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 drugs, which reduction clinical analysis and improve remedy for cardiovascular disease.
Organized in a two-part constitution, this quantity offers a accomplished evaluation of computational modeling from either good mechanics and fluid dynamics views. half I deals chapters dedicated to numerous recommendations regarding finite point 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 thoughts in strong mechanics and fluid dynamics. within the former, either diagnostic (i.e., worldwide and local indices of myocardial contractility) in addition to healing techniques (surgical ventricular home improvement strategies, passive ventricular constraint units, ventricular implantation of biomaterials and cardiac resynchronization treatment) are mentioned. within the latter, the fluid mechanics of middle valves is simulated, as are surgeries and center failure-related units within the type of coronary artery skip grafting and ventricular help devices.
Computational Cardiovascular Mechanics is a crucial source for heart problems researchers who are looking to the best way to observe computational fluid and/or strong mechanics to the prognosis and therapy of center failure.
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Extra resources for Computational Cardiovascular Mechanics: Modeling and Applications in Heart Failure
In our example of the infarcted ovine LV, we construct a model of the LV below the aortic and mitral valves. We cannot measure the influence of these valves on the LV in terms of stress, so we instead prescribe displacement boundary conditions that best represent the motion of the LV in this region. Specifically, nodes at the LV base are restricted to displace horizontally, and at the basal epicardial nodes the displacements are constrained in the circumferential direction. These boundary conditions are employed in all of the LV models featured in this book.
16 Multi-material boundary layer mesh of a human heart, consisting of heart tissue created in LaGriT-PNNL and MeshMAGIC blood boundary layer (MeshMAGIC). a and b: Feature size field on the outer surface of the heart tissue domain and the blood domain, respectively. c: Orientation of the cut plane indicated in a. d: Detail of layered tetrahedra generated by input in Fig. 15. e and f: Details of cardiac valves, showing prismatic boundary layer. g–i: Prismatic boundary layer sandwiched between layered tetrahedra tissue and blood magnetic resonance imaging and LV pressure measurements.
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