Tractography GoneWild: Probabilistic Fibre Tracking Using the Wild Bootstrap With Diffusion Tensor MRI

IEEE Transactions on Medical Imaging

Volumn 27, Issue 9, 2008, Pages 1268-1274

  Jones, Derek K ^a  

^a CARDIFF UNIVERSITY   (United Kingdom)

Author keywords

Bootstrap; diffusion tensor; probabilistic; tractography; wild bootstrap

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUDIOVISUAL EQUIPMENT; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NERVE TRACT; NUCLEAR MAGNETIC RESONANCE IMAGING; PYRAMIDAL TRACT; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, ANATOMIC; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NEURAL PATHWAYS; PATTERN RECOGNITION, AUTOMATED; PYRAMIDAL TRACTS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 54449097343     PISSN: 02780062     EISSN: 1558254X     Source Type: Journal    
DOI: 10.1109/TMI.2008.922191     Document Type: Article

References (45)

1. P. J. Basser, J. Mattiello, and D. LeBihan, “Estimation of the effective self-diffusion tensor from the NMR spin echo,” J. Magn. Reson., B, vol. 103, pp. 247–254, Mar. 1994.
2. P. J. Basser, J. Mattiello, and D. LeBihan, “Mr diffusion tensor spectroscopy and imaging,” Biophys. J., vol. 66, no. 1, pp. 259–267, Jan. 1994.
3. D. K. Jones, A. Simmons, S. C. R. Williams, and M. A. Horsfield, “Non-invasive assessment of structural connectivity in white matter by diffusion tensor MRI,” in Proc. ISMRM 6th Annu. Meeting, 1998, p. 531.
4. P. J. Basser, “Fiber-tractography via diffusion tensor MRI (DT-MRI),” in Proc. ISMRM 6th Annu. Meeting, 1998, p. 1226.
5. S. Mori, B. J. Crain, V. P. Chacko, and P. C. M. Van Zijl, “Threedimensional tracking of axonal projections in the brain by magnetic resonance imaging,” Ann. Neurol., vol. 45, no. 2, pp. 265–269, 1999.
6. T. E. Conturo, T. S. Lori, T. S. Cull, E. Akbudak, A. Z. Snyder, J. S. Shimony, R. C. McKinstry, H. Burton, and M. E. Raichle, “Tracking neuronal fiber pathways in the living human brain,” Proc. Nat. Acad. Sci., vol. 96, no. 18, pp. 10422–10427, Aug. 31, 1999.
7. C. Poupon, C. A. Clark, V. Frouin, J. Regis, I. Bloch, D. Le Bihan, and J. Mangin, “Regularization of diffusion-based direction maps for the tracking of brain white matter fasciculi,” NeuroImage, vol. 12, pp. 184–195, Aug. 2000.
8. P. Basser, S. Pajevic, C. Pierpaoli, J. Duda, and A. Aldroubi, “In vivo fiber tractography using DT-MRI data,” Magn. Reson. Med., vol. 44, no. 4, pp. 625–632, 2000.
9. D. S. Tuch, J. W. Belliveau, and V. J. Wedeen, “A path integral approach to white matter tractography,” in Proc. Int. Soc. Magn. Reson. Med., 2000, p. 791.
10. G. J. Parker, C. A. Wheeler-Kingshott, and G. J. Barker, “Estimating distributed anatomical connectivity using fast marching methods and diffusion tensor imaging,” IEEE Trans. Med. Imag., vol. 21, no. 5, pp. 505–512, May 2002.
11. M. Koch, V. Glauche, J. Finsterbusch, U. Nolte, J. Frahm, and C. Buchel, “Estimation of anatomical connectivity from diffusion tensor data,” NeuroImage, vol. 13, p. S176, Jun. 2001.
12. G. Parker, H. Haroon, and C. Wheeler-Kingshott, “A framework for a streamline-based probabilistic index of connectivity (pico) using a structural interpretation of MRI diffusion measurements,” J. Magn. Reson. Imag., vol. 18, no. 2, pp. 242–254, 2003.
13. T. E. J. Behrens, H. Johansen-Berg, M. W. Woolrich, S. M. Smith, C. A. M. Wheeler-Kingshott, P. A. Boulby, G. J. Barker, E. L. Sillery, K. Sheehan, O. Ciccarelli, A. J. Thompson, J. M. Brady, and P. M. Matthews, “Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging,” Nature Neurosci., vol. 6, no. 7, pp. 750–757, 2003.
14. M. Catani, R. J. Howard, S. Pajevic, and D. K. Jones, “Virtual in vivo interactive dissection of white matter fasciculi in the human brain,” NeuroImage, vol. 17, no. 1, pp. 77–94, Sep. 2002.
15. S. Mori, W. E. Kaufmann, C. Davatzikos, B. Stieltjes, L. Amodei, K. Fredericksen, G. D. Pearlson, M. Solaiiyappan, G. V. Raymond, H. W. Moser, and P. C. van Zijl, “Imaging cortical association tracts in the human brain using diffusion-tensor-based axonal tracking,” Magn. Reson. Med., vol. 47, pp. 215–223, 2002.
16. S. Mori, K. Fredericksen, P. C. M. van Zijl, B. Stieltjes, M. A. Kraut, M. Solaiyappan, and M. G. Pomper, “Brain white matter anatomy of tumor patients evaluated with diffusion tensor imaging,” Ann. Neurol., vol. 51, pp. 377–380, Mar. 2002.
17. D. K. Jones, M. Catani, C. Pierpaoli, S. J. C. Reeves, S. S. Shergill, M. O. Sullivan, P. Golesworthy, P. McGuire, M. A. Horsfield, A. Simmons, S. C. R. Williams, and R. J. Howard, “Age effects on diffusion tensor magnetic resonance imaging tractography measures of frontal cortex connections in schizophrenia,” Human Brain Mapp., vol. 27, pp. 230–238, 2006.
18. C. A. Clark, T. R. Barrick, M. M. Murphy, and B. A. Bell, “White matter fiber tracking in patients with space-occupying lesions of the brain: A new technique for neurosurgical planning?,” NeuroImage, vol. 20, pp. 1601–1608, Nov. 2003.
19. P. J. Basser, “Quantifying errors in fiber tract direction and diffusion tensor field maps resulting from MR noise,” in Proc. ISMRM 5th Annu. Meeting, 1997, pp. 1740–11740.
20. D. K. Jones, “Determining and visualizing uncertainty in estimates of fiber orientation from diffusion tensor MRI,” Magn. Reson. Med., vol. 49, pp. 7–12, 2003.
21. B. Efron, “Bootstrap methods: Another look at the jackknife,” Ann. Stat., vol. 7, pp. 1–16, 1979.
22. S. Pajevic and P. J. Basser, “Parametric and non-parametric statistical analysis of DT-MRI data,” J. Magn. Reson., vol. 161, pp. 1–14, Mar. 2003.
23. M. Lazar and A. L. Alexander, “Bootstrap white matter tractography (BOOT-TRAC),” NeuroImage, vol. 15, pp. 524–532, Jan., 2005.
24. D. K. Jones and C. Pierpaoli, “Confidence mapping in deterministic DT-MRI tractography,” Magn. Reson. Med., vol. 53, pp. 1143–1149, May 2005.
25. D. K. Jones, A. R. Travis, G. M. Eden, C. Pierpaoli, and P. J. Basser, “PASTA: Pointwise assessment of streamline tractography attributes,” Magn. Reson. Med., vol. 53, pp. 1462–1467, Jun. 2005.
26. S. Skare, M. Hedehus, M. E. Moseley, and T. Q. Li, “Condition number as a measure of noise performance of diffusion tensor data acquisition schemes with MRI,” J. Magn. Reson., vol. 147, pp. 340–352, Dec. 2000.
27. P. G. Batchelor, D. Atkinson, D. L. Hill, F. Calamante, and A. Connelly, “Anisotropic noise propagation in diffusion tensor MRI sampling schemes,” Magn. Reson. Med., vol. 49, pp. 1143–1151, Jun. 2003.
28. D. K. Jones, “The effect of gradient sampling schemes on measures derived from diffusion tensor MRI: A Monte Carlo study,” Magn. Reson. Med., vol. 51, pp. 807–815, Apr. 2004.
29. R. O’Gorman and D. K. Jones, “Just how much data need to be collected for reliable bootstrap DT-MRI?,” Magn. Reson. Med., vol. 56, pp. 884–890, Oct. 2006.
30. B. Whitcher, D. S. Tuch, and L. Wang, “The wild bootstrap to quantify variability in diffusion tensor MRI,” in Proc. ISMRM 13th Annu. Meeting, 2005, 2005, p. 1333.
31. R. Y. Liu, “Bootstrap procedure under some non-i.i.d. models,” Ann. Stat., vol. 16, pp. 1696–1708, Dec. 1988.
32. B. Whitcher, D. S. Tuch, J. J. Wisco, A. G. Sorensen, and L. Wang, “Using the wild bootstrap to quantify uncertainty in diffusion tensor imaging,” in Human Brain Mapp., Mar. 2008, vol. 29, no. 3, pp. 346–62.
33. D. K. Jones, “Tractography gone wild: Probabilistic tracking using the wild bootstrap,” in Proc. ISMRM 14th Annu. Meeting, 2006, p. 435.
34. D. K. Jones, M. A. Horsfield, and A. Simmons, “Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging,” Magn. Reson. Med., vol. 42, pp. 515–525, Sep. 1999.
35. C. Pierpaoli, S. Marenco, G. Rohde, D. K. Jones, and A. S. Barnett, “Analyzing the contribution of cardiac pulsation to the variability of quantities derived from the diffusion tensor,” in Proc. ISMRM 11th Annu. Meeting, 2003, p. 70.
36. G. K. Rohde, A. S. Barnett, P. J. Basser, S. Marenco, and C. Pierpaoli, “Comprehensive approach for correction of motion and distortion in diffusion weighted MRI,” Magn. Reson. Med., vol. 51, pp. 103–114, Jan. 2004.
37. S. Pajevic, A. Aldroubi, and P. J. Basser, “A continuous tensor field approximation of discrete DT-MRI data for extracting microstructural and architectural features of tissue,” J. Magn. Reson., vol. 154, pp. 85–100, Jan. 2002.
38. D. K. Jones, “Determining and visualizing uncertainty in estimates of fiber orientation from diffusion tensor MRI,” Magn. Reson. Med., vol. 49, pp. 7–12, Jan. 2003.
39. T. Delmarcelle and L. Hesselink, “Visualizing second-order tensor fields with hyperstreamlines,” IEEE Comput. Graph. Appl., vol. 13, pp. 25–33, Jul. 1993.
40. V. J. Wedeen, P. Hagmann, W. Y. Tseng, T. G. Reese, and R. M. Weisskoff, “Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging,” Magn. Reson. Med., vol. 54, pp. 1377–1386, Dec. 2005.
41. S. W. Chung, Y. Lu, and R. G. Henry, “Comparison of bootstrap approaches for estimation of uncertainties of DTI parameters,” NeuroImage, vol. 33, pp. 531–541, Nov. 2006.
42. G. J. M. Parker, private communication, 2006.
43. R. Shrager, D. K. Jones, S. Pajevic, P. Munson, and P. J. Basser, “When is a Gaussian displacement distribution adequate to describe water diffusion in tissues?,” in Proc ISMRM Workshop Diffusion MRI: Biophys. Issues, St. Malo, France, 2002, pp. 21–25.
44. G. J. Parker and D. C. Alexander, “Probabilistic monte carlo based mapping of cerebral connections utilizing whole-brain crossing fibre information,” Inf. Process Med. Imag., vol. 18, pp. 684–695, Jul. 2003.
45. C. Pierpaoli and D. K. Jones, “Removing CSF contamination in brain DT-MRIs by using a two-compartment tensor model,” in Proc. ISMRM 12th Annu. Meeting, 2004, p. 1215.