scholarly journals Tongue muscle fiber tracking during rest and tongue protrusion with oral appliances: A preliminary study with diffusion tensor imaging

2008 ◽  
Vol 29 (4) ◽  
pp. 291-294 ◽  
Author(s):  
Hideo Shinagawa ◽  
Emi Z. Murano ◽  
Jiachen Zhuo ◽  
Bennett Landman ◽  
Rao P. Gullapalli ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Muscle Fiber ◽  
Diffusion Tensor ◽  
Fiber Tracking ◽  
Oral Appliances ◽  
Tongue Protrusion ◽  
Tongue Muscle ◽  
Preliminary Study

Tongue muscle fiber tracking during tongue protrusion and rest

2006 ◽  
Vol 120 (5) ◽  
pp. 3354-3354
Author(s):  
Hideo Shinagawa ◽  
Emi Z. Murano ◽  
Jiachen Zhuo ◽  
Rao P. Gullapalli ◽  
Bennett Landman ◽  
...  
Keyword(s):  
Muscle Fiber ◽  
Fiber Tracking ◽  
Tongue Protrusion ◽  
Tongue Muscle

Intraspinal Tumors: The Value of Diffusion Tensor Imaging (DTI) and Tractography: A Preliminary Study

2018 ◽  
Author(s):  
F. Cartes-Zumelzu ◽  
S. Ingorokva ◽  
H. Kostron ◽  
G. Feuchtner ◽  
C. Kremser ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Preliminary Study ◽  
Diffusion Tensor Imaging Dti

scholarly journals Quantitative diffusion tensor MRI-based fiber tracking of human skeletal muscle

2007 ◽  
Vol 103 (2) ◽  
pp. 673-681 ◽  
Author(s):  
Drew A. Lansdown ◽  
Zhaohua Ding ◽  
Megan Wadington ◽  
Jennifer L. Hornberger ◽  
Bruce M. Damon
Keyword(s):  
Muscle Fiber ◽  
Diffusion Tensor ◽  
Fiber Tracking ◽  
Laboratory Frame ◽  
Mean Value ◽  
Pennation Angle ◽  
Frame Of Reference ◽  
Fiber Tracts ◽  
Angle Measurements ◽  
The Mean

Diffusion-tensor magnetic resonance imaging (DT-MRI) offers great potential for understanding structure-function relationships in human skeletal muscles. The purposes of this study were to demonstrate the feasibility of using in vivo human DT-MRI fiber tracking data for making pennation angle measurements and to test the hypothesis that heterogeneity in the orientation of the tibialis anterior (TA) muscle's aponeurosis would lead to heterogeneity in pennation angle. Eight healthy subjects (5 male) were studied. T1-weighted anatomical MRI and DT-MRI data were acquired of the TA muscle. Fibers were tracked from the TA's aponeurosis by following the principal eigenvector. The orientations of the aponeurosis and muscle fiber tracts in the laboratory frame of reference and the orientation of the fiber tracts with respect to the aponeurosis [i.e., the pennation angle (θ)] were determined. The muscle fiber orientations, when expressed relative to the laboratory frame of reference, did not change as functions of superior-to-inferior position. The sagittal and coronal orientations of the aponeurosis did not change in practically significant manners either, but the aponeurosis′ axial orientation changed by ∼40°. As a result, the mean value for θ decreased from 16.3 (SD 6.9) to 11.4° (SD 5.0) along the muscle's superior-to-inferior direction. The mean value of θ was greater in the deep than in the superficial compartment. We conclude that pennation angle measurements of human muscle made using DT-MRI muscle fiber tracking are feasible and reveal that in the foot-head direction, there is heterogeneity in the pennation properties of the human TA muscle.

A preliminary study of 3.0-T magnetic resonance diffusion tensor imaging in cervical spondylotic myelopathy

2018 ◽  
Vol 27 (8) ◽  
pp. 1839-1845 ◽  
Author(s):  
Fulong Dong ◽  
Yuanyuan Wu ◽  
Peiwen Song ◽  
Yinfeng Qian ◽  
Ying Wang ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Magnetic Resonance ◽  
Cervical Spondylotic Myelopathy ◽  
Diffusion Tensor ◽  
3.0 T ◽  
Preliminary Study

scholarly journals Reliability of fiber tracking measurements in diffusion tensor imaging for longitudinal study

NeuroImage ◽  
2010 ◽  
Vol 49 (2) ◽  
pp. 1572-1580 ◽  
Author(s):  
Laura E. Danielian ◽  
Nobue K. Iwata ◽  
David M. Thomasson ◽  
Mary Kay Floeter
Keyword(s):  
Diffusion Tensor Imaging ◽  
Longitudinal Study ◽  
Diffusion Tensor ◽  
Fiber Tracking

scholarly journals In vivo visualization of the facial nerve in patients with acoustic neuroma using diffusion tensor imaging–based fiber tracking

2016 ◽  
Vol 125 (4) ◽  
pp. 787-794 ◽  
Author(s):  
Fei Song ◽  
Yuanzheng Hou ◽  
Guochen Sun ◽  
Xiaolei Chen ◽  
Bainan Xu ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Facial Nerve ◽  
Acoustic Neuroma ◽  
Diffusion Tensor ◽  
Fiber Tracking ◽  
Vestibular Nerve ◽  
Preoperative Imaging ◽  
Electrophysiological Monitoring ◽  
Exact Position

OBJECTIVE Preoperative determination of the facial nerve (FN) course is essential to preserving its function. Neither regular preoperative imaging examination nor intraoperative electrophysiological monitoring is able to determine the exact position of the FN. The diffusion tensor imaging–based fiber tracking (DTI-FT) technique has been widely used for the preoperative noninvasive visualization of the neural fasciculus in the white matter of brain. However, further studies are required to establish its role in the preoperative visualization of the FN in acoustic neuroma surgery. The object of this study is to evaluate the feasibility of using DTI-FT to visualize the FN. METHODS Data from 15 patients with acoustic neuromas were collected using 3-T MRI. The visualized FN course and its position relative to the tumors were determined using DTI-FT with 3D Slicer software. The preoperative visualization results of FN tracking were verified using microscopic observation and electrophysiological monitoring during microsurgery. RESULTS Preoperative visualization of the FN using DTI-FT was observed in 93.3% of the patients. However, in 92.9% of the patients, the FN visualization results were consistent with the actual surgery. CONCLUSIONS DTI-FT, in combination with intraoperative FN electrophysiological monitoring, demonstrated improved FN preservation in patients with acoustic neuroma. FN visualization mainly included the facial-vestibular nerve complex of the FN and vestibular nerve.

scholarly journals Validation of diffusion tensor MRI-based muscle fiber tracking

2002 ◽  
Vol 48 (1) ◽  
pp. 97-104 ◽  
Author(s):  
Bruce M. Damon ◽  
Zhaohua Ding ◽  
Adam W. Anderson ◽  
Andrea S. Freyer ◽  
John C. Gore
Keyword(s):  
Muscle Fiber ◽  
Diffusion Tensor ◽  
Fiber Tracking ◽  
Diffusion Tensor Mri
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