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Diffusion Tensor Imaging (DTI)

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Preclinical MRI

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1718))

Abstract

Diffusion Tensor Imaging is an MRI technique that allows in vivo noninvasive measurement of the translational motion of water, providing information about its anisotropy (or lack of it) in different tissues. DTI has been commonly used to quantitatively measure the integrity of tissues which may be compromised by neurological disease, such as white matter tracks of the brain, which normally impart significant anisotropy to water motion in healthy brains. However, this anisotropic effect is diminished when axonal or neuronal damage is present. This chapter describes a standard protocol for DTI data acquisition in preclinical studies.

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References

  1. Stejskal EO, Tanner JE (1965) Spin diffusion measurements: spin echoes in the presence of a time-dependent field gradient. J Chem Phys 42:288–292

    Article  CAS  Google Scholar 

  2. Le Bihan D, Breton E (1985) Imagerie de diffusion in vivo par resonance magnetique nucleaire. CR Acad Sci Paris 301:1109–1112

    Google Scholar 

  3. Merboldt KD, Hanicke W, Frahm J (1985) Self-diffusion NMR imaging using stimulated echoes. J Magn Reson Imaging 64:479–486

    CAS  Google Scholar 

  4. Taylor DG, Bushell MC (1985) The spatial mapping of translational diffusion coefficients by the NMR imaging technique. Phys Med Biol 30:345–349

    Article  CAS  PubMed  Google Scholar 

  5. Le Bihan D, Mangin JF, Poupon C, Clark CA, Pappata S, Molko N, Chabriat H (2001) Diffusion tensor imaging: concepts and applications. J Magn Reson Imaging 13:534–546

    Article  PubMed  Google Scholar 

  6. Moseley ME, Kucharczyk J, Mintorovitch J, Cohen Y, Kurhanewicz J, Derugin N, Asgari H, Norman D (1990) Diffusion-weighted MR imaging of acute stroke: correlation with T2-weighted and magnetic susceptibility-enhanced MR imaging in cats. Am J Neuroradiol 11:423–429

    CAS  PubMed  Google Scholar 

  7. Chenevert TL, McKeever PE, Ross BD (1997) Monitoring early response of experimental brain tumors to therapy using diffusion magnetic resonance imaging. Clin Cancer Res 3:1457–1466

    CAS  PubMed  Google Scholar 

  8. Dmytriw AA, Sawlani V, Shankar J (2017) Diffusion-weighted imaging of the brain: beyond stroke. Can Assoc Radiol J 68(2):131–146. https://doi.org/10.1016/j.carj.2016.10.001

    Article  PubMed  Google Scholar 

  9. Basser PJ, Mattiello J, Le Bihan D (1995) MR diffusion tensor spectroscopy and imaging. Biophys J 66:259–267

    Article  Google Scholar 

  10. Skare S, Hedehus M, Moseley ME, Li TQ (2000) Condition number as a measure of noise performance of diffusion tensor data acquisition schemes with MRI. J Magn Reson 147:340–352

    Article  CAS  PubMed  Google Scholar 

  11. Mattiello J, Basser PJ, Le Bihan D (1997) The b matrix in diffusion tensor echo-planar imaging. Magn Reson Med 37:292–300

    Article  CAS  PubMed  Google Scholar 

  12. Song SK, Sun SW, Ramsbottom MJ, Chang C, Russell J, Cross AH (2002) Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water. NeuroImage 17:1429–1436

    Article  PubMed  Google Scholar 

  13. Song SK, Yoshino J, Le TQ, Lin SJ, Sun SW, Cross AH, Armstrong RC (2005) Demyelination increases radial diffusivity in corpus callosum of mouse brain. NeuroImage 26:132–140

    Article  PubMed  Google Scholar 

  14. Conturo TE, Lori NF, Cull TS, Akbudak E, Snyder AZ, Shimony JS, McKinstry RC, Burton H, Raichle ME (1999) Tracking neuronal fiber pathways in the living human brain. Proc Natl Acad Sci 96:10422–10427

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Tournier JD, Mori S, Leemans A (2011) Diffusion tensor imaging and beyond. Magn Reson Med 65:1532–1556

    Article  PubMed  PubMed Central  Google Scholar 

  16. Lope-Piedrafita S, Totenhagen JW, Hicks CM, Erickson RP, Trouard TP (2008) MRI detects therapeutic effects in weanling Niemann-Pick type C mice. J Neurosci Res 86:2802–2807

    Article  CAS  PubMed  Google Scholar 

  17. Breu M, Zhang J, Porambo M, Pletnikov MV, Goeral K, Kakara M, Johnston MV, Fatemi A (2016) Diffusion tensor imaging abnormalities in the cerebral white matter correlate with sex-dependent neurobehavioral deficits in adult mice with neonatal ischemia. Dev Neurosci 38:83–95

    Article  CAS  PubMed  Google Scholar 

  18. Lope-Piedrafita S, Garcia-Martin ML, Galons JP, Gillies RJ, Trouard TP (2008) Longitudinal diffusion tensor imaging in a rat brain glioma model. NMR Biomed 21:799–808

    Article  PubMed  PubMed Central  Google Scholar 

  19. Gimenez U, Perles-Barbacaru AT, Millet A, Appaix F, El-Atifi M, Pernet-Gallay K, van der Sanden B, Berger F, Lahrech H (2016) Microscopic DTI accurately identifies early glioma cell migration: correlation with multimodal imaging in a new glioma stem cell model. NMR Biomed 29:1553–1562

    Article  CAS  PubMed  Google Scholar 

  20. Jiang H, van Zijl PC, Kim J, Pearlson GD, Mori S (2006) DtiStudio: resource program for diffusion tensor computation and fiber bundle tracking. Comput Methods Prog Biomed 81:106–116

    Article  Google Scholar 

  21. Jones DK, Horsfield MA, Simmons A (1999) Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging. Magn Reson Med 42:515–525

    Article  CAS  PubMed  Google Scholar 

  22. Alexander DC, Barker GJ (2005) Optimal imaging parameters for fiber-orientation estimation in diffusion MRI. NeuroImage 27:357–367

    Article  PubMed  Google Scholar 

  23. Mukherjee P, Chung SW, Berman JI, Hess CP, Henry RG (2008) Diffusion tensor MR imaging and fiber tractography: technical considerations. Am J Neuroradiol 29:843–852

    Article  CAS  PubMed  Google Scholar 

  24. Liu B, Zhu T, Zhong J (2015) Comparison of quality control software tools for diffusion tensor imaging. Magn Reson Imaging 33:276–285

    Article  PubMed  Google Scholar 

  25. Sarlls JE, Pierpaoli C (2009) In vivo diffusion tensor imaging of the human optic chiasm at sub-millimeter resolution. NeuroImage 47:1244–1251

    Article  PubMed  PubMed Central  Google Scholar 

  26. Totenhagen JW, Lope-Piedrafita S, Borbon IA, Yoshimaru ES, Erickson RP, Trouard TP (2012) In vivo assessment of neurodegeneration in Niemann-Pick type C mice by quantitative T2 mapping and diffusion tensor imaging. J Magn Reson Imaging 35:528–536

    Article  PubMed  Google Scholar 

  27. Pipe JG, Farthing VG, Forbes KP (2002) Multishot diffusion-weighted FSE using PROPELLER MRI. Magn Reson Med 47:42–52

    Article  PubMed  Google Scholar 

  28. Bammer R, Holdsworth SJ, Veldhuis WB, Skare ST (2009) New methods in diffusion-weighted and diffusion tensor imaging. Magn Reson Imaging Clin N Am 17:175–204

    Article  PubMed  PubMed Central  Google Scholar 

  29. Pu LL, Trouard TP, Ryan L, Huang C, Altbach MI, Bilgin A (2011) Model-based compressive diffusion tensor imaging. 8th IEEE Int Symp Biomed Imaging 1:254–257

    Google Scholar 

  30. Shi X, Ma X, Wu W, Huang F, Yuan C, Guo H (2015) Parallel imaging and compressed sensing combined framework for accelerating high-resolution diffusion tensor imaging using inter-image correlation. Magn Reson Med 73:1775–1785

    Article  PubMed  Google Scholar 

  31. Grütter R (1993) Automatic, localized in Vivo adjustment of all firstand second-order shim coils. Magn Reson Med 29:804–811

    Article  Google Scholar 

  32. Kanayama S, Kuhara S, Satoh K (1996) In vivo rapid magnetic field measurement and shimming using single scan differential phase mapping. Magn Reson Med 36:637–642

    Article  CAS  PubMed  Google Scholar 

  33. Hasan KM, Parker DL, Alexander AL (2001) Comparison of gradient encoding schemes for diffusion-tensor MRI. J Magn Reson Imaging 13:769–780

    Article  CAS  PubMed  Google Scholar 

  34. Jones DK (2004) The effect of gradient sampling schemes on measures derived from diffusion tensor MRI: a Monte Carlo study. Magn Reson Med 51:807–815

    Article  PubMed  Google Scholar 

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Acknowledgements

The author expresses its gratitude to Dr. Gary V. Martinez (Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA), who assisted in the proofreading of the chapter. Time allocated in the joint nuclear magnetic resonance facility of the Universitat Autònoma de Barcelona and Centro de Investigación Biomédica en Red-Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN) (Cerdanyola del Vallès, Spain) is gratefully acknowledged.

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Authors and Affiliations

  1. Servei de Ressonància Magnètica Nuclear, Universitat Autònoma de Barcelona, 08193, Cerdanyola del Vallès, Spain

    Silvia Lope-Piedrafita

  2. Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Universitat Autònoma de Barcelona, 08193, Cerdanyola del Vallès, Spain

    Silvia Lope-Piedrafita

Authors
  1. Silvia Lope-Piedrafita
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Correspondence to Silvia Lope-Piedrafita .

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Editors and Affiliations

  1. BIONAND, Andalusian Centre for Nanomedicine and Biotechnology, Junta de Andalucía, Universidad de Málaga, Málaga, Spain

    María Luisa García Martín

  2. Instituto de Investigaciones Biomédicas “Alberto Sols”, CSIC/UAM, Madrid, Spain

    Pilar López Larrubia

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Lope-Piedrafita, S. (2018). Diffusion Tensor Imaging (DTI). In: García Martín, M., López Larrubia, P. (eds) Preclinical MRI. Methods in Molecular Biology, vol 1718. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7531-0_7

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  • DOI: https://doi.org/10.1007/978-1-4939-7531-0_7

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-7530-3

  • Online ISBN: 978-1-4939-7531-0

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