Literature DB >> 16394147

Diffusion tensor imaging of the spinal cord.

Stephan E Maier1, Hatsuho Mamata.   

Abstract

The spinal cord is an important part of the nervous system and provides the connection of the brain with the periphery. It consists not only of a large number of longitudinal fibers, but also contains collateral fibers and a central gray matter structure, which are part of autonomous circuits. Magnetic resonance diffusion tensor imaging can reveal this complex fiber architecture in great detail. This report summarizes the normal findings for ADC, diffusion anisotropy, and diffusion eigenvector directions in the spinal cord. Sagittal and axial diffusion-weighted images of the spinal cord were obtained with line scan diffusion imaging (LSDI) in adults, children, infants, and a spinal cord specimen.

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Year:  2005        PMID: 16394147     DOI: 10.1196/annals.1340.011

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  23 in total

1.  In vivo tracing of neural tracts in the intact and injured spinal cord of marmosets by diffusion tensor tractography.

Authors:  Kanehiro Fujiyoshi; Masayuki Yamada; Masaya Nakamura; Junichi Yamane; Hiroyuki Katoh; Kazuya Kitamura; Kenji Kawai; Seiji Okada; Suketaka Momoshima; Yoshiaki Toyama; Hideyuki Okano
Journal:  J Neurosci       Date:  2007-10-31       Impact factor: 6.167

2.  Clinical applications of diffusion tensor tractography of the spinal cord.

Authors:  Maria Isabel Vargas; Jacqueline Delavelle; Helmi Jlassi; Bénédict Rilliet; Magalie Viallon; Christoph D Becker; Karl-Olof Lövblad
Journal:  Neuroradiology       Date:  2007-10-02       Impact factor: 2.804

Review 3.  Examination of spinal cord tissue architecture with magnetic resonance diffusion tensor imaging.

Authors:  Stephan E Maier
Journal:  Neurotherapeutics       Date:  2007-07       Impact factor: 7.620

4.  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

5.  Normal values of cervical spinal cord diffusion tensor in young and middle-aged healthy Chinese.

Authors:  Tin-Yan Chan; Xiang Li; Kin-Cheung Mak; Jason Pui-yin Cheung; Keith Dip-Kei Luk; Yong Hu
Journal:  Eur Spine J       Date:  2015-07-25       Impact factor: 3.134

6.  Analysis of the diffusion tensor imaging parameters of a normal cervical spinal cord in a healthy population.

Authors:  Liang-Feng Wei; Shou-Sen Wang; Zhao-Cong Zheng; Jun Tian; Liang Xue
Journal:  J Spinal Cord Med       Date:  2016-11-04       Impact factor: 1.985

7.  Effect of age on the fractional anisotropy (FA) value of peripheral nerves and clinical significance of the age-corrected FA value for evaluating polyneuropathies.

Authors:  Keizo Tanitame; Yoshiko Iwakado; Yuji Akiyama; Hiroki Ueno; Kazuhide Ochi; Keiko Otani; Miyuki Takasu; Shuji Date; Kazuo Awai
Journal:  Neuroradiology       Date:  2011-11-24       Impact factor: 2.804

8.  Tract-Specific Diffusion Tensor Imaging in Cervical Spondylotic Myelopathy Before and After Decompressive Spinal Surgery: Preliminary Results.

Authors:  K Y Wang; O Idowu; C B Thompson; G Orman; C Myers; L H Riley; J A Carrino; A Flammang; W Gilson; C L Sadowsky; I Izbudak
Journal:  Clin Neuroradiol       Date:  2015-06-24       Impact factor: 3.649

9.  Analysis of high-voltage electrical spinal cord injury using diffusion tensor imaging.

Authors:  Suk Hoon Ohn; Deog Young Kim; Ji Cheol Shin; Seung Min Kim; Woo-Kyoung Yoo; Seung-Koo Lee; Chang-Hyun Park; Kwang-Ik Jung; Ki Un Jang; Cheong Hoon Seo; Sung Hye Koh; Bora Jung
Journal:  J Neurol       Date:  2013-09-04       Impact factor: 4.849

10.  Reduced field-of-view diffusion imaging of the human spinal cord: comparison with conventional single-shot echo-planar imaging.

Authors:  G Zaharchuk; E U Saritas; J B Andre; C T Chin; J Rosenberg; T J Brosnan; A Shankaranarayan; D G Nishimura; N J Fischbein
Journal:  AJNR Am J Neuroradiol       Date:  2011-03-31       Impact factor: 3.825

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