Clinical DT-MRI estimation, smoothing, and fiber tracking with log-euclidean metrics

IEEE Transactions on Medical Imaging

Volumn 26, Issue 11, 2007, Pages 1472-1482

  Filiard, Pierre ^a   Pennec, Xavier ^a   Arsigny, Vincent ^a   Ayache, Nicholas ^a  

^a INRIA   (France)

Author keywords

DT MRI; Estimation; Log Euclidean; Smoothing; Tractography

Indexed keywords

DIFFUSION; GAUSSIAN NOISE (ELECTRONIC); IMAGE QUALITY; MAXIMUM LIKELIHOOD; OPTIMIZATION; SIGNAL TO NOISE RATIO; TENSORS;

IMAGE LOGARITHMS; RIEMANNIAN METRICS; TRACTOGRAPHY;

MAGNETIC RESONANCE IMAGING;

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

ALGORITHMS; ARTIFICIAL INTELLIGENCE; 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: 35648969603     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2007.899173     Document Type: Article

References (22)

1. P. Basser, J. Mattiello, and D. L. Bihan, "MR diffusion tensor spectroscopy and imaging," Biophys. J., vol. 66, pp. 259-267, 1994.
2. P. Fillard, V. Arsigny, X. Pennec, and N. Ayache, "Clinical DT-MRI estimation, smoothing and fiber tracking with log-Euclidean metrics," in Proc. ISBI'06, Apr. 2006, pp. 786-789.
3. P. Basser, J. Mattiello, and D. LeBihan, "Estimation of the effective self-diffusion tensor from the NMR spin echo," J. Magn. Reson., ser. B, vol. 103, no. 3, pp. 247-254, Mar. 1994.
4. C.-F. Westin, S. Maier, H. Mamata, A. Nabavi, F. Jolesz, and R. Kikinis, "Processing and visualization for diffusion tensor MRI," Med. Image Anal., vol. 6, no. 2, pp. 93-108, Jun 2002.
5. R. Deriche, D. Tschumperlé, and C. Lenglet, "DT-MRI estimation, regularization and fiber tractography," in Proc. ISBI'04, pp. 9-12.
6. R. Salavador, A. Peña, D. Menon, T. Carpenter, J. Pickard, and E. Bullmore, "Formal characterization and extension of the linearized diffusion tensor model," Hum. Brain Mapp., vol. 24, pp. 144-155, 2005.
7. L.-C. Chang, D. K. Jones, and C. Pierpaoli, "RESTORE: Robust estimation of tensors by outlier rejection," Magn. Res. Imag., vol. 53, no. 5, pp. 1088-1095, 2005.
8. J. Sijbers, A. J. den Dekker, P. Scheunders, and D. Van Dyck, "Maximum-likelihood estimation of rician distribution parameters," IEEE Trans. Med. Imag., vol. 17, no. 3, pp. 357-361, Jun. 1998.
9. Z. Wang, B. C. Vemuri, Y. Chen, and T. H. Mareei, "A constrained variational principle for direct estimation and smoothing of the diffusion tensor field from complex DWI," IEEE Trans. Med. Imag., vol. 23, no. 8, pp. 930-939, Aug. 2004.
10. S. Basu, T. Fletcher, and R. Whitaker, "Rician noise removal in diffusion tensor MRI," in Proc. MICCAI'06, ser. LNCS 4190, M. Nielson and J. Sporring, Eds. New York: Springer-Verlag, Oct. 2006, vol. 4190, pp. 117-125.
11. O. Coulon, D. Alexander, and S. Arridge, "Diffusion tensor magnetic resonance image regularization," Med. Image Anal., vol. 8, no. 1, pp. 47-67, Mar. 2004.
12. C. Chefd'hotel, D. Tschumperlé, R. Deriche, and O. Faugeras, "Constrained flows of matrix-valued functions: Application to diffusion tensor regularization," in Proc. ECCV'02, 2002, ser. LNCS 2350, pp. 251-265.
13. X. Pennec, P. Fillard, and N. Ayache, "A Riemannian framework for tensor computing," Int. J. Comput. Vision, vol. 66, no. 1, pp. 41-66, Jan. 2006.
14. V. Arsigny, P. Fillard, X. Pennec, and N. Ayache, "Log-Euclidean metrics for fast and simple calculus on diffusion tensors," Magn. Reson. Med., vol. 56, no. 2, pp. 411-421, Aug. 2006.
15. C. Lenglet, M. Rousson, and R. Deriche, "Statistics on the manifold of multivariate normal distributions: Theory and application to diffusion tensor MRI processing," J. Math. Image. Vis., vol. 25, no. 3, pp. 423-444, Oct. 2006.
16. P. Fletcher and S. Joshi, "Principal geodesic analysis on symmetric spaces: Statistics of diffusion tensors," in Proc. CVAMIA MMBIA, 2004, ser. LNCS 3117, pp. 87-98.
17. P. Batchelor, M. Moakher, D. Atkinson, F. Calamante, and A. Connelly, "A rigorous framework for diffusion tensor calculus," Magn. Reson. Med., vol. 53, pp. 221-225, 2005.
18. A. W. Anderson, "Theoretical analysis of the effects of noise on diffusion tensor imaging," MRM, vol. 46, no. 6, pp. 1174-1188, Dec. 2001.
19. S. Skate, T. Li, B. Nordell, and M. Ingvar, "Noise considerations in the determination of diffusion tensor anisotropy," Magn. Reson. Imag., vol. 18, no. 6, pp. 659-669, Jul. 2000.
20. D. Facon, A. Ozanne, P. Fillard, J.-F. Lepeintre, C. Tournoux-Facon, and D. Ducreux, "MR diffusion tensor imaging and fiber tracking in spinal cord compression," Amer. J. Neuroradiol., vol. 26, pp. 1587-1594, Jun.-Jul. 2005.
21. P. Fillard and G. Gerig, "Analysis tool for diffusion tensor MRI," in Proc. MICCAI'03, vol. 2878, ser. LNCS 2878, no. 2, pp. 967-968.
22. M. Perrin, C. Poupon, Y. Cointepas, B. Rieul, N. Golestani, C. Pallier, D. Rivière, A. Constantinesco, D. L. Bihan, and J.-F. Mangin, "Fiber tracking in q-ball fields using regularized particle trajectories," in Proc. IPMI'05, ser. LNCS 3565, G. E. Christensen and M. Sonka, Eds. New York: Springer-Verlag, Jul. 2005, vol. 1, pp. 52-63.