Discretizing stochastic tractography: A fast implementation

2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings

Volumn , Issue , 2010, Pages 1381-1384

  Iglesias, Juan Eugenio ^a   Thompson, Paul ^a   Liu, Cheng Yi ^a   Tu, Zhuowen ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Fast; HARDI; Stochastic; Tractography

Indexed keywords

BRAIN REGIONS; CONNECTIVITY INFORMATION; DETERMINISTIC METHODS; FAST IMPLEMENTATION; MARKOV CHAIN; RANDOM WALK; SAMPLING PARTICLES; STATISTICAL SAMPLING; STOCHASTIC ALGORITHMS; TRACTOGRAPHY;

MARKOV PROCESSES; MEDICAL IMAGING; SAMPLING;

STOCHASTIC SYSTEMS;

EID: 77955189621     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2010.5490255     Document Type: Conference Paper

References (13)

1. P.J. Basser, J. Mattiello, D. LeBihan, et al., "Estimation of the Effective Self-Diffusion Tensor from the NMR Spin Echo," J. Magn. Reson., Ser. B, vol. 103, pp. 247-247, 1994.
2. C. Pierpaoli, P. Jezzard, PJ Basser, A. Barnett, and G. Di Chiro, "Diffusion tensor MR imaging of the human brain," Radiology, vol. 201, no. 3, pp. 637-648, 1996.
3. DS Tuch, RM Weisskoff, JW Belliveau, and VJ Wedeen, "High angular resolution diffusion imaging of the human brain," in ISMRM conf. proc., 1999, p. 321.
4. D.S. Tuch, "Q-Ball Imaging," Magn. Reson. Med., vol. 52, no. 6, pp. 1358-1372, 2004.
5. M. Perrin, C. Poupon, Y. Cointepas, B. Rieul, N. Golestani, C. Pallier, D. Riviere, A. Constantinesco, D. Le Bihan, and JF Mangin, "Fiber tracking in q-ball fields using regularized particle trajectories," in Lect. Notes Comput. Sci. (IPMI), 2005, vol. 3565, pp. 52-63.
6. N. Fout, J. Huang, and Z. Ding, "Visualization of neuronal fiber connections from DT-MRI with global optimization," in ACM Symp. Appl. Comput. conf. proc., 2005, pp. 1200-1206.
7. D. Merhof, M. Richter, F. Enders, P. Hastreiter, O. Ganslandt, M. Buchfelder, C. Nimsky, and G. Greiner, "Fast and accurate connectivity analysis between functional regions based on dt-mri," in Lect. Notes Comput. Sci. (MICCAI), 2006, vol. 4191, pp. 225-233.
8. Y. Iturria-Medina, EJ Canales-Rodriguez, L. Melie-Garcia, PA Valdes-Hernandez, E. Martinez-Montes, Y. Aleman-Gomez, and JM Sanchez-Bornot, "Characterizing brain anatomical connections using diffusion weighted MRI and graph theory," Neuroimage, vol. 36, no. 3, pp. 645-660, 2007.
9. S.N. Sotiropoulos, L. Bai, and C.R. Tench, "Fuzzy anatomical connectedness of the brain using single and multiple fibre orientations estimated from diffusion mri," Comput. Med. Imaging and Graphics (in press), 2009.
10. S.M. Smith, "Fast robust automated brain extraction," Hum. Brain Mapping, vol. 17, no. 3, pp. 143-155, 2002.
11. M. Descoteaux, R. Deriche, T.R. Knosche, and A. Anwander, "Deterministic and Probabilistic Tractography Based on Complex Fibre Orientation Distributions," IEEE Trans. Med. Imaging, vol. 28, no. 2, pp. 269-286, 2009.
12. M. Descoteaux, E. Angelino, S. Fitzgibbons, and R. Deriche, "Regularized, fast, and robust analytical Q-ball imaging," Magn. Reson. Med., vol. 58, no. 3, pp. 497-510, 2007. (Pubitemid 350154960)
13. B. Jian and BC Vemuri, "A unified computational framework for deconvolution to reconstruct multiple fibers from diffusion weighted MRI," IEEE Trans. Med. Imaging, vol. 26, no. 11, pp. 1464-1471, 2007.