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

Blood Flow01:29

Blood Flow

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.
Autoregulation of Blood Flow01:17

Autoregulation of Blood Flow

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.
Chemical Signaling in Autoregulation
Chemical signaling operates at the precapillary sphincter level, inciting either contraction or relaxation.
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...
Applications of Integration to Find Blood Flow01:27

Applications of Integration to Find Blood Flow

Blood flow through a cylindrical blood vessel can be mathematically described using the principles of laminar flow, a regime in which fluid moves smoothly in parallel layers. In this model, the velocity of the blood is not uniform across the cross-section of the vessel; rather, it varies with the radial distance from the center. The maximum velocity occurs along the central axis, decreasing progressively toward the vessel walls, where it reaches zero due to viscous drag.Approximating Blood...

You might also read

Related Articles

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

Sort by
Same author

Engineered CCR2 positive macrophages coordinate immunoregulation with neural regeneration and matrix remodeling after spinal cord injury.

Theranostics·2026
Same author

Non-invasive coronary fractional flow reserve prediction using a neural network with hemodynamic and geometric embeddings: A proof-of-concept study.

Computer methods and programs in biomedicine·2026
Same author

Structural Optimization and Finite Element Analysis of Variable-Stiffness Biodegradable Vascular Stents.

Journal of functional biomaterials·2026
Same author

Real time prediction of instantaneous wave-free ratio based on lumped parameter and neural network models.

Computer methods and programs in biomedicine·2026
Same author

Non-invasive Computational Techniques for Diagnosing Myocardial Ischemia: Challenges and Future of FFR<sub>CT</sub>/iFR<sub>CT</sub>.

Annals of biomedical engineering·2026
Same author

ROS-responsive hydrogels functionalized with Cu/Zn MOF targeting oxidative stress mitigation and inflammation modulation to promote spinal cord injury repair.

Materials today. Bio·2026
Same journal

Interlimb differences in knee joint loading and stress distribution following anterior cruciate ligament reconstruction during stair descent.

Clinical biomechanics (Bristol, Avon)·2026
Same journal

Exploring real-world lumbar posture behaviour. A whole day comparison of individuals with low back pain and healthy controls.

Clinical biomechanics (Bristol, Avon)·2026
Same journal

Motor differences in jumping among children with and without autism spectrum disorder.

Clinical biomechanics (Bristol, Avon)·2026
Same journal

Reduced lower extremity strength, altered muscle activation, and unchanged kinetics during single-leg squatting in males with patellofemoral pain versus pain-free males: A cross-sectional analysis.

Clinical biomechanics (Bristol, Avon)·2026
Same journal

Ensuring bone-to-bone contact reduces interfragmentary strain in forearm shaft plating: A finite element study.

Clinical biomechanics (Bristol, Avon)·2026
Same journal

Acute changes in gait biomechanics in children with cerebral palsy due to barefoot vs. footwear condition - An exploratory study.

Clinical biomechanics (Bristol, Avon)·2026
See all related articles

Related Experiment Video

Updated: May 28, 2026

In Vitro Model of Physiological and Pathological Blood Flow with Application to Investigations of Vascular Cell Remodeling
07:30

In Vitro Model of Physiological and Pathological Blood Flow with Application to Investigations of Vascular Cell Remodeling

Published on: November 3, 2015

Medical application oriented blood flow simulation.

Aike Qiao1, Youjun Liu

  • 1College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100022, China. qak@bjut.edu.cn

Clinical Biomechanics (Bristol, Avon)
|November 21, 2007
PubMed
Summary
This summary is machine-generated.

Computational fluid dynamics simulations reveal insights into blood flow in arteries, aiding in surgical planning for conditions like stenosed arteries and aortic dissection. These methods enhance computer-assisted surgery in biomedical applications.

More Related Videos

Blood Flow Imaging with Ultrafast Doppler
05:57

Blood Flow Imaging with Ultrafast Doppler

Published on: October 14, 2020

Microfluidics in Assessing Platelet Function
06:47

Microfluidics in Assessing Platelet Function

Published on: November 8, 2024

Related Experiment Videos

Last Updated: May 28, 2026

In Vitro Model of Physiological and Pathological Blood Flow with Application to Investigations of Vascular Cell Remodeling
07:30

In Vitro Model of Physiological and Pathological Blood Flow with Application to Investigations of Vascular Cell Remodeling

Published on: November 3, 2015

Blood Flow Imaging with Ultrafast Doppler
05:57

Blood Flow Imaging with Ultrafast Doppler

Published on: October 14, 2020

Microfluidics in Assessing Platelet Function
06:47

Microfluidics in Assessing Platelet Function

Published on: November 8, 2024

Area of Science:

  • Biomedical Engineering
  • Medical Physics

Background:

  • Blood flow dynamics are crucial in cardiovascular health.
  • Understanding hemodynamics aids in treating arterial diseases and planning interventions.

Purpose of the Study:

  • To review numerical simulations of blood flow in arteries using computational fluid dynamics (CFD).
  • To demonstrate the application of CFD in biomedical engineering for various cardiovascular conditions and treatments.

Main Methods:

  • Numerical simulations of blood flow.
  • Analysis of hemodynamics in bypass grafts for stenosed arteries.
  • Modeling of stented aneurysms in the aortic arch.
  • Simulation of bypass treatment for DeBakey III aortic dissection.
  • Investigation of blood flow effects on microwave ablation thermal characteristics.

Main Results:

  • CFD simulations provide detailed hemodynamic insights for complex arterial geometries.
  • The study reviewed various applications, including stenosed arteries, aortic aneurysms, and aortic dissection.
  • Influence of blood flow on thermal characteristics during microwave ablation was analyzed.

Conclusions:

  • Computational fluid dynamics is a powerful tool in biomedical engineering.
  • These simulations support computer-assisted surgery and medical applications.
  • CFD enhances the understanding and treatment of cardiovascular diseases.