Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Methods of Medium Optimization

Methods of Medium Optimization

Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...

Coronary Artery Disease V: Interprofessional Care

Coronary Artery Disease V: Interprofessional Care

Interprofessional care for coronary artery disease includes pharmacological therapy and revascularization procedures.Pharmacological therapy for Coronary Artery Disease (CAD) aims to manage symptoms, prevent complications, and improve patient outcomes through various classes of medications:Antiplatelet Agents:Aspirin and Clopidogrel: These medications inhibit platelet aggregation, preventing blood clots, which is crucial for avoiding heart attacks and strokes. Doctors often prescribe these...

Mitral Stenosis III: Medical Management

Mitral Stenosis III: Medical Management

Mitral stenosis, a condition marked by the narrowing of the mitral valve, necessitates an integrated approach for effective management. This approach includes preventative measures, medical therapy, and surgical interventions to reduce symptoms and prevent complications.PreventionPrevention of mitral stenosis primarily focuses on reducing the incidence of bacterial infections, particularly streptococcal infections, which can lead to rheumatic fever and subsequent valvular damage. Timely...

You might also read

Related Articles

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

Sort by

Same author

Integrating serial block-face SEM with voxel-based finite element analysis for high-fidelity micromechanical modelling of anisotropic soft tissues: application to human dermis.

Biomechanics and modeling in mechanobiology·2026

Same author

Effects of gamma sterilisation on dissipation mechanisms in polyethylene glycol hydrogels - Novel insights revealed by nanoindentation and modelling.

Journal of the mechanical behavior of biomedical materials·2026

Same author

Modelling of cardiac biventricular electromechanics with coronary blood flow to investigate the influence of coronary arterial motion on coronary haemodynamic.

Computer methods and programs in biomedicine·2025

Same author

Development of a methodology for in vitro and in silico simulation of transcatheter aortic valve replacement using 3D-printed valve frames.

Computers in biology and medicine·2025

Same author

Toward trustworthy medical device <i>in silico</i> clinical trials: a hierarchical framework for establishing credibility and strategies for overcoming key challenges.

Frontiers in medicine·2024

Same author

Quantum Computational and Spectroscopic Investigation of 3-aminosalicylic Acid.

Journal of fluorescence·2024

Search research articles

Related Experiment Video

Updated: May 30, 2026

Ferromagnetic Bare Metal Stent for Endothelial Cell Capture and Retention

Ferromagnetic Bare Metal Stent for Endothelial Cell Capture and Retention

Published on: September 18, 2015

Multiobjective design optimisation of coronary stents.

Sanjay Pant¹, Georges Limbert, Nick P Curzen

¹Computational Engineering Design Group, University of Southampton, School of Engineering Sciences, Southampton SO17 1BJ, United Kingdom.

|August 9, 2011

Summary

This summary is machine-generated.

This study optimizes coronary stent design using computational simulations and genetic algorithms. It identifies trade-offs between stent performance metrics like recoil, stress, and drug delivery for improved medical devices.

More Related Videos

Fabrication of Small Caliber Stent-grafts Using Electrospinning and Balloon Expandable Bare Metal Stents

Fabrication of Small Caliber Stent-grafts Using Electrospinning and Balloon Expandable Bare Metal Stents

Published on: October 26, 2016

Related Experiment Videos

Last Updated: May 30, 2026

Ferromagnetic Bare Metal Stent for Endothelial Cell Capture and Retention

Ferromagnetic Bare Metal Stent for Endothelial Cell Capture and Retention

Published on: September 18, 2015

Fabrication of Small Caliber Stent-grafts Using Electrospinning and Balloon Expandable Bare Metal Stents

Fabrication of Small Caliber Stent-grafts Using Electrospinning and Balloon Expandable Bare Metal Stents

Published on: October 26, 2016

Area of Science:

Biomedical Engineering
Computational Mechanics
Materials Science

Background:

Coronary stents are crucial for treating stenosed arteries by providing scaffolding.
Current stent designs require optimization to improve performance and reduce complications like restenosis and thrombosis.

Purpose of the Study:

To develop a multi-objective optimization paradigm for coronary stent design.
To explore the functional trade-offs between various performance metrics of stent designs.

Main Methods:

A three-variable geometry parameterization of a CYPHER-type stent was used.
Computational simulations assessed structural deformation, haemodynamics, drug delivery, and flexibility.
A non-dominated sorting genetic algorithm (NSGA-II) was employed for multi-objective surrogate modeling.

Main Results:

Six key performance metrics were evaluated: acute recoil, tissue stresses, haemodynamic disturbance, drug delivery, drug distribution uniformity, and flexibility.
Significant trade-offs were identified between various objective pairs, including stress vs. recoil, drug delivery vs. stress, and flexibility vs. haemodynamic disturbance.
Optimal design families were identified and compared to a representative CYPHER stent.

Conclusions:

The proposed optimization methodology can guide the development of improved coronary stents.
The findings highlight critical design conflicts that must be addressed for enhanced resistance to in-stent restenosis and thrombosis.