Evaluation of Diffusion Tensor Imaging and Fiber Tractography of the Median Nerve: Preliminary Results on Intrasubject Variability and Precision of Measurements

2010 ◽  
Vol 194 (1) ◽  
pp. W65-W72 ◽  
Author(s):  
Gustav Andreisek ◽  
Lawrence M. White ◽  
Andrea Kassner ◽  
Marshall S. Sussman
Keyword(s):  
Diffusion Tensor Imaging ◽  
Median Nerve ◽  
Diffusion Tensor ◽  
Fiber Tractography ◽  
Intrasubject Variability ◽  
Preliminary Results

scholarly journals Diffusion tensor imaging and fiber tractography of the median nerve at 1.5T: optimization of b value

2008 ◽  
Vol 38 (1) ◽  
pp. 51-59 ◽  
Author(s):  
Gustav Andreisek ◽  
Lawrence M. White ◽  
Andrea Kassner ◽  
George Tomlinson ◽  
Marshall S. Sussman
Keyword(s):  
Diffusion Tensor Imaging ◽  
Median Nerve ◽  
Diffusion Tensor ◽  
B Value ◽  
Fiber Tractography

MR neurography of the median nerve at 3.0T: Optimization of diffusion tensor imaging and fiber tractography

2012 ◽  
Vol 81 (7) ◽  
pp. e775-e782 ◽  
Author(s):  
Roman Guggenberger ◽  
Patrick Eppenberger ◽  
Daniel Markovic ◽  
Daniel Nanz ◽  
Avneesh Chhabra ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Median Nerve ◽  
Diffusion Tensor ◽  
Fiber Tractography ◽  
Mr Neurography

Diffusion tensor imaging and fiber tractography in cervical compressive myelopathy: preliminary results

2011 ◽  
Vol 40 (12) ◽  
pp. 1543-1551 ◽  
Author(s):  
Joon Woo Lee ◽  
Jae Hyoung Kim ◽  
Jong Bin Park ◽  
Kun Woo Park ◽  
Jin S. Yeom ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Fiber Tractography ◽  
Preliminary Results ◽  
Cervical Compressive Myelopathy ◽  
Compressive Myelopathy

Diffusion tensor imaging and tractography of the median nerve in carpal tunnel syndrome: preliminary results

2008 ◽  
Vol 18 (10) ◽  
pp. 2283-2291 ◽  
Author(s):  
C. Khalil ◽  
C. Hancart ◽  
V. Le Thuc ◽  
C. Chantelot ◽  
D. Chechin ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Carpal Tunnel Syndrome ◽  
Median Nerve ◽  
Carpal Tunnel ◽  
Diffusion Tensor ◽  
Preliminary Results ◽  
Tunnel Syndrome

scholarly journals Meyer’s Loop Anatomy Demonstrated Using Diffusion Tensor MR Imaging and Fiber Tractography at 3T

2014 ◽  
Vol 60 (5) ◽  
pp. 215-222 ◽  
Author(s):  
Cristina Goga ◽  
Zeynep Firat ◽  
Klara Brinzaniuc ◽  
Is Florian
Keyword(s):  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Region Of Interest ◽  
Fiber Tractography ◽  
Brain Images ◽  
3 Dimensional ◽  
Software Release ◽  
Magnetic Resonance Imaging Mri ◽  
Meyer’S Loop

Abstract Objective: The ultimate anatomy of the Meyer’s loop continues to elude us. Diffusion tensor imaging (DTI) and diffusion tensor tractography (DTT) may be able to demonstrate, in vivo, the anatomy of the complex network of white matter fibers surrounding the Meyer’s loop and the optic radiations. This study aims at exploring the anatomy of the Meyer’s loop by using DTI and fiber tractography. Methods: Ten healthy subjects underwent magnetic resonance imaging (MRI) with DTI at 3 T. Using a region-of-interest (ROI) based diffusion tensor imaging and fiber tracking software (Release 2.6, Achieva, Philips), sequential ROI were placed to reconstruct visual fibers and neighboring projection fibers involved in the formation of Meyer’s loop. The 3-dimensional (3D) reconstructed fibers were visualized by superimposition on 3-planar MRI brain images to enhance their precise anatomical localization and relationship with other anatomical structures. Results: Several projection fiber including the optic radiation, occipitopontine/parietopontine fibers and posterior thalamic peduncle participated in the formation of Meyer’s loop. Two patterns of angulation of the Meyer’s loop were found. Conclusions: DTI with DTT provides a complimentary, in vivo, method to study the details of the anatomy of the Meyer’s loop.

scholarly journals Diffusion Tensor Imaging and Fiber Tractography in Children with Craniosynostosis Syndromes

2015 ◽  
Vol 36 (8) ◽  
pp. 1558-1564 ◽  
Author(s):  
B.F.M. Rijken ◽  
A. Leemans ◽  
Y. Lucas ◽  
K. van Montfort ◽  
I.M.J. Mathijssen ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Fiber Tractography

Human Brain Diffusion Tensor Imaging Visualization With Virtual Reality

2010 ◽  
Author(s):  
Bin Chen ◽  
John Moreland
Keyword(s):  
Virtual Reality ◽  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Diffusion Tensor ◽  
Biological Tissues ◽  
Head Tracking ◽  
Fiber Tractography ◽  
Brain White Matter ◽  
Diffusion Tensors ◽  
Visualization Techniques

Magnetic resonance diffusion tensor imaging (DTI) is sensitive to the anisotropic diffusion of water exerted by its macromolecular environment and has been shown useful in characterizing structures of ordered tissues such as the brain white matter, myocardium, and cartilage. The water diffusivity inside of biological tissues is characterized by the diffusion tensor, a rank-2 symmetrical 3×3 matrix, which consists of six independent variables. The diffusion tensor contains much information of diffusion anisotropy. However, it is difficult to perceive the characteristics of diffusion tensors by looking at the tensor elements even with the aid of traditional three dimensional visualization techniques. There is a need to fully explore the important characteristics of diffusion tensors in a straightforward and quantitative way. In this study, a virtual reality (VR) based MR DTI visualization with high resolution anatomical image segmentation and registration, ROI definition and neuronal white matter fiber tractography visualization and fMRI activation map integration is proposed. The VR application will utilize brain image visualization techniques including surface, volume, streamline and streamtube rendering, and use head tracking and wand for navigation and interaction, the application will allow the user to switch between different modalities and visualization techniques, as well making point and choose queries. The main purpose of the application is for basic research and clinical applications with quantitative and accurate measurements to depict the diffusivity or the degree of anisotropy derived from the diffusion tensor.

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
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