Rapid in vivo detection of rat spinal cord injury with double‐diffusion‐encoded magnetic resonance spectroscopy

Diffusion‐weighted imaging is a common experimental tool for evaluating spinal cord injury (SCI), yet it suffers from complications that decrease its clinical effectiveness. The most commonly used technique, diffusion tensor imaging (DTI), is often confounded by effects of edema accompanying acute SCI, limiting its sensitivity to the important functional status marker of axonal integrity. The purpose of this study is to introduce a novel diffusion‐acquisition method with the goal of overcoming these limitations.

[1]  R. Henkelman.  Measurement of signal intensities in the presence of noise in MR images. , 1985, Medical physics.

[2]  R. Henkelman.  Erratum: Measurement of signal intensities in the presence of noise in MR images [Med. Phys. 12, 232 (1985)] , 1986 .

[3]  P. Bottomley.  Spatial Localization in NMR Spectroscopy in Vivo , 1987, Annals of the New York Academy of Sciences.

[4]  P. Basser,et al.  Estimation of the effective self-diffusion tensor from the NMR spin echo. , 1994, Journal of magnetic resonance. Series B.

[5]  Mitra,et al.  Multiple wave-vector extensions of the NMR pulsed-field-gradient spin-echo diffusion measurement. , 1995, Physical review. B, Condensed matter.

[6]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .

[7]  D. Le Bihan,et al.  Water diffusion compartmentation and anisotropy at high b values in the human brain , 2000, Magnetic resonance in medicine.

[8]  D L Parker,et al.  Comparison of gradient encoding schemes for diffusion‐tensor MRI , 2001, Journal of magnetic resonance imaging : JMRI.

[9]  Paul T. Callaghan,et al.  Locally anisotropic motion in a macroscopically isotropic system: displacement correlations measured using double pulsed gradient spin‐echo NMR , 2002 .

[10]  M. Esiri,et al.  Axonal damage: a key predictor of outcome in human CNS diseases. , 2003, Brain : a journal of neurology.

[11]  Peter J Basser,et al.  MR diffusion - "diffraction" phenomenon in multi-pulse-field-gradient experiments. , 2007, Journal of magnetic resonance.

[12]  R. E. Schmidt,et al.  Noninvasive diffusion tensor imaging of evolving white matter pathology in a mouse model of acute spinal cord injury , 2007, Magnetic resonance in medicine.

[13]  Peter C M van Zijl,et al.  High b‐value q‐space diffusion‐weighted MRI of the human cervical spinal cord in vivo: Feasibility and application to multiple sclerosis , 2008, Magnetic resonance in medicine.

[14]  Susumu Mori,et al.  Diffusion Tensor Magnetic Resonance Imaging of Wallerian Degeneration in Rat Spinal Cord after Dorsal Root Axotomy , 2009, The Journal of Neuroscience.

[15]  Brian D. Schmit,et al.  Lesion growth and degeneration patterns measured using diffusion tensor 9.4-T magnetic resonance imaging in rat spinal cord injury. , 2010, Journal of neurosurgery. Spine.

[16]  J. Frank,et al.  Neurite beading is sufficient to decrease the apparent diffusion coefficient after ischemic stroke , 2010, Proceedings of the National Academy of Sciences.

[17]  P. Narayana,et al.  In vivo longitudinal MRI and behavioral studies in experimental spinal cord injury. , 2010, Journal of neurotrauma.

[18]  Kathryn Trinkaus,et al.  Diffusion tensor imaging at 3 hours after traumatic spinal cord injury predicts long-term locomotor recovery. , 2010, Journal of neurotrauma.

[19]  Melvin T. Alexander,et al.  Correlation of MR diffusion tensor imaging parameters with ASIA motor scores in hemorrhagic and nonhemorrhagic acute spinal cord injury. , 2011, Journal of neurotrauma.

[20]  Joseph A. Helpern,et al.  White matter characterization with diffusional kurtosis imaging , 2011, NeuroImage.

[21]  Jürgen Finsterbusch,et al.  Towards compartment size estimation in vivo based on double wave vector diffusion weighting , 2011, NMR in biomedicine.

[22]  K. Trinkaus,et al.  Quantification of increased cellularity during inflammatory demyelination. , 2011, Brain : a journal of neurology.

[23]  Daniel C. Alexander,et al.  NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain , 2012, NeuroImage.

[24]  Mark W. Woolrich,et al.  FSL , 2012, NeuroImage.

[25]  S. Harkema,et al.  A clinical prediction model for long-term functional outcome after traumatic spinal cord injury based on acute clinical and imaging factors. , 2012, Journal of neurotrauma.

[26]  Peter J. Basser,et al.  In vivo detection of microscopic anisotropy using quadruple pulsed-field gradient (qPFG) diffusion MRI on a clinical scanner , 2013, NeuroImage.

[27]  Adam R Ferguson,et al.  Derivation of Multivariate Syndromic Outcome Metrics for Consistent Testing across Multiple Models of Cervical Spinal Cord Injury in Rats , 2013, PloS one.

[28]  Assessing White Matter Integrity in Experimental Spinal Cord Injury Using Diffusion Tensor Imaging , 2013 .

[29]  C. Sønderby,et al.  Orientationally invariant metrics of apparent compartment eccentricity from double pulsed field gradient diffusion experiments , 2013, NMR in biomedicine.

[30]  Erratum: Orientationally invariant metrics of apparent compartment eccentricity from double pulsed field gradient diffusion experiments , 2014 .

[31]  F. Szczepankiewicz,et al.  Microanisotropy imaging: quantification of microscopic diffusion anisotropy and orientational order parameter by diffusion MRI with magic-angle spinning of the q-vector , 2014, Front. Physics.

[32]  Brian D. Schmit,et al.  Detection of acute nervous system injury with advanced diffusion‐weighted MRI: a simulation and sensitivity analysis , 2015, NMR in biomedicine.

[33]  S. Kurpad,et al.  Diffusion Imaging in the Rat Cervical Spinal Cord , 2015, Journal of visualized experiments : JoVE.