Filtered multitensor tractography

IEEE Transactions on Medical Imaging

Volumn 29, Issue 9, 2010, Pages 1664-1675

  Malcolm, James G ^a   Shenton, Martha E ^a   Rathi, Yogesh ^a  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

Diffusion tensor estimation; diffusion weighted MRI; Kalman filtering; tractography

Indexed keywords

ANGULAR RESOLUTION; CURRENT ESTIMATES; DIFFUSION TENSOR; DIFFUSION-WEIGHTED MRI; DISCRETE MIXTURE; ESTIMATED MODEL; FIBER MODEL; FIBER TRACKING; IN-VIVO EXPERIMENTS; KALMAN-FILTERING; LOCAL MODEL; LOCAL STRUCTURE; RECURSIVE ESTIMATION; SEED POINT; SYNTHETIC EXPERIMENTS; TRACTOGRAPHY; UNSCENTED KALMAN FILTER;

DIFFUSION; ESTIMATION; FIBERS; KALMAN FILTERS; UNCERTAINTY ANALYSIS;

TENSORS;

ALGORITHM; ARTICLE; BRAIN; CORPUS CALLOSUM; DIFFUSION TENSOR IMAGING; HISTOLOGY; HUMAN; METHODOLOGY; NERVE FIBER; NORMAL DISTRIBUTION; PHYSIOLOGY; SIGNAL PROCESSING;

ALGORITHMS; BRAIN; CORPUS CALLOSUM; DIFFUSION TENSOR IMAGING; HUMANS; NERVE FIBERS; NORMAL DISTRIBUTION; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 77956219247     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2010.2048121     Document Type: Article

References (49)

1. D. C. Alexander, G. Barker, and S. Arridge, "Detection and modeling of non-Gaussian apparent diffusion coefficient profiles in human brain data," Magn. Reson. Med., vol.48, pp. 331-340, 2002.
2. L. Frank, "Characterization of anisotropy in high angular resolution diffusion-weighted MRI," Magn. Reson. Med., vol.47, pp. 1083-1099, 2002.
3. A. Alexander, K. Hasan, J. Tsuruda, and D. Parker, "Analysis of partial volume effects in diffusion-tensor MRI," Magn. Reson. Med., vol.45, pp. 770-780, 2001.
4. D. Tuch, T. Reese, M. Wiegell, N. Makris, J. Belliveau, and V. Wedeen, "High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity," Magn. Reson. Med., vol.48, pp. 577-582, 2002.
5. G. Parker and D. C. Alexander, "Probabilistic anatomical connectivity derived from the microscopic persistent angular structure of cerebral tissue," Phil. Trans. R. Soc. B, vol.360, pp. 893-902, 2005.
6. B. Kreher, J. Schneider, I. Mader, E. Martin, J. Hennig, and K. Il'yasov, "Multitensor approach for analysis and tracking of complex fiber configurations," Magn. Reson. Med., vol.54, pp. 1216-1225, 2005.
7. S. Peled, O. Friman, F. Jolesz, and C.-F. Westin, "Geometrically constrained two-tensor model for crossing tracts in DWI," Magn. Reson. Med., vol.24, no.9, pp. 1263-1270, 2006.
8. T. McGraw, B. Vemuri, B. Yezierski, and T. Mareci, "Von Mises-Fisher mixture model of the diffusion ODF," in Int. Symp. Biomed. Imag., 2006, pp. 65-68.
9. E. Kaden, T. Knøsche, and A. Anwander, "Parametric spherical deconvolution: Inferring anatomical connectivity using diffusion MR imaging," NeuroImage, vol.37, pp. 474-488, 2007.
10. Y. Rathi, O. Michailovich, M. E. Shenton, and S. Bouix, "Directional functions for orientation distribution estimation," Med. Image Anal., vol.13, pp. 432-444, 2009.
11. T. Behrens, H. Johansen-Berg, S. Jbabdi, M. Rushworth, and M. Wool-rich, "Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?," NeuroImage, vol.34, pp. 144-155, 2007.
12. M. D. King, D. G. Gadian, and C. A. Clark, "A random effects modelling approach to the crossing-fibre problem in tractography," Neu-roImage, vol.44, pp. 753-768, 2009.
13. D. Tuch, "Q-ball imaging," Magn. Reson. Med., vol.52, pp. 1358-1372, 2004.
14. A. Anderson, "Measurement of fiber orientation distributions using high angular resolution diffusion imaging," Magn. Reson. Med., vol.54, no.5, pp. 1194-1206, 2005.
15. C. Hess, P. Mukherjee, E. Han, D. Xu, and D. Vigneron, "Q-ball reconstruction of multimodal fiber orientations using the spherical harmonic basis," Magn. Reson. Med., vol.56, pp. 104-117, 2006.
16. M. Descoteaux, E. Angelino, S. Fitzgibbons, and R. Deriche, "Regularized, fast, and robust analytical Q-ball imaging," Magn. Reson. Med., vol.58, pp. 497-510, 2007. (Pubitemid 350154960)
17. C. Poupon, A. Roche, J. Dubois, J.-F. Mangin, and F. Poupon, "Realtime MR diffusion tensor and Q-ball imaging using Kalman filtering," Med. Image Anal., vol.12, no.5, pp. 527-534, 2008.
18. B. Jian and B. Vemuri, "A unified computational framework for decon-volution to reconstruct multiple fibers from diffusion weighted MRI," IEEE Trans. Med. Imag., vol.26, no.11, pp. 1464-1471, Nov. 2007.
19. K. Jansons and D. C. Alexander, "Persistent angular structure: New insights from diffusion MRI data," Inverse Problems, vol.19, pp. 1031-1046, 2003.
20. J.-D. Tournier, F. Calamante, D. Gadian, and A. Connelly, "Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution," NeuroImage, vol.23, pp. 1176-1185, 2004.
21. R. Kumar, A. Barmpoutis, B. C. Vemuri, P. R. Carney, and T. H. Mareci, "Multi-fiber reconstruction from DW-MRI using a continuous mixture of von Mises-Fisher distributions," in Math. Methods Biomed. Image Anal. (MMBIA), 2008, pp. 1-8.
22. E. Özarslan, T. Shepherd, B. Vemuri, S. Blackband, and T. Mareci, "Resolution of complex tissue microarchitecture using the diffusion orientation transform," NeuroImage, vol.31, no.3, pp. 1086-1103, 2006.
23. D. C. Alexander, "Multiple-fiber reconstruction algorithms for diffusion MRI," Ann. NY Acad. Sci., vol.1046, no.1, pp. 113-133, 2005.
24. M. Descoteaux, R. Deriche, T. Knoesche, and A. Anwander, "Deterministic and probabilistic tractography based on complex fiber orientation distributions," IEEE Trans. Med. Imag., vol.28, no.2, pp. 269-286, Feb. 2009.
25. P. Basser, S. Pajevic, C. Pierpaoli, J. Duda, and A. Aldroubi, "In vivo fiber tractography using DT-MRI data," Magn. Reson. Med., vol.44, pp. 625-632, 2000.
26. P. Hagmann, T. Reese, W.-Y. Tseng, R. Meuli, J.-P. Thiran, and V. J. Wedeen, "Diffusion spectrum imaging tractography in complex cerebral white matter: An investigation of the centrum semiovale," in Int. Symp. Magn. Reson. Med. (ISMRM), 2004, p. 623.
27. W. Guo, Q. Zeng, Y. Chen, and Y. Liu, "Using multiple tensor deflection to reconstruct white matter fiber traces with branching," in Int. Symp. Biomed. Imag., 2006, pp. 69-72.
28. C. Gössl, L. Fahrmeir, B. Putz, L. Auer, and D. Auer, "Fiber tracking from DTI using linear state space models: Detectability of the pyramidal tract," NeuroImage, vol.16, pp. 378-388, 2002.
29. M. Björnemo, A. Brun, R. Kikinis, and C.-F. Westin, "Regularized stochastic white matter tractography using diffusion tensor MRI," in Med. Image Comput. Computer Assist. Intervent. (MICCAI), 2002, pp. 435-442.
30. F. Zhang, E. Hancock, C. Goodlett, and G. Gerig, "Probabilistic white matter fiber tracking using particle filtering and von Mises-Fisher sampling," Med. Image Anal., vol.13, pp. 5-18, 2009.
31. L. Zhukov and A. Barr, "Oriented tensor reconstruction: Tracing neural pathways from diffusion tensor MRI," Visualization 2002, pp. 387-394.
32. G. Parker and D. C. Alexander, "Probabilistic Monte Carlo based mapping of cerebral connections utilizing whole-brain crossing fiber information," in Inf. Process. Med. Imag. (IPMI), 2003, pp. 684-696. (Pubitemid 36910511)
33. T. Hosey, G. Williams, and R. Ansorge, "Inferenceof multiple fiber orientations in high angular resolution diffusion imaging," Magn. Reson. Med., vol.54, pp. 1480-1489, 2005.
34. Y. Iturria-Medina, E. J. Canales-Rodríguez, L. Melie-García, P. A. Valdés-Hernández, E. Martńez-Montes, Y. Alemán-Gómez, and J. M. Sánchez-Bornot, "Characterizing brain anatomical connections using diffusion weighted MRI and graph theory," NeuroImage, vol.36, pp. 645-660, 2007.
35. P. Fillard, C. Poupon, and J.-F. Mangin, "A novel global tractography algorithm based on an adaptive spin glass model," in Med. Image Computing Computer Assist. Intervent. (MICCAI), 2009, pp. 927-934.
36. S. Jbabdi, M. Woolrich, J. Andersson, and T. Behrens, "A bayesian framework for global tractography," NeuroImage, vol.37, pp. 116-129, 2007.
37. B. Kreher, I. Madeer, and V. Kiselev, "Gibbs tracking: A novel approach for the reconstruction of neuronal pathways," Magn. Reson. Med., vol.60, pp. 953-963, 2008.
38. W. Zhan and Y. Yang, "How accurately can the diffusion profiles indicate multiple fiber orientations? A study on general fiber crossings in diffusion MRI," J. Magn. Reson., vol.183, pp. 193-202, 2006.
39. K. Seunarine, P. Cook, M. Hall, K. Embleton, G. Parker, and D. C. Alexander, "Exploiting peak anisotropy for tracking through complex structures," in Math. Methods Biomed. Image Anal. (MMBIA), 2007, pp. 1-8.
40. B. Jian, B. Vemuri, E. Özarslan, P. R. Carney, and T. H. Mareci, "A novel tensor distribution model for the diffusion-weighted MR signal," NeuroImage, vol.37, no.1, pp. 164-176, 2007. (Pubitemid 47071886)
41. T. Schultz and H. Seidel, "Estimating crossing fibers: A tensor decomposition approach," IEEE Trans. Vis. Comput. Graphics, vol.14, no.6, pp. 1635-1642, Nov./Dec. 2008.
42. O. Friman, G. Farnebäck, and C.-F. Westin, "A Bayesian approach for stochastic white matter tractography," IEEE Trans. Med. Imag., vol.25, no.8, pp. 965-978, Aug. 2006.
43. S. Julier and J. Uhlmann, "Unscented filtering and nonlinear estimation," IEEE Rev., vol.92, no.3, pp. 401-422, Mar. 2004.
44. R. van der Merwe and E. Wan, "Sigma-point Kalman filters for probabilistic inference in dynamic state-space models," in Workshop on Advances in Machine Learning, 2003.
45. J. G. Malcolm, M. E. Shenton, and Y. Rathi, "Neural tractography using an unscented Kalman filter," in Inf. Process. Med. Imag. (IPMI), 2009, pp. 126-138.
46. J.-D. Tournier, F. Calamante, and A. Connelly, "Robust determination of the fibre orientation distribution in diffusion MRI: Non-negativity constrained super-resolved spherical deconvolution," NeuroImage, vol.35, pp. 1459-1472, 2007.
47. J. G. Malcolm, M. E. Shenton, and Y. Rathi, "Two-tensor tractography using a constrained filter," in Med. Image Computing Computer Assist. Intervent. (MICCAI), 2009, pp. 894-902.
48. O. Bergmann, G. Kindlmann, A. Lundervold, and C.-F. Westin, "Diffusion k-tensor estimation from Q-Ball imaging using discretized principal axes," in Med. Image Computing Computer Assist. Intervent. (MICCAI), 2006, pp. 268-275.
49. A. Anwander, M. Descoteaux, and R. Deriche, "Probabilistic Q-Ball tractography solves crossings of the callosal fibers," Human Brain Mapp., p. 342, 2007.