Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models

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...
Typical Model Studies01:30

Typical Model Studies

Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
Anatomy of the Circulatory System02:03

Anatomy of the Circulatory System

The human circulatory system consists of blood, blood vessels that carry blood away from the heart, around the body, and back to the heart, and the heart itself, which acts as a central pump. The systemic circuit supplies blood to the whole body, the coronary circuit supplies blood to the heart, and the pulmonary circuit supplies blood flow between the heart and lungs.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Diverse Data Sets Can Yield Reliable Information through Mechanistic Modeling: Salicylic Acid Clearance.

British journal of pharmaceutical research·2016
Same author

Left ventricular finite element model bounded by a systemic circulation model.

Journal of biomechanical engineering·2013
Same author

BIFURCATING DISTRIBUTIVE SYSTEM USING MONTE CARLO METHOD.

Mathematical and computer modelling·2012
Same author

Evaluating maximum likelihood estimation methods to determine the Hurst coeficient.

Physica A·2012
Same author

The spectra and periodograms of anti-correlated discrete fractional Gaussian noise.

Physica A·2012
Same author

The kinetics of Ca-Na exchange in excitable tissue.

Mathematical biosciences·2011

Related Experiment Video

Updated: May 31, 2026

In Silico Clinical Trials for Cardiovascular Disease
09:09

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

COMPUTER GRAPHICS IN SIMULATION OF CARDIOVASCULAR TRANSPORT PHENOMENA.

P M Sidell1, D U Anderson, T J Knopp

  • 1Mayo Clinic, Department of Physiology and Biophysics, Rochester, Minnesota 55901.

Computers & Graphics
|September 28, 2011
PubMed
Summary
This summary is machine-generated.

Computer graphics enhance understanding of complex cardiovascular transport simulations. Visualizations, including motion pictures, aid comprehension and teaching of physiological transport processes.

More Related Videos

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
13:07

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Published on: January 15, 2022

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
09:20

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Published on: February 13, 2021

Related Experiment Videos

Last Updated: May 31, 2026

In Silico Clinical Trials for Cardiovascular Disease
09:09

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
13:07

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Published on: January 15, 2022

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
09:20

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Published on: February 13, 2021

Area of Science:

  • Cardiovascular physiology
  • Computational modeling
  • Scientific visualization

Background:

  • Cardiovascular transport phenomena are complex and difficult to fully grasp through equations alone.
  • Traditional graphic representations can be cumbersome for sophisticated mathematical models.

Purpose of the Study:

  • To explore the use of computer graphics for enhancing simulations of cardiovascular transport.
  • To improve investigator interaction with and comprehension of complex physiological models.

Main Methods:

  • Utilizing various types of graphics, including 2-, 3-, and 4-dimensional displays.
  • Developing generalized methods and algorithms for broad application.
  • Generating motion pictures of sequential model solutions.

Main Results:

  • Graphic representation facilitates interaction with simulations and clarifies model-system relationships.
  • Advanced visualization techniques simplify complex cardiovascular transport models.
  • Motion pictures accelerate model comprehension and serve as valuable teaching tools.

Conclusions:

  • Computer graphics are essential for understanding complex cardiovascular transport simulations.
  • Advanced visualization methods improve the accessibility and utility of physiological transport models.
  • Interactive and dynamic graphical representations enhance both research and education in cardiovascular science.