Literature DB >> 27192379

Quantifying the impact of underlying measurement error on cervical spinal cord diffusion tensor imaging at 3T.

Samantha By1,2, Alex K Smith1,2, Lindsey M Dethrage2,3, Bailey D Lyttle2, Bennett A Landman1,2,3,4, Jeffrey L Creasy3, Siddharama Pawate5, Seth A Smith1,2,3.   

Abstract

PURPOSE: To empirically characterize and quantify the impact of gradient weighting schemes on the appearance and fidelity of diffusion tensor imaging of the human spinal cord in vivo in clinically relevant scan time equivalents (STE).
MATERIALS AND METHODS: In five healthy controls at 3T, we evaluated test-retest reproducibility and performed voxelwise analysis of diffusion tensor imaging (DTI)-derived indices (fractional anisotropy [FA], mean [MD], axial [AD], and radial [RD] diffusivity) in the cervical spinal cord to assess spatial dependencies of measurement error and differences across three different sampling schemes (6, 15, and 32 directions) at STE of 4.5, 9, and 18 minutes. A subjective assessment was also performed.
RESULTS: With six directions, column-specific errors are highest (effect size = 2.9%, 4.4%, 7.2% for FA in dorsal column, lateral column, and gray matter) and different than the 15-direction scheme (P < 0.05). STE sequences with 15 and 32 directions exhibited small differences in error (P > 0.05). For FA and AD, measurement errors are prevalent in gray matter, while partial volume effects with cerebrospinal fluid heavily influence RD. Measurement errors decreased with increasing scan time (P < 0.01), albeit with diminishing returns at scan times longer than 9 minutes (P < 0.05).
CONCLUSION: A 15-direction scheme of 9 minutes yields measurements of the cervical spinal cord with low error. J. Magn. Reson. Imaging 2016;44:1608-1618.
© 2016 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  diffusion tensor imaging; magnetic resonance imaging; spinal cord

Mesh:

Year:  2016        PMID: 27192379      PMCID: PMC5116007          DOI: 10.1002/jmri.25308

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  38 in total

1.  Condition number as a measure of noise performance of diffusion tensor data acquisition schemes with MRI.

Authors:  S Skare; M Hedehus; M E Moseley; T Q Li
Journal:  J Magn Reson       Date:  2000-12       Impact factor: 2.229

2.  The effect of gradient sampling schemes on measures derived from diffusion tensor MRI: a Monte Carlo study.

Authors:  Derek K Jones
Journal:  Magn Reson Med       Date:  2004-04       Impact factor: 4.668

3.  Diffusion tensor imaging in the cervical spinal cord.

Authors:  Ting Song; Wen-Jun Chen; Bo Yang; Hong-Pu Zhao; Jian-Wei Huang; Ming-Jin Cai; Tian-Fa Dong; Tang-Sheng Li
Journal:  Eur Spine J       Date:  2010-10-13       Impact factor: 3.134

4.  Diffusion tensor MR imaging of the human brain.

Authors:  C Pierpaoli; P Jezzard; P J Basser; A Barnett; G Di Chiro
Journal:  Radiology       Date:  1996-12       Impact factor: 11.105

5.  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.

Authors:  Jonathan A D Farrell; Bennett A Landman; Craig K Jones; Seth A Smith; Jerry L Prince; Peter C M van Zijl; Susumu Mori
Journal:  J Magn Reson Imaging       Date:  2007-09       Impact factor: 4.813

6.  The B-matrix must be rotated when correcting for subject motion in DTI data.

Authors:  Alexander Leemans; Derek K Jones
Journal:  Magn Reson Med       Date:  2009-06       Impact factor: 4.668

7.  Contiguous-slice zonally oblique multislice (CO-ZOOM) diffusion tensor imaging: examples of in vivo spinal cord and optic nerve applications.

Authors:  Nicholas G Dowell; Thomas M Jenkins; Olga Ciccarelli; David H Miller; Claudia A M Wheeler-Kingshott
Journal:  J Magn Reson Imaging       Date:  2009-02       Impact factor: 4.813

8.  Demyelination and degeneration in the injured human spinal cord detected with diffusion and magnetization transfer MRI.

Authors:  J Cohen-Adad; M-M El Mendili; S Lehéricy; P-F Pradat; S Blancho; S Rossignol; H Benali
Journal:  Neuroimage       Date:  2011-01-11       Impact factor: 6.556

Review 9.  FSL.

Authors:  Mark Jenkinson; Christian F Beckmann; Timothy E J Behrens; Mark W Woolrich; Stephen M Smith
Journal:  Neuroimage       Date:  2011-09-16       Impact factor: 6.556

10.  Extensive neurological recovery from a complete spinal cord injury: a case report and hypothesis on the role of cortical plasticity.

Authors:  Ann S Choe; Visar Belegu; Shoko Yoshida; Suresh Joel; Cristina L Sadowsky; Seth A Smith; Peter C M van Zijl; James J Pekar; John W McDonald
Journal:  Front Hum Neurosci       Date:  2013-06-25       Impact factor: 3.169

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  4 in total

1.  Diffusion MRI microstructural models in the cervical spinal cord - Application, normative values, and correlations with histological analysis.

Authors:  Kurt G Schilling; Samantha By; Haley R Feiler; Bailey A Box; Kristin P O'Grady; Atlee Witt; Bennett A Landman; Seth A Smith
Journal:  Neuroimage       Date:  2019-07-19       Impact factor: 6.556

2.  Reproducibility, temporal stability, and functional correlation of diffusion MR measurements within the spinal cord in patients with asymptomatic cervical stenosis or cervical myelopathy.

Authors:  Benjamin M Ellingson; Noriko Salamon; Davis C Woodworth; Hajime Yokota; Langston T Holly
Journal:  J Neurosurg Spine       Date:  2018-02-09

3.  Quantification of DTI in the Pediatric Spinal Cord: Application to Clinical Evaluation in a Healthy Patient Population.

Authors:  B B Reynolds; S By; Q R Weinberg; A A Witt; A T Newton; H R Feiler; B Ramkorun; D B Clayton; P Couture; J E Martus; M Adams; J C Wellons; S A Smith; A Bhatia
Journal:  AJNR Am J Neuroradiol       Date:  2019-06-13       Impact factor: 3.825

4.  Application and evaluation of NODDI in the cervical spinal cord of multiple sclerosis patients.

Authors:  Samantha By; Junzhong Xu; Bailey A Box; Francesca R Bagnato; Seth A Smith
Journal:  Neuroimage Clin       Date:  2017-05-17       Impact factor: 4.881

  4 in total

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