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
2002 ◽  
Vol 20 (3) ◽  
pp. 243-247 ◽  
Author(s):  
Ibrahim Elshafiey ◽  
Mehmet Bilgen ◽  
Renjie He ◽  
Ponnada A. Narayana

2006 ◽  
Vol 56 (2) ◽  
pp. 446-451 ◽  
Author(s):  
C.A.M. Wheeler-Kingshott ◽  
S.A. Trip ◽  
M.R. Symms ◽  
G.J.M. Parker ◽  
G.J. Barker ◽  
...  

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

Author(s):  
Xiaoming Chen ◽  
Garrett W. Astary ◽  
Thomas H. Mareci ◽  
Malisa Sarntinoranont

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.


2016 ◽  
Vol 57 (12) ◽  
pp. 1531-1539 ◽  
Author(s):  
Peng Zhao ◽  
Chao Kong ◽  
Xueming Chen ◽  
Hua Guan ◽  
Zhenshan Yu ◽  
...  

2016 ◽  
Vol 33 (10) ◽  
pp. 917-928 ◽  
Author(s):  
Samir P. Patel ◽  
Taylor D. Smith ◽  
Jenna L. VanRooyen ◽  
David Powell ◽  
David H. Cox ◽  
...  

2006 ◽  
Vol 83 (5) ◽  
pp. 801-810 ◽  
Author(s):  
Aparna A. Deo ◽  
Raymond J. Grill ◽  
Khader M. Hasan ◽  
Ponnada A. Narayana

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

Author(s):  
Mohammad Koriem Mahmoud Omar ◽  
Abd El-Karem Hasan Abd Allah ◽  
Mona Gouda Maghrabi ◽  
Mohamed Zidan Mohamed

Abstract Background Different lesions affecting the spinal cord can lead to myelopathy. Diffusion tensor imaging (DTI) is widely used to predict the degree of spinal cord microstructure affection and to assess axonal integrity and diffusion directionality. We hypothesized that not all DTI parameters have the same affection with different spinal cord pathologies. The purpose of this study is to assess the value of the quantitative diffusion tensor imaging indices in different spinal cord lesions. Results There is highly statistically significant difference of the fractional anisotropy (FA), relative anisotropy (RA), volume ratio (VR) and secondary eigenvector values (E2 and E3) between various studied cord lesions and control levels. There is no statistically significant difference of the apparent diffusion coefficient (ADC) and the primary eigenvector value (E1) (ANOVA test). The ROC curve analysis showed the higher sensitivity and accuracy were ‘88% and 62.5%, respectively,’ with FA cutoff value about 0.380. Conclusion The resulted quantitative DTI indices ‘fractional anisotropy, relative anisotropy, volume ratio and secondary eigenvalues’ work as a numerical in vivo marker of overall tissue injury in different pathologies affecting the spinal cord.


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