Automated recognition of the iliac muscle and modeling of muscle fiber direction in torso CT images

2016 ◽  
Author(s):  
N. Kamiya ◽  
X. Zhou ◽  
K. Azuma ◽  
C. Muramatsu ◽  
T. Hara ◽  
...  
Keyword(s):  
Muscle Fiber ◽  
Ct Images ◽  
Fiber Direction ◽  
Automated Recognition

The muscle fiber direction estimation method by the pseudo-unipolar record

2011 ◽  
Author(s):  
Masaki Yoshida ◽  
Yuto Konishi ◽  
Hideo Nakamura ◽  
Takumu Hattori ◽  
Hisao Oka ◽  
...  
Keyword(s):  
Muscle Fiber ◽  
Estimation Method ◽  
Fiber Direction ◽  
Direction Estimation

scholarly journals Combined diffusion and strain tensor MRI reveals a heterogeneous, planar pattern of strain development during isometric muscle contraction

2011 ◽  
Vol 300 (5) ◽  
pp. R1079-R1090 ◽  
Author(s):  
Erin K. Englund ◽  
Christopher P. Elder ◽  
Qing Xu ◽  
Zhaohua Ding ◽  
Bruce M. Damon
Keyword(s):  
Muscle Contraction ◽  
Muscle Fiber ◽  
Diffusion Tensor ◽  
Strain Tensor ◽  
Three Dimensional ◽  
Fiber Direction ◽  
Strain Pattern ◽  
Isometric Muscle Contraction ◽  
Diffusion Tensors

The purposes of this study were to create a three-dimensional representation of strain during isometric contraction in vivo and to interpret it with respect to the muscle fiber direction. Diffusion tensor MRI was used to measure the muscle fiber direction of the tibialis anterior (TA) muscle of seven healthy volunteers. Spatial-tagging MRI was used to measure linear strains in six directions during separate 50% maximal isometric contractions of the TA. The strain tensor (E) was computed in the TA's deep and superficial compartments and compared with the respective diffusion tensors. Diagonalization of E revealed a planar strain pattern, with one nonzero negative strain (εN) and one nonzero positive strain (εP); both strains were larger in magnitude ( P < 0.05) in the deep compartment [εN = −40.4 ± 4.3%, εP = 35.1 ± 3.5% (means ± SE)] than in the superficial compartment (εN = −24.3 ± 3.9%, εP = 6.3 ± 4.9%). The principal shortening direction deviated from the fiber direction by 24.0 ± 1.3° and 39.8 ± 6.1° in the deep and superficial compartments, respectively ( P < 0.05, deep vs. superficial). The deviation of the shortening direction from the fiber direction was due primarily to the lower angle of elevation of the shortening direction over the axial plane than that of the fiber direction. It is concluded that three-dimensional analyses of strain interpreted with respect to the fiber architecture are necessary to characterize skeletal muscle contraction in vivo. The deviation of the principal shortening direction from the fiber direction may relate to intramuscle variations in fiber length and pennation angle.

scholarly journals The Effect of Muscle Fiber Direction on the Cut Surface Angle of Frozen Fish Muscular Tissue Cut by Bending Force.

1996 ◽  
Vol 43 (9) ◽  
pp. 1035-1041 ◽  
Author(s):  
Kiyoshi OKAMOTO ◽  
Yoshio HAGURA ◽  
Kanichi SUZUKI ◽  
Kiyoshi KUBOTA
Keyword(s):  
Muscle Fiber ◽  
Fiber Direction ◽  
Muscular Tissue ◽  
Bending Force ◽  
Frozen Fish ◽  
Cut Surface ◽  
Surface Angle

scholarly journals Soleus muscle weakness in Cerebral Palsy: muscle architecture revealed with Diffusion Tensor Imaging

2018 ◽  
Author(s):  
Annika S. Sahrmann ◽  
Ngaire Susan Stott ◽  
Thor F. Besier ◽  
Justin W. Fernandez ◽  
Geoffrey G. Handsfield
Keyword(s):  
Cerebral Palsy ◽  
Diffusion Tensor Imaging ◽  
Muscle Fiber ◽  
Soleus Muscle ◽  
Fiber Orientation ◽  
Diffusion Tensor ◽  
Muscle Growth ◽  
Fiber Direction ◽  
Cross Sectional ◽  
Limited Range Of Motion

ABSTRACTCerebral palsy (CP) is associated with movement disorders and reduced muscle size. This latter phenomenon has been observed by computing muscle volumes from conventional MRI, with most studies reporting significantly reduced volumes in leg muscles. This indicates impaired muscle growth, but without knowing muscle fiber orientation, it is not clear whether muscle growth in CP is impaired in the along-fiber direction (indicating shortened muscles and limited range of motion) or the cross-fiber direction (indicating weak muscles and impaired strength). Using Diffusion Tensor Imaging (DTI) we can determine muscle fiber orientation and construct 3D muscle architectures to examine along-fiber length and cross-sectional area separately. Such an approach has not been undertaken in CP. Here, we use advanced DTI sequences with fast imaging times to capture fiber orientations in the soleus muscle of children with CP and age-matched, able-bodied controls. Physiological cross sectional areas (PCSA) were reduced (37 ± 11%) in children with CP compared to controls, indicating impaired muscle strength. Along-fiber muscle lengths were not different between groups, but we observed large variance in length within CP group. This study is the first to demonstrate functional strength deficits using DTI and implicates impaired cross-sectional muscle growth in children with cerebral palsy.

Automated recognition of the pericardium contour on processed CT images using genetic algorithms

2017 ◽  
Vol 87 ◽  
pp. 38-45 ◽  
Author(s):  
É.O. Rodrigues ◽  
L.O. Rodrigues ◽  
L.S.N. Oliveira ◽  
A. Conci ◽  
P. Liatsis
Keyword(s):  
Genetic Algorithms ◽  
Ct Images ◽  
Automated Recognition

Automated recognition of the psoas major muscles on X-ray CT images

2009 ◽  
Author(s):  
N. Kamiya ◽  
X. Zhou ◽  
H. Chen ◽  
T. Hara ◽  
H. Hoshi ◽  
...  
Keyword(s):  
Ct Images ◽  
Automated Recognition ◽  
X Ray ◽  
Psoas Major
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