By Jonathan F. Wenk, Choon-Sik Jhun, Zhihong Zhang, Kay Sun, Mike Burger, Dan Einstein (auth.), Julius M. Guccione, Ghassan S. Kassab, Mark B. Ratcliffe (eds.)
Computational Cardiovascular Mechanics promotes the appliance of patient-specific cardiovascular mechanics versions to scientific medication, which reduction scientific analysis and increase remedy for cardiovascular disease.
Organized in a two-part constitution, this quantity provides a entire assessment of computational modeling from either reliable mechanics and fluid dynamics views. half I deals chapters dedicated to a number of suggestions regarding finite aspect modeling of ventricular mechanics and computational fluid dynamics, with a spotlight in cardiovascular mechanics. half II covers middle failure purposes which make the most of ideas in sturdy mechanics and fluid dynamics. within the former, either diagnostic (i.e., international and neighborhood indices of myocardial contractility) in addition to healing ways (surgical ventricular home improvement approaches, passive ventricular constraint units, ventricular implantation of biomaterials and cardiac resynchronization remedy) are mentioned. within the latter, the fluid mechanics of center valves is simulated, as are surgeries and middle failure-related units within the kind of coronary artery skip grafting and ventricular support devices.
Computational Cardiovascular Mechanics is a crucial source for heart problems researchers who are looking to the best way to follow computational fluid and/or stable mechanics to the prognosis and remedy of middle failure.
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Additional info for Computational Cardiovascular Mechanics: Modeling and Applications in Heart Failure
Achieving finite element mesh quality via optimization of the Jacobian matrix norm and associated quantities. Part II – A framework for volume mesh optimization. Int J Numer Methods Eng. 2000;48:1165–85. 2. Dyedov V, Einstein DR, Jiao X, Kuprat AP, Carson JP, del Pin F. Variational generation of prismatic boundary-layer meshes for biomedical computing. Int J Numer Methods Eng. 2009, to appear 3. Taylor RL. A mixed-enhanced formulation for tetrahedral finite elements. Int J Numer Methods Eng. 2000;47:205–27.
3aendo /4bendo ). , aendo , bendo , aepi , and bepi ) for a mathematical LV geometry, those values are fed into TrueGrid R to generate a solid 3-D FE mesh. The procedure for generating a mathematical LV mesh is given below: (i) A single block part is created (command: BLOCK) so that each of the six faces can be projected to a different surface to form the mathematical LV geometry (Fig. 2). (ii) The four corners need to be deleted to form the butterfly topology (command: DEI) (Figs. 4). (iii) Two ellipsoidal surfaces, which represent the endocardial and epicardial surfaces, and one plane surface, which is the basal plane, are defined as the projection surfaces for the block part (commands: SD, SFI) (Fig.
Functions of space. The most commonly employed technique for displaying myocardial DTI data is to show only the fiber orientation helix angle (equivalent to the angle of inclination of the primary eigenvector from the cylindrical cardiac short axis plane) in a color-coded map. One area that was a major impetus for the development of cardiac DTI, and where the technique has been soon applied, is in the so-called “morphologically-accurate” or specimen-specific modeling of myocardial physiology, including biomechanics  and electrophysiology .