Simultaneous Diffusion and T1 Weighted Contrast Imaging for Human Brain Mapping

Document Type : Original Paper

Authors

1 Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA Medical Science School, Tarbiat Modares University, Tehran, Iran

2 Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA

Abstract

Introduction: Diffusion tensor imaging (DTI) is typically obtained by echo-planar imaging (EPI) to map the human brain. However, EPI is sensitive to susceptibility effects, requiring elaborate image post-processing. Besides, DTI alone is limited in assessing gray and white matter boundaries of the brain, which has important implications for obtaining accurate images from brain atrophy. This study aimed to design and evaluate simultaneous diffusion and T1 weighting high-resolution imaging for human brain mapping.
Material and Methods: The method of T1 weighted three-dimensional Magnetization-prepared rapid gradient-echo (T1w 3D MPRAGE), which is conventionally used for structural brain mapping of gray and white matter, was extended to incorporate diffusion encoding using simulation and experiment to develop high-resolution DTI and T1-weighted human brain data.
Results: Theoretical simulations, as well as experimental results from in-vivo human brain studies at 4 Tesla magnetic field strength, showed that the DTI contrast, including fractional anisotropy (FA) and mean diffusivity (MD), incorporated into T1w 3D MPRAGE improves the contrast between gray and white matter sub-structural boundaries. Moreover, diffusion encoding into 3D MPRAGE avoids the inherent image distortions typically seen in EPI-based DTI.
Conclusion: This study suggests the capability and effectiveness of the combined DTI weighted 3D MPRAGE and T1 weighted for improving the detection of gray/white matter boundaries in human brain imaging.

Keywords

Main Subjects

References

  1. Sexton CE, Kalu UG, Filippini N, Mackay CE, Ebmeier KP. A meta-analysis of diffusion tensor imaging in mild cognitive impairment and Alzheimer's disease. Neurobiology of aging. 2011 Dec 1;32(12):2322.e5-18.
  2. Henf J, Grothe MJ, Brueggen K, Teipel S, Dyrba M. Mean diffusivity in cortical gray matter in Alzheimer's disease: The importance of partial volume correction. NeuroImage: Clinical. 2018 Jan 1;17:579-86.
  3. Wang L, Goldstein FC, Veledar E, Levey AI, Lah JJ, Meltzer CC, et al. Alterations in cortical thickness and white matter integrity in mild cognitive impairment measured by whole-brain cortical thickness mapping and diffusion tensor imaging. American Journal of Neuroradiology. 2009 May 1;30(5):893-9.
  4. Basser PJ, Mattiello J, LeBihan D. Estimation of the effective self-diffusion tensor from the NMR spin echo. Journal of Magnetic Resonance, Series B. 1994 Mar 1;103(3):247-54.
  5. Basser PJ, Mattiello J, LeBihan D. MR diffusion tensor spectroscopy and imaging. Biophysical journal. 1994 Jan 1;66(1):259-67.
  6. Alexander AL, Lee JE, Lazar M, Field AS. Diffusion tensor imaging of the brain. Neurotherapeutics. 2007 Jul 1;4(3):316-29.
  7. Pierpaoli C, Jezzard P, Basser PJ, Barnett A, Di Chiro G. Diffusion tensor MR imaging of the human brain. Radiology. 1996 Dec;201(3):637-48.
  8. Yoshiura T, Wu O, Zaheer A, Reese TG, Sorensen AG. Highly diffusion‐sensitized MRI of brain: dissociation of gray and white matter. Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine. 2001 May;45(5):734-40.
  9. Studholme C. Dense feature deformation morphometry: Incorporating DTI data into conventional MRI morphometry. Medical image analysis. 2008 Dec 1;12(6):742-51.
  10. Taimouri V, Kurugol S, Clancy S, Freiman M, Warfield S K. Structural and diffusion weigted MRI registeration for biomarker fusion in Crohn’s disease diagnosis. 12th International proceedings IEEE. 2015;592-5.
  11. Numano T, Homma K, Hirose T. Diffusion-weighted three-dimensional MP-RAGE MR imaging. Magnetic resonance imaging. 2005 Apr 1;23(3):463-8.
  12. Numano T, Homma K, Iwasaki N, Hyodo K, Nitta N, Hirose T. In vivo isotropic 3D diffusion tensor mapping of the rat brain using diffusion-weighted 3D MP-RAGE MRI. Magnetic resonance imaging. 2006 Apr 1;24(3):287-93.
  13. Numano T, Homma K, Iwasaki N, Hyodo K, Nitta N. Fat-saturated Diffusion-weighted Imaging of the Rat Pelvis using Three-Dimensional MP-RAGE MR sequence. In 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2007 Aug 22; 2038-41. IEEE.
  14. Le Bihan D, Poupon C, Amadon A, Lethimonnier F. Artifacts and pitfalls in diffusion MRI. Journal of Magnetic Resonance Imaging: An Official Journal of the International Society for Magnetic Resonance in Medicine. 2006 Sep;24(3):478-88.
  15. Bhushan C, Haldar JP, Joshi AA, Leahy RM. Correcting susceptibility-induced distortion in diffusion-weighted MRI using constrained nonrigid registration. InProceedings of the 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference. 2012 Dec 3; 1-9. IEEE.
  16. Zaki MM, Hegazy EA, Abdelhamid MI, El-Mogy SA. The role of parallel imaging technique in decreasing geometric distortion artifact in diffusion weighted imaging of the brain. The Egyptian Journal of Radiology and Nuclear Medicine. 2018 Sep 1;49(3):732-6.
  17. Oghabian MA, Faeghi F, Tohidnia MR. Effect of phase-encoding reduction on geometric distortion and BOLD signal changes in fMRI. Iranian Journal of Medical Physics. 2012;9(4):275-81.
  18. Deichmann R, Good CD, Josephs O, Ashburner J, Turner R. Optimization of 3-D MP-RAGE sequences for structural brain imaging. Neuroimage. 2000 Jul 1;12(1):112-27.
  19. Wilman AH, Riederer SJ. Improved centric phase encoding orders for three‐dimensional magnetization‐prepared MR angiography. Magnetic resonance in medicine. 1996 Sep; 36(3):384-92.
  20. Conklin J, Winter JD, Thompson RT, Gelman N. High‐contrast 3D neonatal brain imaging with combined T1‐and T2‐weighted MP‐ Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine. 2008 May;59(5):1190-6.
  21. Lee H, Price RR. Diffusion Imaging with MPRAGE sequence. J Mag Reson Imaging. 1994;4(6):837-42.
  22. Stejskal EO, Tanner JE. Spin diffusion measurements: spin echoes in the presence of a time‐dependent field gradient. The journal of chemical physics. 1965 Jan 1;42(1):288-92.
  23. Price WS. Pulsed‐field gradient nuclear magnetic resonance as a tool for studying translational diffusion: Part 1. Basic theory. Concepts in Magnetic Resonance: An Educational Journal. 1997;9(5):299-336.
  24. Jiang H, Van Zijl PC, Kim J, Pearlson GD, Mori S. DtiStudio: resource program for diffusion tensor computation and fiber bundle tracking. Computer methods and programs in biomedicine. 2006 Feb 1;81(2):106-16.
  25. Mori S, Crain BJ, Chacko VP, Van Zijl PC. Three‐dimensional tracking of axonal projections in the brain by magnetic resonance imaging. Annals of Neurology: Official Journal of the American Neurological Association and the Child Neurology Society. 1999 Feb;45(2):265-9.
Iranian Journal of Medical Physics
Volume 18, Issue 5
September and October 2021
Pages 339-345

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History

  • Receive Date: 07 June 2020
  • Revise Date: 04 August 2020
  • Accept Date: 21 August 2020

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