Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis.
暂无分享,去创建一个
Guido Gerig | Isabelle Corouge | P. Thomas Fletcher | Sarang C. Joshi | Sylvain Gouttard | S. Joshi | J. Gilmore | I. Corouge | G. Gerig | P. Fletcher
[1] Paul A. Yushkevich,et al. Deformable registration of diffusion tensor MR images with explicit orientation optimization , 2006, Medical Image Anal..
[2] Guido Gerig,et al. User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability , 2006, NeuroImage.
[3] Derek K. Jones,et al. Age effects on diffusion tensor magnetic resonance imaging tractography measures of frontal cortex connections in schizophrenia , 2006, Human brain mapping.
[4] Nicholas Ayache,et al. Fast and Simple Calculus on Tensors in the Log-Euclidean Framework , 2005, MICCAI.
[5] Paul A. Yushkevich,et al. Deformable Registration of Diffusion Tensor MR Images with Explicit Orientation Optimization , 2005, MICCAI.
[6] Maher Moakher,et al. A rigorous framework for diffusion tensor calculus , 2005, Magnetic resonance in medicine.
[7] Xavier Pennec,et al. A Riemannian Framework for Tensor Computing , 2005, International Journal of Computer Vision.
[8] Paul A. Yushkevich,et al. Registration of diffusion tensor images , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[9] P. Thomas Fletcher,et al. Principal Geodesic Analysis on Symmetric Spaces: Statistics of Diffusion Tensors , 2004, ECCV Workshops CVAMIA and MMBIA.
[10] Guido Gerig,et al. Towards a shape model of white matter fiber bundles using diffusion tensor MRI , 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).
[11] A. Alexander,et al. Diffusion tensor imaging of cerebral white matter: a pictorial review of physics, fiber tract anatomy, and tumor imaging patterns. , 2004, AJNR. American journal of neuroradiology.
[12] Simon R. Arridge,et al. Diffusion tensor magnetic resonance image regularization , 2004, Medical Image Anal..
[13] J. S. Marron,et al. Statistical variability in nonlinear spaces: application to shape analysis and dt-mri , 2004 .
[14] Guido Gerig,et al. Analysis Tool for Diffusion Tensor MRI , 2003, MICCAI.
[15] John H. Gilmore,et al. Quantitative Analysis of White Matter Fiber Properties along Geodesic Paths , 2003, MICCAI.
[16] A. Anderson,et al. Classification and quantification of neuronal fiber pathways using diffusion tensor MRI , 2003, Magnetic resonance in medicine.
[17] Carl-Fredrik Westin,et al. Deformable registration of DT-MRI data based on transformation invariant tensor characteristics , 2002, Proceedings IEEE International Symposium on Biomedical Imaging.
[18] J. Helpern,et al. Neuropsychiatric applications of DTI – a review , 2002, NMR in biomedicine.
[19] Christos Davatzikos,et al. A Framework for Callosal Fiber Distribution Analysis , 2002, NeuroImage.
[20] C. Beaulieu,et al. The basis of anisotropic water diffusion in the nervous system – a technical review , 2002, NMR in biomedicine.
[21] Derek K. Jones,et al. Spatial Normalization and Averaging of Diffusion Tensor MRI Data Sets , 2002, NeuroImage.
[22] Carl-Fredrik Westin,et al. Processing and visualization for diffusion tensor MRI , 2002, Medical Image Anal..
[23] H. Moser,et al. Imaging cortical association tracts in the human brain using diffusion‐tensor‐based axonal tracking , 2002, Magnetic resonance in medicine.
[24] James C. Gee,et al. Spatial transformations of diffusion tensor magnetic resonance images , 2001, IEEE Transactions on Medical Imaging.
[25] Isabelle Bloch,et al. Towards inference of human brain connectivity from MR diffusion tensor data , 2001, Medical Image Anal..
[26] J. Schnabel,et al. Nonlinear smoothing for reduction of systematic and random errors in diffusion tensor imaging , 2000, Journal of magnetic resonance imaging : JMRI.
[27] Ruzena Bajcsy,et al. Similarity Measures for Matching Diffusion Tensor Images , 1999, BMVC.
[28] Xavier Pennec,et al. Probabilities and statistics on Riemannian manifolds: Basic tools for geometric measurements , 1999, NSIP.
[29] Timothy F. Cootes,et al. Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..
[30] C. Goodall. Procrustes methods in the statistical analysis of shape , 1991 .
[31] S. Helgason. Differential Geometry, Lie Groups, and Symmetric Spaces , 1978 .
[32] M. Fréchet. Les éléments aléatoires de nature quelconque dans un espace distancié , 1948 .