Literature DB >> 27365330

Cervical Spinal Cord DTI Is Improved by Reduced FOV with Specific Balance between the Number of Diffusion Gradient Directions and Averages.

A Crombe1,2,3, N Alberti3,4, B Hiba3,4,5, M Uettwiller6, V Dousset7,2,3, T Tourdias7,2,3.   

Abstract

BACKGROUND AND
PURPOSE: Reduced-FOV DTI is promising for exploring the cervical spinal cord, but the optimal set of parameters needs to be clarified. We hypothesized that the number of excitations should be favored over the number of diffusion gradient directions regarding the strong orientation of the cord in a single rostrocaudal axis.
MATERIALS AND METHODS: Fifteen healthy individuals underwent cervical spinal cord MR imaging at 3T, including an anatomic 3D-Multi-Echo Recombined Gradient Echo, high-resolution full-FOV DTI with a NEX of 3 and 20 diffusion gradient directions and 5 sets of reduced-FOV DTIs differently balanced in terms of NEX/number of diffusion gradient directions: (NEX/number of diffusion gradient directions = 3/20, 5/16, 7/12, 9/9, and 12/6). Each DTI sequence lasted 4 minutes 30 seconds, an acceptable duration, to cover C1-C4 in the axial plane. Fractional anisotropy maps and tractograms were reconstructed. Qualitatively, 2 radiologists rated the DTI sets blinded to the sequence. Quantitatively, we compared distortions, SNR, variance of fractional anisotropy values, and numbers of detected fibers.
RESULTS: Qualitatively, reduced-FOV DTI sequences with a NEX of ≥5 were significantly better rated than the full-FOV DTI and the reduced-FOV DTI with low NEX (N = 3) and a high number of diffusion gradient directions (D = 20). Quantitatively, the best trade-off was reached by the reduced-FOV DTI with a NEX of 9 and 9 diffusion gradient directions, which provided significantly fewer artifacts, higher SNR on trace at b = 750 s/mm2 and an increased number of fibers tracked while maintaining similar fractional anisotropy values and dispersion.
CONCLUSIONS: Optimized reduced-FOV DTI improves spinal cord imaging. The best compromise was obtained with a NEX of 9 and 9 diffusion gradient directions, which emphasizes the need for increasing the NEX at the expense of the number of diffusion gradient directions for spinal cord DTI contrary to brain DTI.
© 2016 by American Journal of Neuroradiology.

Year:  2016        PMID: 27365330      PMCID: PMC7963780          DOI: 10.3174/ajnr.A4850

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  31 in total

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2.  Optimization of acquisition parameters of diffusion-tensor magnetic resonance imaging in the spinal cord.

Authors:  Joon Woo Lee; Jae Hyung Kim; Heung Sik Kang; Jong Sea Lee; Ja-Young Choi; Jin-Sup Yeom; Hyun-Jib Kim; Hye Won Chung
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Review 3.  Diffusion tensor MR imaging and fiber tractography: technical considerations.

Authors:  P Mukherjee; S W Chung; J I Berman; C P Hess; R G Henry
Journal:  AJNR Am J Neuroradiol       Date:  2008-03-13       Impact factor: 3.825

4.  High-resolution diffusion tensor imaging with inner field-of-view EPI.

Authors:  Jürgen Finsterbusch
Journal:  J Magn Reson Imaging       Date:  2009-04       Impact factor: 4.813

5.  Diffusion tensor MR imaging of the neurologically intact human spinal cord.

Authors:  B M Ellingson; J L Ulmer; S N Kurpad; B D Schmit
Journal:  AJNR Am J Neuroradiol       Date:  2008-04-16       Impact factor: 3.825

6.  MR diffusion tensor imaging and fiber tracking in spinal cord compression.

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Journal:  AJNR Am J Neuroradiol       Date:  2005 Jun-Jul       Impact factor: 3.825

7.  Localized high-resolution DTI of the human midbrain using single-shot EPI, parallel imaging, and outer-volume suppression at 7T.

Authors:  Christopher J Wargo; John C Gore
Journal:  Magn Reson Imaging       Date:  2013-03-29       Impact factor: 2.546

8.  MR diffusion tensor imaging and fiber tracking in inflammatory diseases of the spinal cord.

Authors:  J Renoux; D Facon; P Fillard; I Huynh; P Lasjaunias; D Ducreux
Journal:  AJNR Am J Neuroradiol       Date:  2006-10       Impact factor: 3.825

9.  Diffusion tensor MR imaging in cervical spine trauma.

Authors:  K Shanmuganathan; R P Gullapalli; J Zhuo; S E Mirvis
Journal:  AJNR Am J Neuroradiol       Date:  2008-01-31       Impact factor: 3.825

10.  Investigating cervical spinal cord structure using axial diffusion tensor imaging.

Authors:  Claudia A M Wheeler-Kingshott; Simon J Hickman; Geoffrey J M Parker; Olga Ciccarelli; Mark R Symms; David H Miller; Gareth J Barker
Journal:  Neuroimage       Date:  2002-05       Impact factor: 6.556

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  3 in total

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Journal:  BMC Musculoskelet Disord       Date:  2022-07-15       Impact factor: 2.562

2.  Quantitative spinal cord MRI in radiologically isolated syndrome.

Authors:  Paula Alcaide-Leon; Kateryna Cybulsky; Stephanie Sankar; Courtney Casserly; General Leung; Marika Hohol; Daniel Selchen; Xavier Montalban; Aditya Bharatha; Jiwon Oh
Journal:  Neurol Neuroimmunol Neuroinflamm       Date:  2018-01-17

3.  Combining SENSE and reduced field-of-view for high-resolution diffusion weighted magnetic resonance imaging.

Authors:  Jisu Hu; Ming Li; Yakang Dai; Chen Geng; Baotong Tong; Zhiyong Zhou; Xue Liang; Wen Yang; Bing Zhang
Journal:  Biomed Eng Online       Date:  2018-06-15       Impact factor: 2.819

  3 in total

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