vol.16 , Issue.3 , pp. 238-251
    • Guillemaud, R.1    Brady, J.2
  • 5
    • 0004151494 scopus 로고
    • Cambridge University Press, Cambridge
    • R. Horn and C. Johnson. Matrix Analysis. Cambridge University Press, Cambridge, 1985.
    • (1985) Matrix Analysis
    • Horn, R.1    Johnson, C.2
  • 6
    • 0030126711 scopus 로고    scopus 로고
    • Segmentation of multiple sclerosis lesions in intensity corrected multispectral MRI
    • April
    • B. Johnston, M. S. Atkins, B. Mackiewich, and M. Anderson. Segmentation of multiple sclerosis lesions in intensity corrected multispectral MRI. IEEE Trans. Med. Imag., 15(2):154-169, April 1996.
    • (1996) IEEE Trans. Med. Imag. , vol.15 , Issue.2 , pp. 154-169
    • Johnston, B.1    Atkins, M.S.2    Mackiewich, B.3    Anderson, M.4
  • 9
    • 70349320323 scopus 로고    scopus 로고
    • MRI tissue classification and bias field estimation based on coherent local intensity clustering: A unified energy minimization framework
    • VA on July 5-10, Williamsburg
    • C. Li, C. Xu, A. Anderson, and J. 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), Williamsburg, VA on July 5-10, 2009.
    • (2009) Proceedings of Information Processing in Medical Imaging (IPMI)
    • Li, C.1    Xu, C.2    Anderson, A.3    Gore, J.4
  • 10
    • 0035544623 scopus 로고    scopus 로고
    • Retrospective correction of mr intensity inhomogeneity by information minimization
    • December
    • B. Likar, M. Viergever, and F. Pernus. Retrospective correction of mr intensity inhomogeneity by information minimization. IEEE Trans. Med. Imag., 20(12):1398-1410, December 2001.
    • (2001) IEEE Trans. Med. Imag. , vol.20 , Issue.12 , pp. 1398-1410
    • Likar, B.1    Viergever, M.2    Pernus, F.3
  • 11
    • 0033181293 scopus 로고    scopus 로고
    • Adaptive fuzzy segmentation of magnetic resonance images
    • September
    • D. Pham and J. Prince. Adaptive fuzzy segmentation of magnetic resonance images. IEEE Trans. Med. Imag., 18(9):737-752, September 1999. 1.
    • (1999) IEEE Trans. Med. Imag. , vol.18 , Issue.9 , pp. 737-752
    • Pham, D.1    Prince, J.2
  • 14
    • 0031987382 scopus 로고    scopus 로고
    • A nonparametric method for automatic correction of intensity nonuniformity in MRI data
    • January
    • J. Sled, A. Zijdenbos, and A. Evans. A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Trans. Med. Imaging, 17(1):87-97, January 1998.
    • (1998) IEEE Trans. Med. Imaging , vol.17 , Issue.1 , pp. 87-97
    • Sled, J.1    Zijdenbos, A.2    Evans, A.3
  • 15
    • 0033623981 scopus 로고    scopus 로고
    • Parametric estimate of intensity inhomogeneities applied to MRI
    • March
    • M. Styner, C. Brechbuhler, G. Szekely, and G. Gerig. Parametric estimate of intensity inhomogeneities applied to MRI. IEEE Trans. Med. Imag., 19(3):153-165, March 2000.
    • (2000) IEEE Trans. Med. Imag. , vol.19 , Issue.3 , pp. 153-165
    • Styner, M.1    Brechbuhler, C.2    Szekely, G.3    Gerig, G.4
  • 16
    • 0027607954 scopus 로고
    • Polynomial modeling and reduction of rf body coil spatial inhomogeneity in MRI
    • M. Tincher, C. R. Meyer, R. Gupta, and D. M. Williams. Polynomial modeling and reduction of rf body coil spatial inhomogeneity in MRI. IEEE Trans. Med. Imag., 12(2):361-365, 1993.
    • (1993) IEEE Trans. Med. Imag. , vol.12 , Issue.2 , pp. 361-365
    • Tincher, M.1    Meyer, C.R.2    Gupta, R.3    Williams, D.M.4
  • 17
    • 33847774807 scopus 로고    scopus 로고
    • A review of methods for correction of intensity inhomogeneity in MRI
    • March
    • U. Vovk, F. Pernus, and B. Likar. A review of methods for correction of intensity inhomogeneity in MRI. IEEE Trans. Med. Imag., 26(3):405-421, March 2007.
    • (2007) IEEE Trans. Med. Imag. , vol.26 , Issue.3 , pp. 405-421
    • Vovk, U.1    Pernus, F.2    Likar, B.3
  • 19
    • 0027193859 scopus 로고
    • Correction of intensity nonuniformity in MR images of any orientation
    • D. A. G. Wicks, G. J. Barker, and P. S. Tofts. Correction of intensity nonuniformity in MR images of any orientation. Magn. Reson. Imag., 11(2):183-196, 1993.
    • (1993) Magn. Reson. Imag. , vol.11 , Issue.2 , pp. 183-196
    • Wicks, D.A.G.1    Barker, G.J.2    Tofts, P.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.