scholarly journals Heart-muscle fiber reconstruction from diffusion tensor MRI

2004 ◽  
Author(s):  
L. Zhukov ◽  
A.H. Barr
Keyword(s):  
Muscle Fiber ◽  
Heart Muscle ◽  
Diffusion Tensor ◽  
Diffusion Tensor Mri

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

scholarly journals Diffusion-tensor MRI-based skeletal muscle fiber tracking

2011 ◽  
Vol 3 (6) ◽  
pp. 675-687 ◽  
Author(s):  
Bruce M Damon ◽  
Amanda KW Buck ◽  
Zhaohua Ding
Keyword(s):  
Skeletal Muscle ◽  
Muscle Fiber ◽  
Diffusion Tensor ◽  
Fiber Tracking ◽  
Skeletal Muscle Fiber ◽  
Diffusion Tensor Mri

scholarly journals Relationship between fractional anisotropy and neuropsychological evaluation in sports-related concussion

Neurology ◽  
2018 ◽  
Vol 91 (23 Supplement 1) ◽  
pp. S17.1-S17
Author(s):  
Haruo Nakayama ◽  
Yu Hiramoto ◽  
Yuriko Numata ◽  
Satoshi Fujita ◽  
Nozomi Hirai ◽  
...  
Keyword(s):  
Processing Speed ◽  
Corticospinal Tract ◽  
Diffusion Tensor ◽  
Neuropsychological Testing ◽  
Diffusion Tensor Mri ◽  
Neuropsychological Evaluation ◽  
Neuropsychological Function ◽  
Significant Fluctuation ◽  
The Relationship ◽  
The Brain

ObjectiveTo evaluate the relationship between functional anisotropy (FA) and neuropsychological evaluation in concussion.MethodsDiffusion tensor MRI included FA of the Brain and neuropsychological evaluation were conducted on 10 patients with concussion who were diagnosed from April 2017 to March 2018. FA was extracted from 2 regions of interest in Corpus callosum (CC) and corticospinal tract (CT). Detailed neuropsychological testing with an emphasis on Working memory (WM) and Processing speed (PS) was also conducted. The FA value in that 2 regions were compared between the 2 groups of 5 patients (group F) who failed either in WM or PS and 5 cases (group NF) who did not admit it.ResultsMean FA values in CC and CT in the Group F were 0.70 and 0.52. Mean FA values in CC and CT in the Group NF were 0.48 and 0.55.ConclusionsOur result suggests that the FA value of CC did not explain the significant fluctuation of the neuropsychological function. However, FA value in CT were shown to explain the fluctuation of WM and PS.

Potential of diffusion tensor MRI in the assessment of periventricular leukomalacia

2006 ◽  
Vol 61 (4) ◽  
pp. 358-364 ◽  
Author(s):  
G.G. Fan ◽  
B. Yu ◽  
S.M. Quan ◽  
B.H. Sun ◽  
Q.Y. Guo
Keyword(s):  
Diffusion Tensor ◽  
Periventricular Leukomalacia ◽  
Diffusion Tensor Mri

Independent component analysis applied to diffusion tensor MRI

2002 ◽  
Vol 47 (2) ◽  
pp. 354-363 ◽  
Author(s):  
Konstantinos Arfanakis ◽  
Dietmar Cordes ◽  
Victor M. Haughton ◽  
John D. Carew ◽  
M. Elizabeth Meyerand
Keyword(s):  
Independent Component Analysis ◽  
Diffusion Tensor ◽  
Component Analysis ◽  
Independent Component ◽  
Diffusion Tensor Mri

scholarly journals Poor agreement between ultrasound and inbuilt diffusion tensor MRI measures of biceps femoris long head fascicle length

2018 ◽  
Vol 2 (2) ◽  
pp. 58-63 ◽  
Author(s):  
Fearghal P. Behan ◽  
Robin Vermeulen ◽  
Tessa Smith ◽  
Javier Arnaiz ◽  
Rodney Whiteley ◽  
...  
Keyword(s):  
Diffusion Tensor ◽  
Biceps Femoris ◽  
Diffusion Tensor Mri ◽  
Poor Agreement ◽  
Fascicle Length ◽  
Long Head ◽  
Biceps Femoris Long Head

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.

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