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

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...
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.
Imaging Studies VII: Vascular Imaging01:19

Imaging Studies VII: Vascular Imaging

DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...
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.

You might also read

Related Articles

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

Sort by
Same author

Association of Hemodynamic Disease Severity and Distribution With Risk of Future Acute Coronary Syndrome.

JACC. Cardiovascular imaging·2026
Same author

Biomechanical index for predicting the risk of acute coronary syndrome.

Frontiers in cardiovascular medicine·2026
Same author

Anatomical vs Physiological Lesion Characteristics in Prediction of Acute Coronary Syndrome.

JACC. Cardiovascular interventions·2025
Same author

Percentage of left ventricular myocardial blood flow distribution and revascularization completeness in FASTTRACK CABG.

Journal of cardiovascular computed tomography·2025
Same author

Prognostic Time Frame of Plaque and Hemodynamic Characteristics and Integrative Risk Prediction for Acute Coronary Syndrome.

JACC. Cardiovascular imaging·2025
Same author

Predictors for Vulnerable Plaque in Functionally Significant Lesions.

JACC. Cardiovascular imaging·2024

Related Experiment Video

Updated: May 27, 2026

Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro
08:00

Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro

Published on: December 3, 2018

Virtual Interventions for Image-based Blood Flow Computation.

Guanglei Xiong1, Gilwoo Choi, Charles A Taylor

  • 1Biomedical Informatics Program, Stanford University, Stanford, CA 94305, USA.

Computer Aided Design
|November 29, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces virtual stent deployment methods for patient-specific vascular models, enabling faster surgical planning. These geometric techniques facilitate prospective analysis for improved vascular device evaluation and surgical assessment.

More Related Videos

Particle Image Velocimetry Investigation of Hemodynamics via Aortic Phantom
06:26

Particle Image Velocimetry Investigation of Hemodynamics via Aortic Phantom

Published on: February 25, 2022

A Novel Approach to Overcome Movement Artifact When Using a Laser Speckle Contrast Imaging System for Alternating Speeds of Blood Microcirculation
07:20

A Novel Approach to Overcome Movement Artifact When Using a Laser Speckle Contrast Imaging System for Alternating Speeds of Blood Microcirculation

Published on: August 30, 2017

Related Experiment Videos

Last Updated: May 27, 2026

Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro
08:00

Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro

Published on: December 3, 2018

Particle Image Velocimetry Investigation of Hemodynamics via Aortic Phantom
06:26

Particle Image Velocimetry Investigation of Hemodynamics via Aortic Phantom

Published on: February 25, 2022

A Novel Approach to Overcome Movement Artifact When Using a Laser Speckle Contrast Imaging System for Alternating Speeds of Blood Microcirculation
07:20

A Novel Approach to Overcome Movement Artifact When Using a Laser Speckle Contrast Imaging System for Alternating Speeds of Blood Microcirculation

Published on: August 30, 2017

Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Computational Fluid Dynamics

Background:

  • Image-based blood flow computation is crucial for evaluating vascular devices and surgical procedures.
  • Existing methods often use idealized models or patient-specific models post-deployment due to limited construction tools.
  • There's a need for prospective analysis and virtual surgical planning.

Purpose of the Study:

  • To develop novel geometric methods for virtual deployment of stents and stent grafts.
  • To enable fast, virtual, and interactive construction of patient-specific vascular models with deployed devices.
  • To support prospective surgical planning using medical image data.

Main Methods:

  • Extracting triangular surface models of vessel lumen boundaries from 3D image segmentations.
  • Virtually deploying devices by clipping diseased sections or rerouting for bypass grafts.
  • Generating bifurcated device models and mapping 2D strut patterns onto device surfaces.

Main Results:

  • Demonstrated applications in personalized surgical planning for aortic aneurysms, aortic coarctation, and coronary artery stenosis.
  • Successfully enabled prospective model construction for vascular interventions.
  • Validated the geometric methods for virtual device deployment.

Conclusions:

  • The developed geometric methods allow for rapid, virtual construction of patient-specific vascular models with deployed devices.
  • This approach supports prospective surgical planning and may increase clinical throughput.
  • Facilitates enhanced evaluation of vascular devices and surgical procedures.