Diffusion mri tractography of crossing fibers by cone-beam odf regularization

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

Volumn 5748 LNCS, Issue , 2009, Pages 412-421

  Ehricke, Hans Heino ^a   Otto, Kay M ^a   Kumar, Vinoid ^b   Klose, Uwe ^b  

^a UNIVERSITY OF APPLIED SCIENCES STRALSUND   (Germany)

^b UNIVERSITY HOSPITAL TÜBINGEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CONE BEAM; DOMINANT PATHWAYS; FIBER TRACKING; HIGH ANGULAR RESOLUTION DIFFUSION IMAGING; IN-DIFFUSION; PHANTOM STUDIES; REGULARIZATION APPROACH; SIGNAL TO NOISE; STRUCTURAL INFORMATION; TRACKING ALGORITHM; TRACTOGRAPHY;

CROSSINGS (PIPE AND CABLE); IMAGE SEGMENTATION; PATTERN RECOGNITION; SIGNAL TO NOISE RATIO;

DIFFUSION;

EID: 70350464366     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-03798-6_42     Document Type: Conference Paper

References (21)

1. Tuch, D.S.: Q-ball imaging. Magn. Reson. Med. 52(6), 1358-1372 (2004)
2. Parker, G.J.M., Haroon, H.A., Wheeler-Kingshott, C.A.M.: A framework for a streamline-based probabilistic index of connectivity (PICo) using a structural interpretation of mri diffusion measurements. J. Magn. Reson. Imaging 18(2), 242-254 (2003)
3. Lazar, M., Alexander, A.L.: Bootstrap white matter tractography (BOOT-TRAC). Neuroimage 24(2), 524-532 (2005)
4. Behrens, T.E.J., Berg, H.J., Jbabdi, S., Rushworth, M.F.S., Woolrich, M.W.: Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? Neuroimage 34(1), 144-155 (2007)
5. Zalesky, A.: DT-MRI fiber tracking: a shortest paths approach. IEEE Trans. Med. Imaging 27(10), 1458-1471 (2008)
6. Parker, G.J., Schnabel, J.A., Symms, M.R., Werring, D.J., Barker, G.J.: Nonlinear smoothing for reduction of systematic and random errors in diffusion tensor imaging. J. Magn. Reson. Imaging 11(6), 702-710 (2000)
7. Martin-Fernandez, M., Mu-noz-Moreno, E., Cammoun, L., Thiran, J.P., Westin, C.F., Alberola-López, C.: Sequential anisotropic multichannel wiener filtering with rician bias correction applied to 3d regularization of DWI data. Med. Image Anal. 13(1), 19-35 (2009)
8. Wang, Z., Vemuri, B.C., Chen, Y., Mareci, T.H.: A constrained variational principle for direct estimation and smoothing of the diffusion tensor field from complex DWI. IEEE Trans. Med. Imaging 23(8), 930-939 (2004)
9. Poupon, C., Clark, C.A., Frouin, V., Régis, J., Bloch, I., Bihan, D.L., Mangin, J.: Regularization of diffusion-based direction maps for the tracking of brain white matter fascicles. Neuroimage 12(2), 184-195 (2000)
10. Coulon, O., Alexander, D.C., Arridge, S.: Diffusion tensor magnetic resonance image regularization. Med. Image Anal. 8(1), 47-67 (2004)
11. Savadjiev, P., Campbell, J.S.W., Pike, G.B., Siddiqi, K.: 3D curve inference for diffusion MRI regularization. In: Int. Conf. on Med. Image Comput Assist Interv., vol. 8(Pt 1), pp. 123-130 (2005)
12. Jonasson, L., Bresson, X., Thiran, J.P., Wedeen, V.J., Hagmann, P.: Representing diffusion MRI in 5-D simplifies regularization and segmentation of white matter tracts. IEEE Trans. Med. Imaging 26(11), 1547-1554 (2007)
13. Descoteaux, M., Angelino, E., Fitzgibbons, S., Deriche, R.: Regularized, fast, and robust analytical q-ball imaging. Magn. Reson. Med. 58(3), 497-510 (2007)
14. Descoteaux, M., Deriche, R., Knósche, T.R., Anwander, A.: Deterministic and probabilistic tractography based on complex fibre orientation distributions. IEEE Trans. Med. Imaging 28(2), 269-286 (2009)
15. Perona, P., Malik, J.: Scale-space and edge detection using anisotropic diffusion. IEEE Transactions on Pattern Analysis and Machine Intelligence 12, 629-639 (1990)
16. Mori, S., Crain, B.J., Chacko, V.P., van Zijl, P.C.: Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging. Ann. Neurol. 45(2), 265-269 (1999)
17. Lazar, M., Weinstein, D.M., Tsuruda, J.S., Hasan, K.M., Arfanakis, K., Meyerand, M.E., Badie, B., Rowley, H.A., Haughton, V., Field, A., Alexander, A.L.: White matter tractography using diffusion tensor deflection. Hum. Brain Mapp. 18(4),306-321 (2003)
18. Ehricke, H.H., Klose, U., Grodd, W.: Visualizing MR diffusion tensor fields by dynamic fiber tracking and uncertainty mapping. Computers & Graphics 30(2), 255-264 (2006)
19. Behrens, T.E.J., Woolrich, M.W., Jenkinson, M., Johansen-Berg, H., Nunes, R.G., Clare, S., Matthews, P.M., Brady, J.M., Smith, S.M.: Characterization and propagation of uncertainty in diffusion-weighted MR imaging. Magn. Reson. Med. 50(5), 1077-1088 (2003)
20. Perrin, M., Poupon, C., Cointepas, Y., Rieul, B., Golestani, N., Pallier, C., Rivière, D., Constantinesco, A., Bihan, D.L., Mangin, J.F.: Fiber tracking in q-ball fields using regularized particle trajectories. Inf. Process Med. Imaging 19, 52-63 (2005)
21. 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(4), 725-736 (2005)