Mathematical models of real geometrical factors in restricted blood vessels for the analysis of CAD (coronary artery diseases) using Legendre, Boubaker and Bessel polynomials.
Most cardiovascular emergencies are directly caused by coronary artery disease. Coronary arteries can become clogged or occluded, leading to damage to the heart muscle supplied by the artery. Modem cardiovascular medicine can certainly be improved by meticulous analysis of geometrical factors closely associated with the degenerative disease that results in narrowing of the coronary arteries. There are, however, inherent difficulties in developing this type of mathematical models to completely describe the real or ideal geometries that are very critical in plaque formation and thickening of the vessel wall. Neither the mathematical models of the blood vessels with arthrosclerosis generated by the heart and blood flow or the NMR/MRI data to construct them are available. In this study, a mathematical formulation for the geometrical factors that are very critical for the understanding of coronary artery disease is presented. Based on the Bloch NMR flow equations, we derive analytical expressions to describe in detail the NMR transverse magnetizations and signals as a function of some NMR flow and geometrical parameters which are invaluable for the analysis of blood flow in restricted blood vessels. The procedure would apply to the situations in which the geometry of the fatty deposits, (plague) on the interior walls of the coronary arteries is spherical. The boundary conditions are introduced based on Bessel, Boubaker and Legendre polynomials.
Awojoyogbe
O B
OB
Department of Physics, Federal University of Technology, Minna, Niger State, Nigeria.
Faromika
O P
OP
Dada
M
M
Boubaker
Karem
K
Ojambati
O S
OS
D000465:Algorithms; D003324:Coronary Artery Disease / Q000473:pathology* / Q000503:physiopathology; D003326:Coronary Circulation; D003331:Coronary Vessels / Q000473:pathology* / Q000503:physiopathology; D006439:Hemodynamics; D006801:Humans; D009682:Magnetic Resonance Spectroscopy; D015233:Models, Statistical