Detection of multiple pathways in the spinal cord using q-ball imaging

Magnetic resonance diffusion tensor imaging (DTI) has been extensively applied to the spinal cord for depicting its architecture and for assessing its integrity following spinal lesions. However, DTI is limited in representing complex white matter architecture, notably in the presence of crossing fibres. Recently, q-ball imaging (QBI) has been proposed as a new method for recovering complex white matter architecture. We applied this technique to both ex vivo and in vivo spinal cords of cats using a 3T scanner. For the purpose of comparison, gradients have been applied in 55 and 100 encoding directions and b-values varied from 800 to 3000 s/mm(2). As a result, QBI was able to retrieve crossing fibre information, where the DTI approach was constrained in a unique diffusion direction. To our knowledge, this is the first study demonstrating the benefits of QBI for detecting the presence of longitudinal, commissural and dorso-ventral fibres in the spinal cord. It is a first step towards in vivo characterization of the healthy and injured human spinal cord using high angular resolution diffusion imaging and QBI.

[1]  M. Descoteaux High angular resolution diffusion MRI : from local estimation to segmentation and tractography , 2008 .

[2]  D. Parker,et al.  Analysis of partial volume effects in diffusion‐tensor MRI , 2001, Magnetic resonance in medicine.

[3]  P. Joseph,et al.  High-resolution MR of the spinal cord in humans and rats. , 1989, AJNR. American journal of neuroradiology.

[4]  S Ekholm,et al.  Effects of number of diffusion gradient directions on derived diffusion tensor imaging indices in human brain. , 2006, AJNR. American journal of neuroradiology.

[5]  Y. Cohen,et al.  Displacement imaging of spinal cord using q‐space diffusion‐weighted MRI , 2000, Magnetic resonance in medicine.

[6]  R. Deriche,et al.  Apparent diffusion coefficients from high angular resolution diffusion imaging: Estimation and applications , 2006, Magnetic resonance in medicine.

[7]  J. Thiran,et al.  Understanding diffusion MR imaging techniques: from scalar diffusion-weighted imaging to diffusion tensor imaging and beyond. , 2006, Radiographics : a review publication of the Radiological Society of North America, Inc.

[8]  M. Filippi,et al.  In vivo assessment of cervical cord damage in MS patients: a longitudinal diffusion tensor MRI study. , 2007, Brain : a journal of neurology.

[9]  Adam Flanders,et al.  Neuroimaging in Traumatic Spinal Cord Injury: An Evidence-based Review for Clinical Practice and Research , 2007, The journal of spinal cord medicine.

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

[11]  Ja-Young Choi,et al.  Optimization of Acquisition Parameters of Diffusion-Tensor Magnetic Resonance Imaging in the Spinal Cord , 2006, Investigative radiology.

[12]  H. Okano,et al.  In Vivo Tracing of Neural Tracts in the Intact and Injured Spinal Cord of Marmosets by Diffusion Tensor Tractography , 2007, The Journal of Neuroscience.

[13]  D. Tuch Q‐ball imaging , 2004, Magnetic resonance in medicine.

[14]  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.

[15]  Susumu Mori,et al.  High resolution diffusion tensor imaging of axonal damage in focal inflammatory and demyelinating lesions in rat spinal cord. , 2007, Brain : a journal of neurology.

[16]  Gareth J. Barker,et al.  Investigating Cervical Spinal Cord Structure Using Axial Diffusion Tensor Imaging , 2002, NeuroImage.

[17]  Edith V. Sullivan,et al.  Postmortem MR imaging of formalin-fixed human brain , 2004, NeuroImage.

[18]  O. Ciccarelli,et al.  Spinal cord spectroscopy and diffusion-based tractography to assess acute disability in multiple sclerosis. , 2007, Brain : a journal of neurology.

[19]  D. LeBihan,et al.  Validation of q-ball imaging with a diffusion fibre-crossing phantom on a clinical scanner , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.

[20]  S. Rossignol Plasticity of connections underlying locomotor recovery after central and/or peripheral lesions in the adult mammals , 2006, Philosophical Transactions of the Royal Society B: Biological Sciences.

[21]  T. Jaermann,et al.  A preliminary study of the effects of trigger timing on diffusion tensor imaging of the human spinal cord. , 2006, AJNR. American journal of neuroradiology.

[22]  Daniel C Alexander,et al.  Multiple‐Fiber Reconstruction Algorithms for Diffusion MRI , 2005, Annals of the New York Academy of Sciences.

[23]  P. Basser,et al.  Toward a quantitative assessment of diffusion anisotropy , 1996, Magnetic resonance in medicine.

[24]  M. Viallon,et al.  Clinical applications of diffusion tensor tractography of the spinal cord , 2007, Neuroradiology.

[25]  P. Callaghan,et al.  RAPID COMMUNICATION: NMR microscopy of dynamic displacements: k-space and q-space imaging , 1988 .

[26]  E. Melhem,et al.  Diffusion tensor MR imaging of the brain: effect of diffusion weighting on trace and anisotropy measurements. , 2000, AJNR. American journal of neuroradiology.

[27]  Jerry L. Prince,et al.  Effects of diffusion weighting schemes on the reproducibility of DTI-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T , 2007, NeuroImage.

[28]  Ferenc A. Jolesz,et al.  Collateral nerve fibers in human spinal cord: Visualization with magnetic resonance diffusion tensor imaging , 2006, NeuroImage.

[29]  Huiyong Shen,et al.  Applications of diffusion-weighted MRI in thoracic spinal cord injury without radiographic abnormality , 2007, International Orthopaedics.

[30]  Baba C. Vemuri,et al.  A Unified Computational Framework for Deconvolution to Reconstruct Multiple Fibers From Diffusion Weighted MRI , 2007, IEEE Transactions on Medical Imaging.

[31]  D. Pandya,et al.  Association fibre pathways of the brain: parallel observations from diffusion spectrum imaging and autoradiography. , 2007, Brain : a journal of neurology.

[32]  Pratik Mukherjee,et al.  Development and initial evaluation of 7-T q-ball imaging of the human brain. , 2008, Magnetic resonance imaging.

[33]  Marco Rovaris,et al.  Mean diffusivity and fractional anisotropy histogram analysis of the cervical cord in MS patients , 2005, NeuroImage.

[34]  R. Deriche,et al.  Regularized, fast, and robust analytical Q‐ball imaging , 2007, Magnetic resonance in medicine.

[35]  C T Moonen,et al.  Diffusion tensor MRI of the spinal cord , 2000, Magnetic resonance in medicine.

[36]  M. Bilgen,et al.  Magnetic resonance imaging of mouse spinal cord , 2005, Magnetic resonance in medicine.

[37]  V. Wedeen,et al.  Reduction of eddy‐current‐induced distortion in diffusion MRI using a twice‐refocused spin echo , 2003, Magnetic resonance in medicine.

[38]  Rachid Deriche,et al.  Deterministic and Probabilistic Q-Ball Tractography: from Diffusion to Sharp Fiber Distribution , 2007 .

[39]  Guy B. Williams,et al.  Inference of multiple fiber orientations in high angular resolution diffusion imaging , 2005, Magnetic resonance in medicine.

[40]  R. E. Schmidt,et al.  Toward accurate diagnosis of white matter pathology using diffusion tensor imaging , 2007, Magnetic resonance in medicine.

[41]  Usha Sinha,et al.  Geometric distortion correction of high‐resolution 3 T diffusion tensor brain images , 2005, Magnetic resonance in medicine.

[42]  Julien Cohen-Adad,et al.  In vivo DTI of the healthy and injured cat spinal cord at high spatial and angular resolution , 2008, NeuroImage.

[43]  Martin E Schwab,et al.  The injured spinal cord spontaneously forms a new intraspinal circuit in adult rats , 2004, Nature Neuroscience.

[44]  A. Hiwatashi,et al.  Diffusion tensor MR imaging of the cervical spinal cord in patients with multiple sclerosis , 2007, European Radiology.

[45]  Diffusion-weighted MR imaging (DWI) in the evaluation of epidural spinal lesions , 2007, Neuroradiology.

[46]  P. Hagmann,et al.  Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging , 2005, Magnetic resonance in medicine.

[47]  Kamil Ugurbil,et al.  How does DWI correlate with white matter structures? , 2005, Magnetic resonance in medicine.

[48]  A. Osborn Clinical applications of diffusion tensor tractography of the spinal cord , 2009 .

[49]  Alan Connelly,et al.  Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution , 2004, NeuroImage.

[50]  Derek K. Jones,et al.  The effect of gradient sampling schemes on measures derived from diffusion tensor MRI: A Monte Carlo study † , 2004, Magnetic resonance in medicine.

[51]  Rachid Deriche,et al.  Deterministic and Probabilistic Q-Ball Tractography: from Diffusion to Sharp Fiber Distributions , 2007 .

[52]  Ching Yao,et al.  Validation of diffusion spectrum magnetic resonance imaging with manganese-enhanced rat optic tracts and ex vivo phantoms , 2003, NeuroImage.

[53]  K. Hasan,et al.  In vivo serial diffusion tensor imaging of experimental spinal cord injury , 2006, Journal of neuroscience research.

[54]  R. Bammer,et al.  Diffusion-weighted magnetic resonance imaging of the spine and spinal cord. , 2006, Seminars in roentgenology.

[55]  Martin Kerschensteiner Strategies for axonal repair in central nervous system diseases , 2007, Journal of Neurology.

[56]  P. Fillard,et al.  Diffusion tensor magnetic resonance imaging and fiber tracking in spinal cord lesions: current and future indications. , 2007, Neuroimaging clinics of North America.

[57]  E. Agranov,et al.  Diffusion anisotropy MRI for quantitative assessment of recovery in injured rat spinal cord , 2001, Magnetic resonance in medicine.

[58]  K. Hasan,et al.  Diffusion tensor imaging of in vivo and excised rat spinal cord at 7 T with an icosahedral encoding scheme , 2005, Magnetic resonance in medicine.

[59]  P. Narayana,et al.  In vivo diffusion characteristics of rat spinal cord. , 1999, Magnetic resonance imaging.

[60]  Duan Xu,et al.  Q‐ball reconstruction of multimodal fiber orientations using the spherical harmonic basis , 2006, Magnetic resonance in medicine.

[61]  Abbas F. Sadikot,et al.  Flow-based fiber tracking with diffusion tensor and q-ball data: Validation and comparison to principal diffusion direction techniques , 2005, NeuroImage.

[62]  James Gee,et al.  Spinal cord diffusion tensor imaging and fiber tracking can identify white matter tract disruption and glial scar orientation following lateral funiculotomy. , 2005, Journal of neurotrauma.

[63]  Alan Connelly,et al.  Robust determination of the fibre orientation distribution in diffusion MRI: Non-negativity constrained super-resolved spherical deconvolution , 2007, NeuroImage.

[64]  E. D. Schwartz,et al.  In vivo DTI evaluation of white matter tracts in rat spinal cord , 2006, Journal of magnetic resonance imaging : JMRI.

[65]  Jean-Francois Mangin,et al.  Real-time MR diffusion tensor and Q-ball imaging using Kalman filtering , 2008, Medical Image Anal..

[66]  A. Anderson Measurement of fiber orientation distributions using high angular resolution diffusion imaging , 2005, Magnetic resonance in medicine.

[67]  V. Wedeen,et al.  Fiber crossing in human brain depicted with diffusion tensor MR imaging. , 2000, Radiology.