High-Performance Computing in Biomedical ResearchLeading researchers have contributed state-of-the-art chapters to this overview of high-performance computing in biomedical research. The book includes over 30 pages of color illustrations. Some of the important topics featured in the book include the following: |
Contents
Andrew McCulloch Julius Guccione Lewis Waldman and Jack Rogers | 28 |
LargeScale Finite Element Analysis of the Beating Heart | 29 |
V | 37 |
X | 44 |
Chapter 9 | 49 |
Chapter 3 | 51 |
Chapter 5 | 111 |
Chapter 6 | 135 |
Bone Remodeling Around Total Hip Implants | 263 |
Chapter 11 | 289 |
Chapter 12 | 319 |
Chapter 13 | 359 |
Chapter 14 | 403 |
Chapter 15 | 429 |
Chapter 16 | 447 |
Chapter 17 | 465 |
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Common terms and phrases
action potential activation adaptive algorithm analysis anisotropy application approximation axis bidomain cardiac cardiac cycle cardiac muscle cells Circ computational conductivity configuration connected CONTOUR coordinate Cray Cray Y-MP curvilinear curvilinear coordinates curvilinear grid defibrillation defined Delaunay Delaunay triangulation density direction discrete domain electrodes elliptic epicardial potentials equations error example extracellular fiber finite element finite element analysis fluid formulation gap junctions geometry gradients heart IEEE implant integral interface interpolation inverse iteration layer linear lines longitudinal matrix mechanics membrane mesh method msec muscle myocardium natural pixels nodes nonlinear normal normal matrix numerical orthogonal parallel parameters Plate point distribution problem processors propagation quadtree rectangular region server shown in Figure simulations singular value decomposition solution solved space spatial stress structure supercomputers techniques three-dimensional Tikhonov tion tissue torso transmembrane potential transverse triangles unstructured grid values variables vector velocity ventricle ventricular volume conductor voxel wavefront workstation