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Blood Flow01:29

Blood Flow

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Blood is pumped by the heart into the aorta, the largest artery in the body, and then into increasingly smaller arteries, arterioles, and capillaries. The velocity of blood flow decreases with increased cross-sectional blood vessel area. As blood returns to the heart through venules and veins, its velocity increases. The movement of blood is encouraged by smooth muscle in the vessel walls, the movement of skeletal muscle surrounding the vessels, and one-way valves that prevent backflow.
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Regulation of Stroke Volume01:27

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The regulation of stroke volume, which is the amount of blood the heart pumps out during each heartbeat, is critical for maintaining a healthy circulatory system. Stroke volume is influenced by three main factors: preload, contractility, and afterload.
Preload refers to the degree of stretch on the heart before it contracts. It's analogous to the stretching of a rubber band; the more it's stretched, the more forcefully it snaps back. This concept is encapsulated in the Frank-Starling law of the...
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Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

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Physiological pharmacokinetic models, often called flow-limited or perfusion models, typically assume a swift drug distribution between tissue and venous blood, creating a rapid drug equilibrium. This premise is based on the idea that drug diffusion is extremely fast, and the cell membrane presents no barrier to drug permeation. In this scenario, where no drug binding occurs, the drug concentration in the tissue equals that of the venous blood leaving the tissue. This greatly simplifies the...
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Cardiac Output II: Effect of Stroke Volume on Cardiac Output01:22

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Cardiac output (CO), the amount of blood the heart pumps per minute, is a parameter in cardiovascular physiology determined by stroke volume and heart rate. Stroke volume, the amount of blood pushed from one of the ventricles per heartbeat, is influenced by preload, afterload, and contractility.
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Preload refers to the initial elongation of the cardiac myocytes before contraction and is related to the volume of blood filling the heart at the end of diastole, or end-diastolic volume. The...
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Cardiac Output and Stroke Volume01:11

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Cardiac output (CO) is an integral aspect of human physiology, reflecting the heart's efficiency and responsiveness to the body's needs. It represents the volume of blood that the left or right ventricle ejects into the aorta or pulmonary trunk each minute. The CO is calculated by multiplying the heart rate (HR)—the number of heartbeats per minute—by the stroke volume (SV)—the amount of blood pumped out with each heartbeat.
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Autoregulation of Blood Flow01:17

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Autoregulation mechanisms are characterized by their inherent capacity for self-regulation without necessitating specific nervous stimulation or endocrine control. These mechanisms facilitate the adjustment of blood flow and, therefore, perfusion specific to each tissue region. This self-regulation encompasses chemical signals and myogenic controls.
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A Blood Flow Modeling Framework for Stroke Treatments.

Remy Petkantchin1, Franck Raynaud1, Karim Zouaoui Boudjeltia2

  • 1Scientific and Parallel Computing Group, Computer Science Department, University of Geneva, Carouge, Switzerland.

Methods in Molecular Biology (Clifton, N.J.)
|September 13, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a validated, open-source lattice-Boltzmann framework to model hemodynamics in cerebrovascular diseases like stroke. The tool simplifies simulating porous media and pressure conditions, aiding research into stroke treatment.

Keywords:
Computational fluid dynamicsLattice-BoltzmannMesoscopic modelingPartial bounce-backPorous mediaStroke treatment

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Area of Science:

  • Computational fluid dynamics
  • Biomedical engineering
  • Medical physics

Background:

  • Stroke presents a significant societal burden, necessitating advanced computational models for research.
  • Accurate simulation of hemodynamics and porous media is crucial for understanding stroke pathology.
  • Existing numerical models often lack flexibility or ease of use for complex cerebrovascular conditions.

Purpose of the Study:

  • To present a validated, open-source lattice-Boltzmann numerical framework for simulating hemodynamics relevant to stroke.
  • To introduce a novel algorithm for imposing pressure boundary conditions in such models.
  • To demonstrate the simulation of porous media permeability using established methods.

Main Methods:

  • Development of a flexible and publicly available lattice-Boltzmann numerical framework.
  • Implementation of an algorithm for pressure boundary condition application.
  • Integration of a method to simulate porous media permeability based on Walsh et al. (2009).

Main Results:

  • The proposed framework is validated and shown to be flexible for complex simulations.
  • The implemented pressure boundary condition algorithm is effective.
  • The method for simulating porous media permeability is successfully demonstrated within the framework.

Conclusions:

  • The open-source lattice-Boltzmann framework offers a valuable tool for cerebrovascular research, particularly for stroke.
  • The framework facilitates the simulation of critical hemodynamic conditions and porous media properties.
  • This work advances the development of computational models for investigating stroke and potential therapeutic interventions like thrombolysis.