Probabilistic anatomical connectivity using completion fields

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

Volumn 6361 LNCS, Issue PART 1, 2010, Pages 566-573

  MomayyezSiahkal, Parya ^a   Siddiqi, Kaleem ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

3D stochastic completion field; Connectivity; Diffusion MRI; Tractography

Indexed keywords

COMPLETION FIELD; CONNECTIVITY; CONNECTIVITY INDICES; DIFFUSION MAGNETIC RESONANCE IMAGING; DIFFUSION OF WATER; DIFFUSION SIGNALS; NUMERICAL IMPLEMENTATION; PROBABILISTIC ESTIMATES; TRACTOGRAPHY;

DIFFUSION; MEDICAL COMPUTING; MEDICAL IMAGING; RESONANCE; SIGNAL SYSTEMS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; THREE DIMENSIONAL;

MAGNETIC RESONANCE IMAGING;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; CYTOLOGY; DIFFUSION WEIGHTED IMAGING; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MYELINATED NERVE; NERVE CELL NETWORK; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; ULTRASTRUCTURE;

ALGORITHMS; BRAIN; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NERVE FIBERS, MYELINATED; NERVE NET; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84879884142     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15705-9_69     Document Type: Conference Paper

References (12)

1. Poupon, C., Rieul, B., Kezele, I., Perrin, M., Poupon, F., Mangin, J.: New diffusion phantoms dedicated to the study and validation of high-angular-resolution diffusion imaging (HARDI) models. J. Magnetic Resonance in Medicine 60, 1276-1283 (2008)
2. Mori, S., Crain, B.J., Chacko, V.P., Zijl, P.C.M.: Three dimensional tracking of axonal projections in the brain by magnetic resonance imaging. Annals of Neurology 45, 265-269 (1999)
3. Behrens, T.E., Berg, H.J., Jbabdi, S., Rushworth, M.F., Woolrich, M.W.: Probabilistic diffusion tractography with multiple fibre orientations: what can we gain? Neuroimage 34, 144-155 (2007)
4. Parker, G.J.M., Wheeler-Kingshott, C.A.M., Barker, G.J.: Estimating distributed anatomical connectivity using fast marching methods and diffuson tensor imaging. IEEE Transaction on Medical Imaging 21, 505-512 (2002)
5. Berman, J.I., Chung, S., Mukherjee, P., Hess, C.P., Han, E.T., Henry, R.G.: Probabilistic streamline q-ball tractography using the residual bootstrap. NeuroImage 39, 215-222 (2008)
6. Yo, T.S., Anwander, A., Descoteaux, M., Fillard, P., Poupon, C., Knösche, T.R.: Quantifying brain connectivity: A comparative tractography study. In: Yang, G.- Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. LNCS, vol. 5761, pp. 886-893. Springer, Heidelberg (2009)
7. Fletcher, P.T., Tao, R., Jeong, W.K., Whitaker, R.T.: A volumetric approach to quantifying region-to-region white matter connectivity in diffusion tensor MRI. In: Karssemeijer, N., Lelieveldt, B. (eds.) IPMI 2007. LNCS, vol. 4584, pp. 346-358. Springer, Heidelberg (2007)
8. O'Donnell, L., Haker, S., Westin, C.F.: New approaches to estimation of white matter connectivity in diffusion tensor MRI: Elliptic PDEs and geodesics in a tensorwarped space. In: Dohi, T., Kikinis, R. (eds.) MICCAI 2002. LNCS, vol. 2488, pp. 459-466. Springer, Heidelberg (2002)
9. Batchelor, P.G., Hill, D.L.G., Atkinson, D., Calamante, F., Connelly, A.: Fibretracking by solving the diffusion-convection equation. In: Proceedings of Int. Soc. Mag. Reson. Med., Honolulu, vol. 10 (2002)
10. Momayyez, P., Siddiqi, K.: 3D stochastic completion fields for fiber tractography. In: IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA 2009), Miami Beach, pp. 178-185 (2009)
11. Williams, L., Jacobs., D.: Stochastic completion fields: A neural model of illusory contour shape and salience. Neural Computation 9, 837-858 (1997)
12. Anderson, A.W.: Measurement of fiber orientation distributions using high angular resolution diffusion imaging. J. Magnetic Resonance in Medicine 54, 1194-1206 (2005)