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Volumn 3953 LNCS, Issue , 2006, Pages 514-525

Algebraic methods for direct and feature based registration of diffusion tensor images

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT THEORY; LINEAR ALGEBRA; MATHEMATICAL MODELS; PROBLEM SOLVING; TENSORS;

EID: 33745810590     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11744078_40     Document Type: Conference Paper
Times cited : (13)

References (23)
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  • 2
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    • Lori, N.F.1
  • 6
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    • An affine invariant tensor dissimilarity measure and its applications to tensor-valued image segmentation
    • Wang, Z., Vemuri, B.: An affine invariant tensor dissimilarity measure and its applications to tensor-valued image segmentation. IEEE Conference on Computer Vision and Pattern Recognition (2004)
    • (2004) IEEE Conference on Computer Vision and Pattern Recognition
    • Wang, Z.1    Vemuri, B.2
  • 8
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    • Classification and quantification of neuronal fiber pathways using diffusion tensor MRI
    • Ding, Z., et al. : Classification and quantification of neuronal fiber pathways using diffusion tensor MRI. Magnetic Resonance in Medicine 49 (2003) 716-721
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    • Ding, Z.1
  • 12
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    • Spatial transformation of diffusion tensor magnetic resonance images
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    • Alexander, D.1
  • 13
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    • Nonrigid registration of 3D tensor medical data
    • Ruiz-Alzola, J., et al. : Nonrigid registration of 3D tensor medical data. Medical Image Analysis 6 (2002) 143-161
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    • Ruiz-Alzola, J.1
  • 14
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    • Deformable registration of DT-MRI data based on transformation invariant tensor characteristics
    • Guimond, A., et al. : Deformable registration of DT-MRI data based on transformation invariant tensor characteristics. In: IEEE International Symposium on Biomedical Imaging. (2002)
    • (2002) IEEE International Symposium on Biomedical Imaging
    • Guimond, A.1
  • 15
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    • Spatial normalization of diffusion tensor MRI using multiple channels
    • Park, H.J., et al. : Spatial normalization of diffusion tensor MRI using multiple channels. Neuroimage 20 (2003) 1995-2009
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    • Computing optical flow across multiple scales: An adaptive coarse-to-fine strategy
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  • 20
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.