Statistical analysis of tensor fields

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6361 LNCS, Issue PART 1, 2010, Pages 682-689

  Xie, Yuchen ^a   Vemuri, Baba C ^a   Ho, Jeffrey ^a  

^a UNIVERSITY OF FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIMENSION REDUCTION; GLOBAL CORRELATION; HIGH-DIMENSIONAL; PRINCIPAL GEODESIC ANALYSIS; RIEMANNIAN FRAMEWORK; STATISTICAL ANALYSIS; TANGENT SPACE; TANGENT VECTORS; TENSOR FIELDS; VOXEL-BASED APPROACHES;

MEDICAL COMPUTING; MEDICAL IMAGING; PRINCIPAL COMPONENT ANALYSIS; VECTOR SPACES;

TENSORS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84883826941     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15705-9_83     Document Type: Conference Paper

References (10)

1. Basser, P.J., Mattiello, J., Le Bihan, D.: MR diffusion tensor spectroscopy and imaging. Biophysics Journal 66, 295-267 (1994)
2. Lepore, N., Brun, C., Chou, Y., Chiang, M., Dutton, R.A., Hayashi, K.M., Luders, E., Lopez, O.L., Aizenstein, H.J., Toga, A.W., Becker, J.T., Thompson, P.M.: Generalized Tensor-Based Morphometry of HIV/AIDS Using Multicariate Statistics on Deformation Tensors. IEEE Transations on Medical Imaging (2008)
3. Fletcher, P.T., Joshi, S.: Riemannian Geometry for the Statistical Analysis of Diffusion Tensor Data. Signal Processing (2007)
4. Fletcher, P.T., Lu, C., Pizer, S.M., Joshi, S.: Principal Geodesic Analysis for the Study of Nonlinear Statistics of Shape. IEEE Transactions on Medical Imaging (2004)
5. Pennec, X., Fillard, P., Ayache, N.: A Riemannian Framework for Tensor Computing. International Journal of Computer Vision (2006)
6. Wu, J., Smith, W.A.P., Hancock, E.R.: Gender Classification using Shape from Shading. British Machine Vision Conference (2007)
7. Marcus, D.S., Wang, T.H., Parker, J., Csernansky, J.G., Moris, J.C., Buckner, R.L.: Open Access Series of Imaging Studies (OASIS): Cross-Sectional MRI Data in Young, Middle Aged, Nondemented, and Demented Older Adults. Journal of Cognitive Neuroscience (2007)
8. Turk, M.A., Pentland, A.P.: Face Recognition Using Eigenfaces. In: IEEE Conference on Computer Vision and Pattern Recognition (1991)
9. Schwartzman, A.: Random Ellipsoids and False Discovery Rates: Statistics for Diffusion Tensor Imaging Data. Ph.D. dissertation, Dept. of Statistics. Stanford University (2006)
10. Joshi, S., Davis, B., Jomier, M., Gerig, G.: Unbiased Diffeomorphic Atlas Construction for Computational Anatomy. NeuroImage (2004)