scholarly journals Three-dimensional regional strain computation method with displacement encoding with stimulated echoes (DENSE) in non-ischemic, non-valvular dilated cardiomyopathy patients and healthy subjects validated by tagged MRI

2014 ◽  
Vol 41 (2) ◽  
pp. 386-396 ◽  
Author(s):  
Julia Kar ◽  
Andrew K. Knutsen ◽  
Brian P. Cupps ◽  
Xiaodong Zhong ◽  
Michael K. Pasque
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kiyoshi Masuyama ◽  
Tomoaki Higo ◽  
Jong-Kook Lee ◽  
Ryohei Matsuura ◽  
Ian Jones ◽  
...  

AbstractIn contrast to hypertrophic cardiomyopathy, there has been reported no specific pattern of cardiomyocyte array in dilated cardiomyopathy (DCM), partially because lack of alignment assessment in a three-dimensional (3D) manner. Here we have established a novel method to evaluate cardiomyocyte alignment in 3D using intravital heart imaging and demonstrated homogeneous alignment in DCM mice. Whilst cardiomyocytes of control mice changed their alignment by every layer in 3D and position twistedly even in a single layer, termed myocyte twist, cardiomyocytes of DCM mice aligned homogeneously both in two-dimensional (2D) and in 3D and lost myocyte twist. Manipulation of cultured cardiomyocyte toward homogeneously aligned increased their contractility, suggesting that homogeneous alignment in DCM mice is due to a sort of alignment remodelling as a way to compensate cardiac dysfunction. Our findings provide the first intravital evidence of cardiomyocyte alignment and will bring new insights into understanding the mechanism of heart failure.


2011 ◽  
Vol 57 (14) ◽  
pp. E754 ◽  
Author(s):  
Maria Cristina Donadio Abduch ◽  
Ivan Salgo ◽  
Wendy Tsang ◽  
Kevin Appareti ◽  
William Ackerman ◽  
...  

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Guoliang Xu ◽  
Xia Wang ◽  
Ming Li ◽  
Zhucui Jing

AbstractWe present an efficient and reliable algorithm for determining the orientations of noisy images obtained fromprojections of a three-dimensional object. Based on the linear relationship among the common line vectors in one image plane, we construct a sparse matrix, and show that the coordinates of the common line vectors are the eigenvectors of the matrix with respect to the eigenvalue 1. The projection directions and in-plane rotation angles can be determined fromthese coordinates. A robust computation method of common lines in the real space using aweighted cross-correlation function is proposed to increase the robustness of the algorithm against the noise. A small number of good leading images, which have the maximal dissimilarity, are used to increase the reliability of orientations and improve the efficiency for determining the orientations of all the images. Numerical experiments show that the proposed algorithm is effective and efficient.


2017 ◽  
Vol 81 (4) ◽  
pp. 529-536 ◽  
Author(s):  
Krunoslav Michael Sveric ◽  
Stefan Ulbrich ◽  
Mohamed Rady ◽  
Tobias Ruf ◽  
Heda Kvakan ◽  
...  

2019 ◽  
Vol 32 (2) ◽  
Author(s):  
Catharina S. Jonge ◽  
André M. J. Sprengers ◽  
Kyra L. Rijn ◽  
Aart J. Nederveen ◽  
Jaap Stoker
Keyword(s):  

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Hongcai Ma ◽  
Yunxiang Bai ◽  
Aiping Deng

In this paper, we investigate multiple lump wave solutions of the new (4+1)-dimensional Fokas equation by adopting a symbolic computation method. We get its 1-lump solutions, 3-lump solutions, and 6-lump solutions by using its bilinear form. Moreover, some basic characters and structural features of multiple lump waves are explained by depicting the three-dimensional plots.


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