Rotation invariant completion fields for mapping diffusion MRI connectivity

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

Volumn 6801 LNCS, Issue , 2011, Pages 711-722

  MomayyezSiahkal, Parya ^a   Siddiqi, Kaleem ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

Completion fields; Connectivity; Diffusion MRI; Fokker Planck equation; Spherical harmonics

Indexed keywords

3D ORIENTATION; 3D ROTATION; COMPLETION FIELD; CONNECTIVITY; CONNECTIVITY INDICES; RANDOM WALK; ROTATION INVARIANCE; ROTATION INVARIANT; SPHERICAL HARMONICS; SPINAL CHORD; SYNTHETIC DATA; TRACTOGRAPHY;

BIOLOGY; DATA PROCESSING; FOKKER PLANCK EQUATION; HARMONIC ANALYSIS; HARMONIC FUNCTIONS; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; PARTIAL DIFFERENTIAL EQUATIONS; PROBABILITY DENSITY FUNCTION; RADIOLOGY; THREE DIMENSIONAL; TIMING JITTER;

ROTATION;

ALGORITHM; ANIMAL; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; DIFFUSION WEIGHTED IMAGING; HISTOLOGY; IMAGE ENHANCEMENT; IMAGE QUALITY; METHODOLOGY; RAT; REPRODUCIBILITY; ROTATION; SENSITIVITY AND SPECIFICITY; SPINAL CORD;

ALGORITHMS; ANIMALS; DIFFUSION MAGNETIC RESONANCE IMAGING; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; PHANTOMS, IMAGING; RATS; REPRODUCIBILITY OF RESULTS; ROTATION; SENSITIVITY AND SPECIFICITY; SPINAL CORD;

EID: 79959590826     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-22092-0_58     Document Type: Conference Paper

References (14)

1. Alexander, D.C., Barker, G.J., Arridge, S.R.: Detection and modeling of non-gaussian apparent diffusion coefficient profiles in human brain data. Mag. Reson. in Med. 48, 331-340 (2002)
2. Batchelor, P.G., Hill, D.L.G., Calamante, F., Atkinson, D.: Study of connectivity in the brain using the full diffusion tensor from MRI. In: Insana, M.F., Leahy, R.M. (eds.) IPMI 2001. LNCS, vol. 2082, pp. 121-133. Springer, Heidelberg (2001)
3. Berman, J.I., Chung, S., Mukherjee, P., Hess, C.P., Han, E.T., Henrya, R.G.: Probabilistic streamline Q-ball tractography using the residual bootstrap. NeuroImage 39, 215-222 (2008)
4. Campbell, J.S.W., Siddiqi, K., Rymar, V.V., Sadikot, A.F., Pike, G.B.: Flow-based fiber tracking with diffusion tensor and Q-ball data: validation and comparison to principal diffusion direction techniques. NeuroImage 27, 725-736 (2005)
5. Descoteaux, M., Angelino, E., Fitzgibbons, S., Deriche, R.: Regularized, fast, and robust analytical Q-ball imaging. Mag. Reson. in Med. 58, 497-510 (2007)
6. 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)
7. Fornberg, B., Merrill, D.: Comparison of finite difference and pseudo-spectral methods for convective flow over a sphere. Geoph. Res. Letters 24, 3245-3248 (1997)
8. Hageman, N.S., Toga, A.W., Narr, K.L., Shattuck, D.W.: A diffusion tensor imaging tractography algorithm based on Navier-Stokes fluid mechanics. IEEE Transactions on Medical Imaging 28(3), 348-360 (2009)
9. MomayyezSiahkal, P., Siddiqi, K.: Probabilistic anatomical connectivity using completion fields. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010. LNCS, vol. 6361, pp. 566-573. Springer, Heidelberg (2010)
10. 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 tensor-warped space. In: Dohi, T., Kikinis, R. (eds.) MICCAI 2002. LNCS, vol. 2488, pp. 459-466. Springer, Heidelberg (2002)
11. Pichon, E., Westin, C.-F., Tannenbaum, A.R.: A hamilton-jacobi-bellman approach to high angular resolution diffusion tractography. In: Duncan, J.S., Gerig, G. (eds.) MICCAI 2005. LNCS, vol. 3749, pp. 180-187. Springer, Heidelberg (2005)
12. 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. Mag. Reson. in Med. 60, 1276-1283 (2008)
13. Tournier, J.D., Yeh, C., Calamante, F., Cho, H., Connelly, A., Lin, P.: Resolving crossing fibres using constrained spherical deconvolution: validation using diffusion-weighted imaging phantom data. NeuroImage 41, 617-625 (2008)
14. Williams, L.R., Jacobs, D.W.: Stochastic completion fields: A neural model of illusory contour shape and salience. Neural Computation 9, 837-858 (1997)