메뉴 건너뛰기




Volumn , Issue , 2008, Pages 213-216

Multivariate segmentation of brain tissues by fusion of MRI and DTI data

Author keywords

DTI; MRI; Multivariate statistical analysis; Subcortical brain tissue segmentation

Indexed keywords

BRAIN; HISTOLOGY; IMAGE ENHANCEMENT; RESONANCE; SEMICONDUCTOR DOPING; STATISTICAL METHODS; TECHNICAL PRESENTATIONS; TISSUE;

EID: 51049121151     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2008.4540970     Document Type: Conference Paper
Times cited : (7)

References (15)
  • 1
    • 33747868671 scopus 로고    scopus 로고
    • Adaptive Markov modeling for mutual-information-based unsupervised MRI brain-tissue classification
    • S. P. Awate, T. Tasdizen, N. L. Foster, and R. T. Whitaker. Adaptive Markov modeling for mutual-information-based unsupervised MRI brain-tissue classification. Medical Image Analysis, 10(5):726-739, 2006.
    • (2006) Medical Image Analysis , vol.10 , Issue.5 , pp. 726-739
    • Awate, S.P.1    Tasdizen, T.2    Foster, N.L.3    Whitaker, R.T.4
  • 2
    • 0035384864 scopus 로고    scopus 로고
    • Automatic segmentation of subcortical brain structures in mr images using information fusion
    • V. Barra and J.-Y. Boire. Automatic segmentation of subcortical brain structures in mr images using information fusion. IEEE Transactions Medical Imaging, 20(7):549-558, 2001.
    • (2001) IEEE Transactions Medical Imaging , vol.20 , Issue.7 , pp. 549-558
    • Barra, V.1    Boire, J.-Y.2
  • 3
    • 36248980391 scopus 로고    scopus 로고
    • S. Gouttard, M. Styner, S. Joshi, and G. Gerig. Subcortical structure segmentation using probabilistic atlas priors. In Proc. SPIE Medical Imaging Conference, pages 65122J1-65122J11, 2007.
    • S. Gouttard, M. Styner, S. Joshi, and G. Gerig. Subcortical structure segmentation using probabilistic atlas priors. In Proc. SPIE Medical Imaging Conference, pages 65122J1-65122J11, 2007.
  • 4
    • 33846804087 scopus 로고    scopus 로고
    • Diffusion tensor imaging based tissue segmentation: Validation and application to the developing child and adolescent brain
    • K. Hasan, C. Halphen, A. Sankar, T. Eluvathingal, L. Kramer, K. Stuebing, L. Ewing-Cobbs, and J. Fletcher. Diffusion tensor imaging based tissue segmentation: validation and application to the developing child and adolescent brain. NeuroImage, 34(4):1497-1505, 2007.
    • (2007) NeuroImage , vol.34 , Issue.4 , pp. 1497-1505
    • Hasan, K.1    Halphen, C.2    Sankar, A.3    Eluvathingal, T.4    Kramer, L.5    Stuebing, K.6    Ewing-Cobbs, L.7    Fletcher, J.8
  • 6
    • 35649023697 scopus 로고    scopus 로고
    • Diffusion tensor analysis with invariant gradients and rotation tangents
    • G. Kindlmann, D. B. Ennis, R. T. Whitaker, and C.-F. Westin. Diffusion tensor analysis with invariant gradients and rotation tangents. IEEE Trans. Med. Imag., 26(11):1483-1499, 2007.
    • (2007) IEEE Trans. Med. Imag , vol.26 , Issue.11 , pp. 1483-1499
    • Kindlmann, G.1    Ennis, D.B.2    Whitaker, R.T.3    Westin, C.-F.4
  • 7
    • 0037255814 scopus 로고    scopus 로고
    • A unifying framework for partial volume segmentation of brain MR images
    • K. V. Leemput, F. Maes, D. Vandermeulen, and P. Suetens. A unifying framework for partial volume segmentation of brain MR images. IEEE Tr. Med. Imaging, 22(1):105-119, 2003.
    • (2003) IEEE Tr. Med. Imaging , vol.22 , Issue.1 , pp. 105-119
    • Leemput, K.V.1    Maes, F.2    Vandermeulen, D.3    Suetens, P.4
  • 9
    • 34548759051 scopus 로고    scopus 로고
    • Brain tissue segmentation based on DTI data
    • T. Liu, H. Li, K. Wong, A. Tarokh, L. Guo, and S. T. Wong. Brain tissue segmentation based on DTI data. Neuroimage, 38(1):114-123, 2007.
    • (2007) Neuroimage , vol.38 , Issue.1 , pp. 114-123
    • Liu, T.1    Li, H.2    Wong, K.3    Tarokh, A.4    Guo, L.5    Wong, S.T.6
  • 10
    • 33646589721 scopus 로고    scopus 로고
    • 76-space analysis of grey matter diffusivity: Methods and applications
    • T. Liu, G. Young, L. Huang, N.-K. Chen, and S. T. Wong. 76-space analysis of grey matter diffusivity: Methods and applications. Neuroimage, 31(1):51-65, 2006.
    • (2006) Neuroimage , vol.31 , Issue.1 , pp. 51-65
    • Liu, T.1    Young, G.2    Huang, L.3    Chen, N.-K.4    Wong, S.T.5
  • 12
    • 14244256353 scopus 로고    scopus 로고
    • Volumetric, connective, and morphologic changes in the brains of children with chromosome 22q11.2 deletion syndrome: An integrative study
    • T. Simon, L. Ding, J. Bish, D. McDonald-McGinn, E. Zackai, and J. Gee. Volumetric, connective, and morphologic changes in the brains of children with chromosome 22q11.2 deletion syndrome: an integrative study. NeuroImage, 25(1):169-180, 2005.
    • (2005) NeuroImage , vol.25 , Issue.1 , pp. 169-180
    • Simon, T.1    Ding, L.2    Bish, J.3    McDonald-McGinn, D.4    Zackai, E.5    Gee, J.6
  • 13
    • 1942438249 scopus 로고    scopus 로고
    • Simultaneous truth and performance level estimation (STAPLE): An algorithm for the validation of image segmentation
    • S. Warfield, K. Zou, and W. Wells. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation. IEEE Trans. Med. Imag., 23(7):903-921, 2004.
    • (2004) IEEE Trans. Med. Imag , vol.23 , Issue.7 , pp. 903-921
    • Warfield, S.1    Zou, K.2    Wells, W.3
  • 15
    • 0034745001 scopus 로고    scopus 로고
    • Segmentation of brain MR images through a hidden Markov random field model and the expectation maximization algorithm
    • Y. Zhang, M. Brady, and S. Smith. Segmentation of brain MR images through a hidden Markov random field model and the expectation maximization algorithm. IEEE Tr. Med. Imaging, 20:45-57, 2001.
    • (2001) IEEE Tr. Med. Imaging , vol.20 , pp. 45-57
    • Zhang, Y.1    Brady, M.2    Smith, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.