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M F Kiani

Publications and source records attributed to M F Kiani.

25 records · Page 2Linked to original sources
PubMed1991

A semi-empirical model of apparent blood viscosity as a function of vessel diameter and discharge hematocrit.

A semi-empirical model is developed to describe the dependence of apparent viscosity of blood on vessel diameter (2.7 to 500 microns) and vessel discharge hematocrit (5% to 60%). The blood flow is modeled as a cell-rich core and a cell-free marginal layer in the larger vessels and an axial-train in the smaller vessels. Laminar (Poiseuille) flow is assumed in all cases. An equation is derived in which apparent viscosity is a function of vessel diameter, core viscosity, and width of marginal layer. This is then complemented by empirical equations in which core viscosity varies exponentially with discharge hematocrit while the width of marginal layer varies linearly with discharge hematocrit. The model correlates well with several sets of experimental data and behaves according to the Fahraeus-Lindqvist effect. Predicted apparent viscosity tends to the expected finite value for large vessel diameters. Dependence of apparent viscosity on vessel diameter is realistically smooth in the whole diameter range.

Blood Vessels↗
PubMed1989

Computer simulation of cerebral microhemodynamics.

Microvascular network hemodynamics was simulated by computer in an anatomically reconstructed cerebral microvascular network. A video microscope system was used for three-dimensional mapping of the vessel network in the rat brain cortex. The complete topology, length and mean diameter of the microvessels were determined. The distribution of blood flow and red cell flux in the network was calculated based on vessel resistance estimated from geometrical data and a rheological model of blood. This model described apparent relative blood viscosity as a function of vessel diameter and local discharge hematocrit. The calculations predicted highly heterogeneous cell flux distribution at any feed hematocrit between 10 and 40 percent. The frequency distribution of microvessel hematocrit was bimodal and included values exceeding the feed hematocrit value. A probabilistic simulation of cell transit resulted in transit time distributions which agree with experimental findings. The most probable transit time and capillary path length and 4s and 300 microns, respectively.

Animals↗
PubMedDate not supplied

A "geographic information systems" based technique for the study of microvascular networks.

An automated system (ANET) has been developed to construct interactive maps of microvascular networks, calculate blood flow parameters, and simulate microvascular network blood flow using the geographic information systems (GIS) technology. ANET enables us to automatically collect and display topological, structural, and functional parameters and simulate blood flow in microvascular networks. The user-definable programming interface was used for the manipulation of drawings and data. Visual enhancement techniques such as color can be used to display useful information within a network. In ANET the network map becomes a graphical interface through which network information is stored and retrieved and simulations of microvascular network blood flow are carried out. We have used ANET to study the effects of ionizing radiation on normal tissue microvascular networks. Our results indicate that while vessel diameters significantly increased with age in control animals they decreased in irradiated animals. The tortuosity of irradiated vessels (16.3+/-1.1 mean+/-standard error of the mean) was significantly different from control vessels (10.0+/-1.3) only at 7 days postirradiation. Average red blood cell transit time was significantly different between control (1.6+/-0.6s) and irradiated (10.7+/-5.7s) microvascular networks at 30 days postirradiation. ANET provides an effective tool for handling the large volume of complex data that is usually obtained in microvascular network studies and for simulating blood flow in microvascular networks.

Animals↗