scholarly journals Spontaneous acute and chronic spinal cord injuries in paraplegic dogs: a comparative study of in vivo diffusion tensor imaging

Spinal Cord ◽  
2017 ◽  
Vol 55 (12) ◽  
pp. 1108-1116 ◽  
Author(s):  
A Wang-Leandro ◽  
M K Hobert ◽  
N Alisauskaite ◽  
P Dziallas ◽  
K Rohn ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Diffusion Tensor Imaging ◽  
Comparative Study ◽  
Spinal Cord Injuries ◽  
Diffusion Tensor

The cervical spinal cord in neuromyelitis optica patients: A comparative study with multiple sclerosis using diffusion tensor imaging

2012 ◽  
Vol 81 (10) ◽  
pp. 2697-2701 ◽  
Author(s):  
Fernanda Miraldi Clemente Pessôa ◽  
Fernanda Cristina Rueda Lopes ◽  
João Victor Altamiro Costa ◽  
Soniza Vieira Alves Leon ◽  
Romeu Côrtes Domingues ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Spinal Cord ◽  
Diffusion Tensor Imaging ◽  
Comparative Study ◽  
Neuromyelitis Optica ◽  
Diffusion Tensor ◽  
Cervical Spinal Cord

In vivo diffusion tensor imaging of rat spinal cord at 7 T

2002 ◽  
Vol 20 (3) ◽  
pp. 243-247 ◽  
Author(s):  
Ibrahim Elshafiey ◽  
Mehmet Bilgen ◽  
Renjie He ◽  
Ponnada A. Narayana
Keyword(s):  
Spinal Cord ◽  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Rat Spinal Cord

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

2009 ◽  
Vol 29 (2) ◽  
pp. 454-460 ◽  
Author(s):  
Nicholas G. Dowell ◽  
Thomas M. Jenkins ◽  
Olga Ciccarelli ◽  
David H. Miller ◽  
Claudia A.M. Wheeler-Kingshott
Keyword(s):  
Spinal Cord ◽  
Diffusion Tensor Imaging ◽  
Optic Nerve ◽  
Diffusion Tensor ◽  
Contiguous Slice

scholarly journals Improved in vivo diffusion tensor imaging of human cervical spinal cord

NeuroImage ◽  
2013 ◽  
Vol 67 ◽  
pp. 64-76 ◽  
Author(s):  
Junqian Xu ◽  
Joshua S. Shimony ◽  
Eric C. Klawiter ◽  
Abraham Z. Snyder ◽  
Kathryn Trinkaus ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Cervical Spinal Cord

In Vivo Characterization of Transport Anisotropy in Rat Spinal Cord Using Diffusion Tensor Imaging

2008 ◽  
Author(s):  
Xiaoming Chen ◽  
Garrett W. Astary ◽  
Thomas H. Mareci ◽  
Malisa Sarntinoranont
Keyword(s):  
Spinal Cord ◽  
Diffusion Tensor Imaging ◽  
Drug Transport ◽  
Diffusion Tensor ◽  
Local Drug Delivery ◽  
Imaging Method ◽  
Rat Spinal Cord ◽  
In Vivo Characterization

Biotransport in nervous tissues is complicated by the existence of neural fibers. These axonal fibers result in inhomogeneous and anisotropic extracellular transport, which complicates the prediction of local drug delivery such as convection-enhanced delivery [1]. Previous studies by our group [4] have shown that by using diffusion tensor imaging (DTI) [2, 3], anisotropic transport in rat spinal cord can be modeled using computational models, and consequently extracellular flows which influence drug transport can be well predicted. In previous studies, DTI-based models used data from an excised and fixed rat spinal cord. In the current study, we extend our DTI study to in vivo measures, and report the in vivo characterization of transport anisotropy in rat spinal cord. The MR imaging method is presented and the DTI data is discussed.

In vivo diffusion tensor imaging of chronic spinal cord compression: a rat model with special attention to the conus medullaris

2016 ◽  
Vol 57 (12) ◽  
pp. 1531-1539 ◽  
Author(s):  
Peng Zhao ◽  
Chao Kong ◽  
Xueming Chen ◽  
Hua Guan ◽  
Zhenshan Yu ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Diffusion Tensor Imaging ◽  
Spinal Cord Compression ◽  
Rat Model ◽  
Diffusion Tensor ◽  
Cord Compression ◽  
Conus Medullaris

scholarly journals Serial Diffusion Tensor Imaging In Vivo Predicts Long-Term Functional Recovery and Histopathology in Rats following Different Severities of Spinal Cord Injury

2016 ◽  
Vol 33 (10) ◽  
pp. 917-928 ◽  
Author(s):  
Samir P. Patel ◽  
Taylor D. Smith ◽  
Jenna L. VanRooyen ◽  
David Powell ◽  
David H. Cox ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Spinal Cord Injury ◽  
Diffusion Tensor Imaging ◽  
Functional Recovery ◽  
Diffusion Tensor ◽  
Cord Injury

In vivo serial diffusion tensor imaging of experimental spinal cord injury

2006 ◽  
Vol 83 (5) ◽  
pp. 801-810 ◽  
Author(s):  
Aparna A. Deo ◽  
Raymond J. Grill ◽  
Khader M. Hasan ◽  
Ponnada A. Narayana
Keyword(s):  
Spinal Cord ◽  
Spinal Cord Injury ◽  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Experimental Spinal Cord Injury ◽  
Cord Injury

scholarly journals A Machine Learning Approach for Specification of Spinal Cord Injuries Using Fractional Anisotropy Values Obtained from Diffusion Tensor Images

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Bunheang Tay ◽  
Jung Keun Hyun ◽  
Sejong Oh
Keyword(s):  
Spinal Cord ◽  
Structural Damage ◽  
Spinal Cord Injuries ◽  
Diffusion Tensor ◽  
Planar Imaging ◽  
Diffusion Tensor Images ◽  
The Central Nervous System ◽  
Extracellular Structures ◽  
Echo Planar

Diffusion Tensor Imaging (DTI) uses in vivo images that describe extracellular structures by measuring the diffusion of water molecules. These images capture axonal movement and orientation using echo-planar imaging and provide critical information for evaluating lesions and structural damage in the central nervous system. This information can be used for prediction of Spinal Cord Injuries (SCIs) and for assessment of patients who are recovering from such injuries. In this paper, we propose a classification scheme for identifying healthy individuals and patients. In the proposed scheme, a dataset is first constructed from DTI images, after which the constructed dataset undergoes feature selection and classification. The experiment results show that the proposed scheme aids in the diagnosis of SCIs.

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