On the use of block matching for the estimation of arterial wall motion

Author(s):  
Spyretta Golemati ◽  
John Stoitsis Konstantina ◽  
S. Nikita
Author(s):  
Pengsrorn Chhai ◽  
Kyehan Rhee

The wall motion of atherosclerotic plaque was analyzed using a computational method, and the effects of tissue viscoelasticity, fibrosis thickness, and lipid-core stiffness on wall displacement waveforms were examined. The viscoelasticity of plaque tissues was modeled using a time Prony series with four Maxwell elements. Computational simulation of tissue indentation tests showed the validity of the proposed viscoelastic constitutive models. Decreasing the relative moduli of the viscoelastic model reduced their viscous characteristics while enhancing the stiffness of the wall, which corresponded with the effects of decreased smooth muscle cells content. A finite-element analysis was conducted for atherosclerotic wall models and wall displacement waveforms were computed. The phase difference between the first harmonics of pressure and displacement waves was selected to represent the time delay of the wall motion. As the relative modulus decreased, the wall displacement and phase lag decreased. A thinner wall and softer lipid core corresponded to a greater wall displacement and smaller phase lag. Because the phase lag of the arterial-wall motion was smaller for the plaque with a thinner cap, lower smooth muscle cells content, and softer lipid core (all features of plaques with high rupture risk), first harmonics of pressure and displacement waves can be used as an index to assess plaque vulnerability.


Author(s):  
Spyretta Golemati ◽  
John Stoitsis ◽  
Konstantina S. Nikita

The estimation of motion of the myocardial and arterial wall is important for the quantification of tissue elasticity and contractility and has gained attention as a determinant of cardiovascular disease. In this chapter, a review is attempted regarding the analysis and quantification of motion within the cardiovascular system from sequences of images. The main sources of cardiovascular wall motion include blood pressure, blood flow and tethering to surrounding tissue. The most commonly applied techniques for cardiovascular motion analysis include feature-based and pixel-based methodologies; the latter further include block matching, optical flow and registration techniques. Two distinct paradigms based on these methodologies are highlighted, namely myocardium and carotid artery wall motion. The current status of research in these areas is reviewed and future research directions are indicated.


2003 ◽  
Vol 29 (3) ◽  
pp. 387-399 ◽  
Author(s):  
Spyretta Golemati ◽  
Antonio Sassano ◽  
M.John Lever ◽  
Anil A. Bharath ◽  
Surinder Dhanjil ◽  
...  

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