Multivariate statistics of the jacobian matrices in tensor based morphometry and their application to HIV/AIDS

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

Volumn 4190 LNCS - I, Issue , 2006, Pages 191-198

  Lepore, Natasha ^a   Brun, Caroline A ^a   Chiang, Ming Chang ^a   Chou, Yi Yu ^a   Dutton, Rebecca A ^a   Hayashi, Kiralee M ^a   Lopez, Oscar L ^b   Aizenstein, Howard J ^b   Toga, Arthur W ^a   Becker, James T ^b   Thompson, Paul M ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; DISEASES; STATISTICS; TENSORS; VIRUSES;

ANATOMY; BRAIN IMAGES; JACOBIAN MATRICES; TENSOR BASED MORPHOMETRY (TBM);

MATRIX ALGEBRA;

ACQUIRED IMMUNE DEFICIENCY SYNDROME; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; DIFFUSION WEIGHTED IMAGING; EVALUATION; FEMALE; HUMAN; IMAGE ENHANCEMENT; MALE; METHODOLOGY; MIDDLE AGED; MULTIVARIATE ANALYSIS; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; THREE DIMENSIONAL IMAGING;

ACQUIRED IMMUNODEFICIENCY SYNDROME; ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; DATA INTERPRETATION, STATISTICAL; DIFFUSION MAGNETIC RESONANCE IMAGING; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MALE; MIDDLE AGED; MULTIVARIATE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33750253230     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11866565_24     Document Type: Conference Paper

References (24)

1. Fréchet, M.: Les éléments aléatoires de nature quelconque dans un espace distancié. Ann. Inst. H. Poincaré 10 (1948) 215-310
2. Karcher, H.: Riemannian center of mass and mollifier smoothing. Commun Pure Appl. Math. 30 (1977) 509-541
3. Kendall, W.S.: Probability, convexity and harmonic maps with small imagel: Uniqueness and fine existence. Proc. Lond. Math. Soc. 3 (1990) 371406
4. Pennec, X.: Probabilities and statistics on Riemannian manifolds: Basic tools for geometric measurements. In: Proceedings of the IEEE-EURASIP Workshop on Non-Linear Signal and Image Processing (NSIP99), Antalya, Turkey (1999) 194-198
5. Pennec, X., Fillard, P., Ayache, N.: A Riemannian framework for tensor computing. International Journal of Computer Vision 66 (2006) 4166 A preliminary version appeared as INRIA Research Report 5255, July 2004.
6. Fletcher, P.T., Joshi, S.: Principal geodesic analysis on symmetric spaces: Statistics of diffusion tensors. In: Computer Vision ECCV 2004, Prague, Czech Republic (2004) 87-98
7. Fletcher, P.T.: Statistical Variability in Nonlinear Spaces: Application to Shape Analysis and DT-MRI. PhD thesis, Department of Computer Science, University of North Carolina, Chapel Hill, NC (2004)
8. Woods, R.P.: Characterizing volume and surface deformation in an atlas framework: theory, applications and implementation. Neurolmage 18 (2003) 769-788
9. Commowick, O., Stefanescu, R., Fillard, P., Arsigny, V., Ayache, N., Pennec, X., Malandain, G.: Incorporating statistical measures of anatomical variability in atlas-to-subject registration for conformal brain radiotherapy. In: Proceedings 8th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Part II, Palm Springs, CA, USA (2005) 927-934
10. Pennec, X., Stefanescu, R., Arsigny, V., Fillard, P., Ayache, N.: Riemannian elastic- ity: A statistical regularization framework for non-linear registration. In: Proceedings 8th International Conference on Medical Image Computing and Computer- Assisted Intervention (MICCAI), Palm Springs, CA, USA (2005) 943-950
11. Arsigny, V., Fillard, P., Pennec, X., Ayache, N.: Log-Euclidean metrics for fast and simple calculus on diffusion tensors. Magnetic Resonance in Medicine (2006) To appear. Preprint: INRIA RR 5584, 2005.
12. Christensen, G., Rabbitt, R., Miller, M.: Deformable templates using large deformation kinematics. IEEE Trans. Image Process. 5 (1996) 14351447
13. Batchelor, P., Moakher, M., Atkinson, D., Calamante, F., Connelly, A.: A rigorous framework for diffusion tensor calculus. Magnetic Resonance in Medicine 53 (2005) 221-225
14. Thompson, P., Dutton, R., Hayashi, K., Toga, A., Lopez, O., Aizenstein, H., Becker, J.: Thinning of the cerebral cortex visualized in HIV/AIDS reflects CD4+T-Iymphocyte decline. Proc. Natl. Acad. Sci. USA 102 (2005) 1564752
15. Bro-Nielsen, M., Gramkow, C.: Fast fluid registration of medical images. In: Proceedings of the 7th International Conference on Visualization in Biomedical Computing, Hamburg, Germany (1996) 267-276
16. Gramkow, C.: Registration of 2D and 3D medical images. Masters thesis, Danish Technical University, Copenhagen, Denmark (1996)
17. Chiang, M.C., Dutton, R.A., Hayashi, K.M., Lopez, O.L., Aizenstein, H.J., Toga, A.W., Becker, J.T., Thompson, P.M.: 3D pattern of brain atrophy in HIV/AIDS visualized using tensor-based morphometry. NeuroImage submitted (2006)
18. Studholme, C., Cardenas, V., Schuff, N., Rosen, H., Miller, B., Weiner, M.: Detecting spatially consistent structural differences in Alzheimers and fronto temporal dementia using deformation morphometry. In: Proceedings of International Conference onMedical Image Computing and Computer Assisted Intervention (MICCAI), Utrecht, Netherlands (2001) 41-48
19. Davatzikos, C., Gene, A., Xu, D., Resnick, S.: Voxel-based morphometry using the RAVENS maps: Methods and validation using simulated logitudinal atrophy. NeuroImage 14 (2001) 1361-1369
20. Cachier, P., Rey, D.: Symmetrisation of the non-rigid registration problem using inversion-invariant energies: Application to multiple sclerosis. In: Proceedings, MICCAI 2000. Volume 1935., Pittsburgh, PA (2000) 472-481
21. Ashburner, J., Friston, K.: High-dimensional image registration using symmetric priors. NeuroImage 9 (1999) 619-628
22. Leow, A.D., Geng, A., Becker, J., Davis, S.W., Toga, A.W., Thompson, P.M.: Inverse consistent mapping in 3D deformable image registration: Its construction and statistical properties, information processing in medical imaging. In: IPMI, Glenwood Springs, Colorado (2005)
23. Cao, J.: The excursion set of random fields with applications to human brain mapping. PhD thesis, Dpt. Mathematics and Statistics, McGill University, Montreal, Canada (1997)
24. Cao, J., Worsley, K.: Application of random fields in human brian mapping. In: M. Moore (Ed.) Spatial Statistics: Methodological Aspects and Applications. Volume 159. (2001) 169-182