Fuzzy anatomical connectedness of the brain using single and multiple fibre orientations estimated from diffusion MRI

Computerized Medical Imaging and Graphics

Volumn 34, Issue 6, 2010, Pages 504-513

  Sotiropoulos, Stamatios N ^a   Bai, Li ^b   Tench, Christopher R ^a  

^a NOTTINGHAM UNIVERSITY HOSPITALS NHS TRUST   (United Kingdom)

^b UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

Distributed connectivity; DTI; Fibre crossing; ODF; Q ball; Tractography; White matter

Indexed keywords

DIFFUSION TENSOR; DIFFUSION-WEIGHTED MAGNETIC RESONANCE; FIBRE ORIENTATION; FUZZY ALGORITHMS; FUZZY CONNECTEDNESS; MULTIPLE ORIENTATIONS; TRACTOGRAPHY; WHITE MATTER;

ALGORITHMS; DIFFUSION; FUZZY SETS; MAGNETIC RESONANCE IMAGING; RESONANCE; TENSORS;

FIBERS;

ARTICLE; BRAIN REGION; DIFFUSION TENSOR IMAGING; DIFFUSION WEIGHTED IMAGING; FIBER; FUZZY SYSTEM; HUMAN; NEUROIMAGING; PRIORITY JOURNAL; Q BALL IMAGING; WHITE MATTER;

ALGORITHMS; BRAIN MAPPING; DIFFUSION MAGNETIC RESONANCE IMAGING; FUZZY LOGIC; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; NERVE FIBERS;

EID: 77954386208     PISSN: 08956111     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compmedimag.2009.08.006     Document Type: Article

References (46)

1. Basser P.J. Inferring microstructural features and the physiological state of tissues from diffusion-weighted images. NMR Biomed 1995, 8:333-344.
2. Turner R., Le Bihan D., Maier J., Vavrek R., Hedges L.K., Pekar J. Echo-planar imaging of intravoxel incoherent motion. Radiology 1990, 177:407-414.
3. Basser P.J., Pajevic S., Pierpaoli C., Duda J., Aldroubi A. In vivo fiber tractography using DT-MRI data. Magn Reson Med 2000, 44:625-632.
4. Catani M., Howard R.J., Pajevic S., Jones D.K. Virtual in vivo interactive dissection of white matter fasciculi in the human brain. Neuroimage 2002, 17:77-94.
5. 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 1999, 45:265-269.
6. Conturo T.E., Lori N.F., Cull T.S., Akbudak E., Snyder A.Z., Shimony J.S., et al. Tracking neuronal fiber pathways in the living human brain. Proc Natl Acad Sci USA 1999, 96:10422-10427.
7. Mori S., Wakana S., Van Zijl P.C., Nagae-Poetscher L.M. MRI atlas of human white matter 2005, Elsevier.
8. Udupa J.K., Saha P.K. Fuzzy connectedness and image segmentation. Proc IEEE 2003, 91:1649-1669.
9. Awate S.P., Zhang H., Gee J.C. A fuzzy, nonparametric segmentation framework for DTI and MRI analysis: with applications to DTI-tract extraction. IEEE Trans Med Imaging 2007, 26:1525-1536.
10. Parker G.J., Haroon H.A., Wheeler-Kingshott C.A. A framework for a streamline-based probabilistic index of connectivity (PICo) using a structural interpretation of MRI diffusion measurements. J Magn Reson Imaging 2003, 18:242-254.
11. Behrens T.E., Woolrich M.W., Jenkinson M., Johansen-Berg H., Nunes R.G., Clare S., et al. Characterization and propagation of uncertainty in diffusion-weighted MR imaging. Magn Reson Med 2003, 50:1077-1088.
12. Hagmann P., Thiran J.P., Jonasson L., Vandergheynst P., Clarke S., Maeder P., et al. DTI mapping of human brain connectivity: statistical fibre tracking and virtual dissection. Neuroimage 2003, 19:545-554.
13. Jones D.K., Pierpaoli C. Confidence mapping in diffusion tensor magnetic resonance imaging tractography using a bootstrap approach. Magn Reson Med 2005, 53:1143-1149.
14. 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 2007, 34:144-155.
15. Friman O., Farneback G., Westin C.F. A Bayesian approach for stochastic white matter tractography. IEEE Trans Med Imaging 2006, 25:965-978.
16. Bjornemo M., Brun A., Kikinis R., Westin C.-F. Regularized stochastic white matter tractography using diffusion tensor MRI. Proceedings of the international conference on medical image computing and computer-assisted intervention (MICCAI) 2002, 435-442.
17. Behrens T.E.J., Jbabdi S. MR diffusion tractography. Diffusion MRI: from quantitative measurement to in vivo neuroanatomy 2009, 333-351. Elsevier. H. Johansen-Berg, T.E. Behrens (Eds.).
18. Campbell J.S., 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 2005, 27:725-736.
19. Parker G.J., Wheeler-Kingshott C.A., Barker G.J. Estimating distributed anatomical connectivity using fast marching methods and diffusion tensor imaging. IEEE Trans Med Imaging 2002, 21:505-512.
20. Staempfli P., Jaermann T., Crelier G.R., Kollias S., Valavanis A., Boesiger P. Resolving fiber crossing using advanced fast marching tractography based on diffusion tensor imaging. Neuroimage 2006, 30:110-120.
21. Tournier J.D., Calamante F., Gadian D.G., Connelly A. Diffusion-weighted magnetic resonance imaging fibre tracking using a front evolution algorithm. Neuroimage 2003, 20:276-288.
22. Jackowski M., Kao C.Y., Qiu M., Constable R.T., Staib L.H. White matter tractography by anisotropic wavefront evolution and diffusion tensor imaging. Med Image Anal 2005, 9:427-440.
23. Iturria-Medina Y., Canales-Rodriguez E.J., Melie-Garcia L., Valdes-Hernandez P.A., Martinez-Montes E., Aleman-Gomez Y., et al. Characterizing brain anatomical connections using diffusion weighted MRI and graph theory. Neuroimage 2007, 36:645-660.
24. Zalesky A. DT-MRI fiber tracking: a shortest paths approach. IEEE Trans Med Imaging 2008, 27:1458-1471.
25. Udupa J.K., Samarasekera S. Fuzzy connectedness and object definition: theory, algorithms, and applications in image segmentation. Graph Models Image Process 1996, 58:246-261.
26. Sotiropoulos SN, Tench CR, Bai L. In-vivo brain anatomical connectivity using diffusion magnetic resonance imaging and fuzzy connectedness. In: IEEE International Conference on BioInformatics and BioEngineering (BIBE). Athens, Greece, 2008. p. 1-8.
27. Sotiropoulos SN, Tench CR, Bai L. Fuzzy Anatomical Connectedness using Diffusion MRI: An Approach to Tractography of the Brain. In: ISMRM Meeting, Toronto, Canada, 2008. p. 1846.
28. Pierpaoli C., Jezzard P., Basser P.J., Barnett A., Di Chiro G. Diffusion tensor MR imaging of the human brain. Radiology 1996, 201:637-648.
29. Tuch D.S. Q-ball imaging. Magn Reson Med 2004, 52:1358-1372.
30. Nyul L.G., Falcao A.X., Udupa J.K. Fuzzy-connected 3D image segmentation at interactive speeds. Graph Models 2003, 64:259-281.
31. Poupon C., Clark C.A., Frouin V., Regis J., Bloch I., Le Bihan D., et al. Regularization of diffusion-based direction maps for the tracking of brain white matter fascicles. Neuroimage 2000, 12:184-195.
32. Kingsley P.B. Introduction to diffusion tensor imaging mathematics. Part III. Tensor calculation, noise, simulations, and optimization. Concepts Magnet Reson A 2006, 28A:155-179.
33. Cook P.A., Symms M., Boulby P.A., Alexander D.C. Optimal acquisition orders of diffusion-weighted MRI measurements. J Magn Reson Imaging 2007, 25:1051-1058.
34. Hess C.P., Mukherjee P., Han E.T., Xu D., Vigneron D.B. Q-ball reconstruction of multimodal fiber orientations using the spherical harmonic basis. Magn Reson Med 2006, 56:104-117.
35. Cook P.A., Bai Y., Nedjati-Gilani S., Seunarine K.K., Hall M.G., Parker G.J., et al. Camino: open-source diffusion-MRI reconstruction and processing. ISMRM Meeting 2006, 2759.
36. Smith S.M., Jenkinson M., Woolrich M.W., Beckmann C.F., Behrens T.E., Johansen-Berg H., et al. Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 2004, 23(Suppl. 1):S208-S219.
37. Parker G.J., Alexander D.C. Probabilistic Monte Carlo based mapping of cerebral connections utilising whole-brain crossing fibre information. Inf Process Med Imaging 2003, 18:684-695.
38. Sotiropoulos S.N., Bai L., Morgan P.S., Auer D.P., Constantinescu C.S., Tench C.R. A regularized two-tensor model fit to low angular resolution diffusion images using basis directions. J Magn Reson Imaging 2008, 28:199-209.
39. Tournier J.D., Calamante F., Gadian D.G., Connelly A. Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution. Neuroimage 2004, 23:1176-1185.
40. Jansons K.M., Alexander D.C. Persistent angular structure: new insights from diffusion magnetic resonance imaging data. Inverse Probl 2003, 19:1031-1046.
41. Wedeen V.J., Hagmann P., Tseng W.Y., Reese T.G., Weisskoff R.M. Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging. Magn Reson Med 2005, 54:1377-1386.
42. Sotiropoulos S.N., Tench C.R., Morgan P.S., Bai L. Robust graph-based tracking through crossing fibre configurations. IEEE International Symposium on Biomedical Imaging (ISBI) 2009, 1394-1397.
43. Haroon H.A., Morris D.M., Embleton K.V., Alexander D.C., Parker G.J. Using the model-based residual bootstrap to quantify uncertainty in fiber orientations from Q-ball analysis. IEEE Trans Med Imaging 2009, 28:535-550.
44. Schultz T., Seidel H.P. Estimating crossing fibers: a tensor decomposition approach. IEEE Trans Vis Comput Graph 2008, 14:1635-1642.
45. Morris D.M., Embleton K.V., Parker G.J. Probabilistic fibre tracking: differentiation of connections from chance events. Neuroimage 2008, 42:1329-1339.
46. Saha P.K., Udupa J.K., Odhner D. Scale-based fuzzy connected image segmentation: theory, algorithms, and validation. Comput Vis Image Underst 2000, 77:145-174.