A statistical model of white matter fiber bundles based on currents

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

Volumn 5636 LNCS, Issue , 2009, Pages 114-125

  Durrleman, Stanley ^a,b   Fillard, Pierre ^c   Pennec, Xavier ^a   Trouvé, Alain ^b   Ayache, Nicholas ^a  

^a INRIA   (France)

^b Inserm   (France)

^c CEA SACLAY   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ANATOMICAL FEATURES; APERTURE PROBLEMS; DIFFEOMORPHIC DEFORMATION; FIBER BUNDLES; ON CURRENTS; REGISTRATION SCHEME; STATISTICAL MODELS; WHITE MATTER FIBERS;

DATA PROCESSING; MEDICAL IMAGING; POPULATION STATISTICS;

FIBERS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; DIFFUSION WEIGHTED IMAGING; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MYELINATED NERVE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING; ULTRASTRUCTURE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; CLUSTER ANALYSIS; COMPUTER SIMULATION; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 70349320329     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02498-6_10     Document Type: Conference Paper

References (20)

1. Durrleman, S., Pennec, X., Trouvé, A., Thompson, P., Ayache, N.: Inferring brain variability from diffeomorphic deformations of currents: an integrative approach. Medical Image Analysis 12(5), 626-637 (2008)
2. Fillard, P., Arsigny, V., Pennec, X., Hayashi, K., Thompson, P., Ayache, N.: Measuring brain variability by extrapolating sparse tensor fields measured on sulcal lines. NeuroImage 34(2), 639-650 (2007)
3. Vaillant, M., Miller, M., Younes, L., Trouve, A.: Statistics on diffeomorphisms via tangent space representations. NeuroImage 23, 161-169 (2004)
4. Durrleman, S., Pennec, X., Trouvé, A., Ayache, N.: A forward model to build unbiased atlases from curves and surfaces. In: Proc. of MFCA 2008 (2008)
5. Goodlett, C., Fletcher, P., Gilmore, J., Gerig, G.: Group statistics of DTI fiber bundles using spatial functions of tensor measures. In: Metaxas, D., Axel, L., Fichtinger, G., Székely, G. (eds.) MICCAI 2008, Part II. LNCS, vol.5242, pp. 1068-1075. Springer, Heidelberg (2008)
6. Smith, S., Jenkinson, M., Johansen-Berg, H., Rueckert, D., Nichols, T., Mackay, C., Watkins, K., Ciccarelli, O., Cader, M., Matthews, P., Behrens, T.: Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data. NeuroImage 31, 1487-1505 (2006)
7. Zhang, H., Yushkevich, P.A., Rueckert, D., Gee, J.C.: Unbiased white matter atlas construction using diffusion tensor images. In: Ayache, N., Ourselin, S., Maeder, A. (eds.) MICCAI 2007, Part II. LNCS, vol.4792, pp. 211-218. Springer, Heidelberg (2007)
8. Yeo, B., Vercauteren, T., Fillard, P., Pennec, X., Golland, P., Ayache, N., Clatz, O.: DTI registration with exact finite-strain differential. In: ISBI 2008, pp. 700-703 (2008)
9. Corouge, I., Fletcher, P., Joshi, S., Gouttard, S., Gerig, G.: Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis. Medical Image Analysis (10), 786-798 (2006)
10. Ziyan, U., Sabuncu, M.R., O'Donnell, of Diffusion MR Images Based on Fiber Bundles. In: Ayache, N., Ourselin, S., Maeder, A. (eds.) MICCAI 2007, Part I. LNCS, vol.4791, pp. 351-358. Springer, Heidelberg (2007)
11. Batchelor, P.G., Calamante, F., Tournier, J.D., Atkinson, D., Hill, D.L.G., Con-nelly, A.: Quantification of the shape of fiber tracts. MRM 55(4), 894-903 (2006)
12. Vaillant, M., Glauńes, J.: Surface matching via currents. In: Christensen, G.E., Sonka, M. (eds.) IPMI 2005. LNCS, vol.3565, pp. 381-392. Springer, Heidelberg (2005)
13. Durrleman, S., Pennec, X., Trouvé, A., Ayache, N.: Sparse approximation of currents for statistics on curves and surfaces. In: Metaxas, D., Axel, L., Fichtinger, G., Székely, G. (eds.) MICCAI 2008, Part II. LNCS, vol.5242, pp. 390-398. Springer, Heidelberg (2008)
14. Saitoh, S.: Theory of Reproducing Kernels and Its Applications. Pitman Research Notes in Mathematics Series, vol.189. Wiley, Chichester (1988
15. Miller, M.I., Trouv́e, A., Younes, L.: On the metrics and Euler-Lagrange equations of computational anatomy. Annual Review of Biomed. Eng. 4, 375-405 (2002
16. Allassonníere, S., Amit, Y., Trouv́e, A.: Towards a coherent statistical framework for dense deformable template estimation. J. Roy. Stat. Soc. B 69(1), 3-29 (2007)
17. Fillard, P., Arsigny, V., Pennec, X., Ayache, N.: Clinical DT-MRI estimation, smoothing and fiber tracking with log-Euclidean metrics. IEEE Trans. on Medical Imaging 26(11), 1472-1482 (2007)
18. Vercauteren, T., Pennec, X., Malis, E., Perchant, A., Ayache, N.: Insight into ef-ficient image registration techniques and the demons algorithm. In: Karssemeijer, N., Lelieveldt, B. (eds.) IPMI 2007. LNCS, vol.4584, pp. 495-506. Springer, Heidelberg (2007)
19. Maddah, M., Wells, W.M., Warfield, S.K., Westin, C.F., Grimson, W.E.L.: Probabilistic clustering and quantitative analysis of white matter fiber tracts. In: Karsse-meijer, N., Lelieveldt, B. (eds.) IPMI 2007. LNCS, vol.4584, pp. 372-383. Springer, Heidelberg (2007)
20. El Kouby, V., Cointepas, Y., Poupon, C., Rivìere, D., Golestani, N., Pallier, C., Poline, J.B., Bihan, D.L., Mangin, J.F.: MR diffusion-based inference of a fiber bundle model from a population of subjects. In: Duncan, J.S., Gerig, G. (eds.) MICCAI 2005. LNCS, vol.3749, pp. 196-204. Springer, Heidelberg (2005