Titlebook: Clinical Application of Computational Mechanics to the Cardiovascular System; Takami Yamaguchi (Professor) Book 2000 Springer Japan 2000 b

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Practice of Risk Management on COVID-19 simulator is explained, and some typical examples of computational results obtained by this system are shown and discussed. The reliability of the simulator is examined by comparing some numerical results with the corresponding results obtained by medical imaging technique.

Psa617

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PANT

LEVER

Automated Tracking of Tagged Magnetic Resonance Image for Assessment of Regional Cardiac Wall Functid was extracted from the original magnetic resonance image using frame subtraction and spatial filters. Orthogonal grid intersections were detected with template matching. The appropriate size of template and spatial filter were automatically determined using two-dimensional Fourier spectrum of the original image.

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Constrain

Error Estimation and Smoothing for Regional Deformation Analysis of the Heart with Tagged Magnetic Rge. It also indicates that a large number of pixels for a grid interval reduce the estimated strain error. A smoothing method is introduced for a small region of interest. An example of smoothing shows a reasonably averaged change in the minimum strain of a cardiac cycle.

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Numerical Simulation and Experiment of Pulsatile Flow in Modeled Aortic Arche of difference in velocity profile between them is discussed. In the numerical calculation for the tapered U-bend, change in secondary flow in the cross-section from inlet to outlet of the bend is shown and behavior of vortex pair is considered.

DAFT

peak-flow

Regulatory Risk in the EU Banking Sector,. In the non-inelastic part of the deformation, the total stress consists of a passive stress and an active stress. The passive stress is expressed by a strain energy density function. The active stress is formulated so as to express a stress development in the muscle direction. Both models describe the mechanical behavior of the arteries well.