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Skeletal Radiology

, Volume 38, Issue 1, pp 51–59 | Cite as

Diffusion tensor imaging and fiber tractography of the median nerve at 1.5T: optimization of b value

  • Gustav AndreisekEmail author
  • Lawrence M. White
  • Andrea Kassner
  • George Tomlinson
  • Marshall S. Sussman
Scientific Article

Abstract

Objective

The objective of this study was to systematically assess the optimal b value for diffusion tensor imaging and fiber tractography of the median nerve at 1.5 T.

Materials and methods

This is a prospective study which was carried out with institutional review board approval and written informed consent from the study subjects. Fifteen healthy volunteers (seven men, eight women; mean age, 31.2 years) underwent diffusion tensor imaging of the wrist. A single-shot spin-echo-based echo-planar imaging sequence (TR/TE, 7000/103 ms) was performed in each subject at eight different b values ranging from 325 to 1,550 s/mm2. Number and length of reconstructed fiber tracts, fiber density index (FDi), fractional anisotropy (FA), and apparent diffusion coefficient (ADC) were calculated for the median nerve. Signal-to-noise ratio (SNR) was also calculated for each acquisition. The overall image quality was assessed by two readers in consensus by ranking representative fiber tract images for each subject using a scale range from 1 to 8 (1 = best to 8 = worst image quality).

Results

Longest fibers were observed for b values between 675 and 1,025 s/mm2. Maximum FDi was found at b values of 1,025 s/mm2. FA was between 0.5 and 0.6 for all b values. ADC gradually decreased from 1.44 × 10−3 to 0.92 × 10−3 mm2/s with increasing b values. Maximum SNR ± standard deviation (175.4 ± 72.6) was observed at the lowest b value and decreased with increasing b values. SNR at b values of 1,025 s/mm2 was 48.5% of the maximum SNR. Optimal fiber tract image quality was found for b values of 1,025 s/mm2.

Conclusions

The optimal b value for diffusion tensor imaging and fiber tractography of the median nerve at 1.5 T was 1,025 s/mm2.

Keywords

MRI Diffusion tensor imaging Fiber tractography Median nerve 

Notes

Disclosure statements

Dr. Gustav Andreisek is supported by a grant from the Holcim Foundation for the Advancement of Scientific Research, Switzerland.

References

  1. 1.
    Kabakci N, Gurses B, Firat Z, Bayram A, Ulug AM, Kovanlikaya A, et al. Diffusion tensor imaging and tractography of median nerve: normative diffusion values. AJR Am J Roentgenol 2007; 189(4): 923–927.PubMedCrossRefGoogle Scholar
  2. 2.
    Skorpil M, Engstrom M, Nordell A. Diffusion-direction-dependent imaging: a novel MRI approach for peripheral nerve imaging. Magn Reson Imaging 2007; 25(3): 406–411.PubMedCrossRefGoogle Scholar
  3. 3.
    Tsuchiya K, Fujikawa A, Tateishi H, Nitatori T. Visualization of cervical nerve roots and their distal nerve fibers by diffusion-weighted scanning using parallel imaging. Acta Radiol 2006; 47(6): 599–602.PubMedCrossRefGoogle Scholar
  4. 4.
    Meek MF, Stenekes MW, Hoogduin HM, Nicolai JP. In vivo three-dimensional reconstruction of human median nerves by diffusion tensor imaging. Exp Neurol 2006; 198(2): 479–482.PubMedCrossRefGoogle Scholar
  5. 5.
    Hiltunen J, Suortti T, Arvela S, Seppa M, Joensuu R, Hari R. Diffusion tensor imaging and tractography of distal peripheral nerves at 3 T. Clin Neurophysiol 2005; 116(10): 2315–2323.PubMedCrossRefGoogle Scholar
  6. 6.
    Skorpil M, Karlsson M, Nordell A. Peripheral nerve diffusion tensor imaging. Magn Reson Imaging 2004; 22(5): 743–745.PubMedCrossRefGoogle Scholar
  7. 7.
    Nucifora PG, Verma R, Lee SK, Melhem ER. Diffusion-tensor MR imaging and tractography: exploring brain microstructure and connectivity. Radiology 2007; 245(2): 367–384.PubMedCrossRefGoogle Scholar
  8. 8.
    Mori S, Zhang J. Principles of diffusion tensor imaging and its applications to basic neuroscience research. Neuron 2006; 51(5): 527–539.PubMedCrossRefGoogle Scholar
  9. 9.
    Landman BA, Farrell JA, Jones CK, Smith SA, Prince JL, Mori S. Effects of diffusion weighting schemes on the reproducibility of DTI-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5 T. Neuroimage 2007; 36(4): 1123–1138.PubMedCrossRefGoogle Scholar
  10. 10.
    Mori S, van Zijl PC. Fiber tracking: principles and strategies—a technical review. NMR Biomed 2002; 15(7–8): 468–480.PubMedCrossRefGoogle Scholar
  11. 11.
    Jiang H, van Zijl PC, Kim J, Pearlson GD, Mori S. DtiStudio: resource program for diffusion tensor computation and fiber bundle tracking. Comput Methods Programs Biomed 2006; 81(2): 106–116.PubMedCrossRefGoogle Scholar
  12. 12.
    Lee SK, Kim DI, Kim J, Kim DJ, Kim HD, Kim DS, et al. Diffusion-tensor MR imaging and fiber tractography: a new method of describing aberrant fiber connections in developmental CNS anomalies. Radiographics 2005; 25(1): 53–65, discussion 66–58.PubMedCrossRefGoogle Scholar
  13. 13.
    Mori S, Barker PB. Diffusion magnetic resonance imaging: its principle and applications. Anat Rec 1999; 257(3): 102–109.PubMedCrossRefGoogle Scholar
  14. 14.
    Masutani Y, Aoki S, Abe O, Hayashi N, Otomo K. MR diffusion tensor imaging: recent advance and new techniques for diffusion tensor visualization. Eur J Radiol 2003; 46(1): 53–66.PubMedCrossRefGoogle Scholar
  15. 15.
    Roberts TP, Liu F, Kassner A, Mori S, Guha A. Fiber density index correlates with reduced fractional anisotropy in white matter of patients with glioblastoma. AJNR Am J Neuroradiol 2005; 26(9): 2183–2186.PubMedGoogle Scholar
  16. 16.
    Henkelman RM. Measurement of signal intensities in the presence of noise in MR images. Med Phys 1985; 12(2): 232–233.PubMedCrossRefGoogle Scholar
  17. 17.
    Dietrich O, Heiland S, Sartor K. Noise correction for the exact determination of apparent diffusion coefficients at low SNR. Magn Reson Med 2001; 45(3): 448–453.PubMedCrossRefGoogle Scholar
  18. 18.
    Applegate KE, Tello R, Ying J. Hypothesis testing III: counts and medians. Radiology 2003; 228(3): 603–608.PubMedCrossRefGoogle Scholar
  19. 19.
    Efron B, Halloran E, Holmes S. Bootstrap confidence levels for phylogenetic trees. Proc Natl Acad Sci USA 1996; 93(23): 13429–13434.PubMedCrossRefGoogle Scholar
  20. 20.
    Efron B, Tibshirani RJ. An introduction to the bootstrap. London, UK: Chapman & Hall; 1993.CrossRefGoogle Scholar
  21. 21.
    Taoka T, Hirabayashi H, Nakagawa H, Sakamoto M, Myochin K, Hirohashi S, et al. Displacement of the facial nerve course by vestibular schwannoma: preoperative visualization using diffusion tensor tractography. J Magn Reson Imaging. 2006; 24(5): 1005–1010.PubMedCrossRefGoogle Scholar
  22. 22.
    Rossi C, Boss A, Lindig TM, Martirosian P, Steidle G, Maetzler W, et al. Diffusion tensor imaging of the spinal cord at 1.5 and 3.0 Tesla. Rofo 2007; 179(3): 219–224.PubMedCrossRefGoogle Scholar
  23. 23.
    Lansdown DA, Ding Z, Wadington M, Hornberger JL, Damon BM. Quantitative diffusion tensor MRI-based fiber tracking of human skeletal muscle. J Appl Physiol 2007; 103(2): 673–681.PubMedPubMedCentralCrossRefGoogle Scholar
  24. 24.
    Zaraiskaya T, Kumbhare D, Noseworthy MD. Diffusion tensor imaging in evaluation of human skeletal muscle injury. J Magn Reson Imaging 2006; 24(2): 402–408.PubMedCrossRefGoogle Scholar
  25. 25.
    Damon BM, Ding Z, Anderson AW, Freyer AS, Gore JC. Validation of diffusion tensor MRI-based muscle fiber tracking. Magn Reson Med 2002; 48(1): 97–104.PubMedCrossRefGoogle Scholar
  26. 26.
    Budzik JF, Le Thuc V, Demondion X, Morel M, Chechin D, Cotten A. In vivo MR tractography of thigh muscles using diffusion imaging: initial results. Eur Radiol 2007; 17(12): 3079–3085.PubMedCrossRefGoogle Scholar
  27. 27.
    Huang H, Zhang J, van Zijl PC, Mori S. Analysis of noise effects on DTI-based tractography using the brute-force and multi-ROI approach. Magn Reson Med 2004; 52(3): 559–565.PubMedCrossRefGoogle Scholar
  28. 28.
    Farrell JA, Landman BA, Jones CK, Smith SA, Prince JL, van Zijl PC, et al. Effects of signal-to-noise ratio on the accuracy and reproducibility of diffusion tensor imaging-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5 T. J Magn Reson Imaging 2007; 26(3): 756–767.PubMedPubMedCentralCrossRefGoogle Scholar
  29. 29.
    Chen B, Hsu EW. Noise removal in magnetic resonance diffusion tensor imaging. Magn Reson Med 2005; 54(2): 393–401.PubMedCrossRefGoogle Scholar
  30. 30.
    Bammer R, Acar B, Moseley ME. In vivo MR tractography using diffusion imaging. Eur J Radiol 2003; 45(3): 223–234.PubMedCrossRefGoogle Scholar
  31. 31.
    Bastin ME, Armitage PA, Marshall I. A theoretical study of the effect of experimental noise on the measurement of anisotropy in diffusion imaging. Magn Reson Imaging 1998; 16(7): 773–785.PubMedCrossRefGoogle Scholar
  32. 32.
    Gilbert G, Simard D, Beaudoin G. Impact of an improved combination of signals from array coils in diffusion tensor imaging. IEEE Trans Med Imaging 2007; 26(11): 1428–1436.PubMedCrossRefGoogle Scholar
  33. 33.
    Jaermann T, Crelier G, Pruessmann KP, Golay X, Netsch T, van Muiswinkel AM, et al. SENSE-DTI at 3 T. Magn Reson Med 2004; 51(2): 230–236.PubMedCrossRefGoogle Scholar
  34. 34.
    Staempfli P, Reischauer C, Jaermann T, Valavanis A, Kollias S, Boesiger P. Combining fMRI and DTI: A framework for exploring the limits of fMRI-guided DTI fiber tracking and for verifying DTI-based fiber tractography results. Neuroimage 2008; 39(1): 119–126.PubMedCrossRefGoogle Scholar

Copyright information

© ISS 2008

Authors and Affiliations

  • Gustav Andreisek
    • 1
    • 2
    Email author
  • Lawrence M. White
    • 1
  • Andrea Kassner
    • 3
  • George Tomlinson
    • 4
  • Marshall S. Sussman
    • 5
  1. 1.Division of Musculoskeletal Imaging, Department of Medical Imaging, Mount Sinai Hospital and the University Health NetworkUniversity of TorontoTorontoCanada
  2. 2.Institute of Diagnostic RadiologyUniversity Hospital ZürichZürichSwitzerland
  3. 3.Department of Medical Imaging, University Health NetworkUniversity of TorontoTorontoCanada
  4. 4.Division of Clinical Decision-Making & Health Care, Department of Public Health Sciences, University of TorontoToronto General HospitalTorontoCanada
  5. 5.Department of Medical Imaging, Toronto General HospitalUniversity of TorontoTorontoCanada

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