Computational Model of Interstitial Transport in the Spinal Cord using Diffusion Tensor Imaging

2006 ◽  
Vol 34 (8) ◽  
pp. 1304-1321 ◽  
Author(s):  
Malisa Sarntinoranont ◽  
Xiaoming Chen ◽  
Jianbing Zhao ◽  
Thomas H. Mareci
Keyword(s):  
Spinal Cord ◽  
Diffusion Tensor Imaging ◽  
Computational Model ◽  
Diffusion Tensor ◽  
Interstitial Transport

Highly resolved Diffusion Tensor Imaging of the spinal cord at 3.0 Tesla

2008 ◽  
Vol 180 (02) ◽  
Author(s):  
C Rossi ◽  
A Boss ◽  
TM Lindig ◽  
P Martirosian ◽  
G Steidle ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
3.0 Tesla

scholarly journals Microstructure of the Midbrain and Cervical Spinal Cord in Idiopathic Restless Legs Syndrome: A Diffusion Tensor Imaging Study

SLEEP ◽  
2016 ◽  
Vol 39 (2) ◽  
pp. 423-428 ◽  
Author(s):  
Klaas Lindemann ◽  
Hans-Peter Müller ◽  
Albert C. Ludolph ◽  
Magdolna Hornyak ◽  
Jan Kassubek
Keyword(s):  
Spinal Cord ◽  
Diffusion Tensor Imaging ◽  
Restless Legs Syndrome ◽  
Diffusion Tensor ◽  
Cervical Spinal Cord ◽  
Imaging Study ◽  
Restless Legs ◽  
Diffusion Tensor Imaging Study

scholarly journals Noninvasive diffusion tensor imaging of evolving white matter pathology in a mouse model of acute spinal cord injury

2007 ◽  
Vol 58 (2) ◽  
pp. 253-260 ◽  
Author(s):  
Joong Hee Kim ◽  
David N. Loy ◽  
Hsiao-Fang Liang ◽  
Kathryn Trinkaus ◽  
Robert E. Schmidt ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Spinal Cord Injury ◽  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Mouse Model ◽  
Diffusion Tensor ◽  
Acute Spinal Cord Injury ◽  
Cord Injury ◽  
White Matter Pathology

Age-related changes of the diffusion tensor imaging parameters of the normal cervical spinal cord

2014 ◽  
Vol 83 (12) ◽  
pp. 2196-2202 ◽  
Author(s):  
Kun Wang ◽  
Qingxin Song ◽  
Fan Zhang ◽  
Zhi Chen ◽  
Canglong Hou ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Cervical Spinal Cord ◽  
Imaging Parameters ◽  
Age Related ◽  
Age Related Changes

scholarly journals Diffusion tensor imaging to guide surgical planning in intramedullary spinal cord tumors in children

2014 ◽  
Vol 56 (2) ◽  
pp. 169-174 ◽  
Author(s):  
Asim F. Choudhri ◽  
Matthew T. Whitehead ◽  
Paul Klimo ◽  
Blake K. Montgomery ◽  
Frederick A. Boop
Keyword(s):  
Spinal Cord ◽  
Diffusion Tensor Imaging ◽  
Surgical Planning ◽  
Diffusion Tensor ◽  
Spinal Cord Tumors ◽  
Intramedullary Spinal Cord

scholarly journals Application of fiber tractography and diffusion tensor imaging to evaluate spinal cord diseases in dogs

2017 ◽  
Vol 79 (2) ◽  
pp. 418-424 ◽  
Author(s):  
Yuko KONISHI ◽  
Hiroyuki SATOH ◽  
Yasuyoshi KUROIWA ◽  
Mizuki KUSAKA ◽  
Atsushi YAMASHITA ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Fiber Tractography ◽  
Spinal Cord Diseases ◽  
And Diffusion

scholarly journals Non-invasive diffusion tensor imaging detects white matter degeneration in the spinal cord of a mouse model of amyotrophic lateral sclerosis

NeuroImage ◽  
2011 ◽  
Vol 55 (2) ◽  
pp. 455-461 ◽  
Author(s):  
Clare K. Underwood ◽  
Nyoman D. Kurniawan ◽  
Tim J. Butler ◽  
Gary J. Cowin ◽  
Robyn H. Wallace
Keyword(s):  
Spinal Cord ◽  
Amyotrophic Lateral Sclerosis ◽  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Mouse Model ◽  
Diffusion Tensor ◽  
Non Invasive ◽  
White Matter Degeneration ◽  
Lateral Sclerosis

Tract‐Specific Spinal Cord Diffusion Tensor Imaging in Friedreich's Ataxia

2021 ◽  
Author(s):  
Ana Luisa C.C. Hernandez ◽  
Thiago J.R. Rezende ◽  
Alberto R.M. Martinez ◽  
Mariana R. Brito ◽  
Marcondes C. França
Keyword(s):  
Spinal Cord ◽  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Friedreich’S Ataxia ◽  
Friedreich's Ataxia

scholarly journals Diffusion Tensor Imaging in Diagnosis of Post-Traumatic Syringomyelia in Spinal Cord Injury in Rats

2018 ◽  
Vol 24 ◽  
pp. 177-182 ◽  
Author(s):  
Chao Zhang ◽  
Kai Chen ◽  
Xiuxin Han ◽  
Jiayuanyuan Fu ◽  
Patricia Douglas ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Spinal Cord Injury ◽  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Cord Injury ◽  
Post Traumatic

scholarly journals MR diffusion tensor imaging of the spinal cord: can it help in early detection of cervical spondylotic myelopathy and assessment of its severity?

2019 ◽  
Vol 50 (1) ◽  
Author(s):  
Talaat Ahmed Abd El Hameed Hassan ◽  
Ramy Edward Assad ◽  
Shaimaa Atef Belal
Keyword(s):  
Spinal Cord ◽  
Diffusion Tensor Imaging ◽  
Early Detection ◽  
Cervical Spondylotic Myelopathy ◽  
Diffusion Tensor ◽  
Cervical Spinal Cord ◽  
Cervical Cord ◽  
Mr Diffusion ◽  
Compressive Myelopathy ◽  
Mr Diffusion Tensor Imaging

Abstract Background The aim of this study is to evaluate the potential application of MR diffusion tensor imaging (with calculation of fractional anisotropy (FA) values) in assessment of the spondylotic cervical spinal canal compromise and comparison with the information issued from conventional MR sequences for early detection of cervical spondylotic myelopathy (CSM). Thirty patients (11 males and 19 females) were included in this study; age ranged from 22 to 70 years (mean age = 44). All patients had conventional and diffusion tensor imaging (DTI) examinations of the cervical spine for detection and assessment of degree of cervical cord myelopathy. FA values of the whole cord circumference and at 3, 6, 9, 12 o’clock positions of the normal cord (opposite to C2), opposite to the most affected disc, and below the level of the most affected disc were measured. Results High statistically significant P values were obtained when comparing the FA values of the normal cord with the cord opposite to the most affected disc, the normal cord with the cord below the affected disc and the cord at the level of the most affected disc with the cord below the level of the most affected disc. Conclusions DTI of the cervical spinal cord with FA measurement in patients with cervical spondylosis helps in early detection of cervical cord compressive myelopathy prior to appearance of changes in conventional MRI, which can improve the clinical outcome and help in treatment plans.

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