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

Mitral Valve Prolapse I: Introduction01:27

Mitral Valve Prolapse I: Introduction

871
IntroductionThe mitral valve, one of the heart's four valves, regulates blood flow. These valves have flaps that open and close to direct blood properly through the heart and body. During each heartbeat, the flaps open for blood to pass through and seal shut to prevent backflow. Specifically, the mitral valve opens to allow blood flow from the heart's upper left chamber to the lower left chamber. It then closes securely as the lower left chamber contracts to pump blood to the body, preventing...
871
Mitral Stenosis II: Clinical features and Diagnostic Tests01:23

Mitral Stenosis II: Clinical features and Diagnostic Tests

395
Mitral stenosis is a heart condition in which the mitral valve, which allows blood to flow from the left atrium to the left ventricle, becomes narrowed or stenotic. This narrowing hinders blood flow and leads to clinical symptoms requiring specific medical evaluations and management strategies. The following overview outlines the clinical symptoms, assessments, diagnostic findings, prevention methods, and treatments for mitral stenosis.Clinical ManifestationsDyspnea (shortness of breath): This...
395
Mitral Stenosis I: Introduction01:22

Mitral Stenosis I: Introduction

1.2K
Mitral Valve Stenosis (MVS) is a heart condition where the mitral valve narrows, impeding blood circulation from the left atrium to the left ventricle. The etiology and pathophysiology of this condition are multifaceted, leading to a cascade of cardiovascular complications.Causes of Mitral Valve StenosisRheumatic Heart Disease: It is the main cause of mitral valve stenosis, particularly in developing nations. This condition arises from rheumatic fever, an inflammatory illness resulting from...
1.2K
Mitral Regurgitation II: Clinical Features and Diagnostic Tests01:23

Mitral Regurgitation II: Clinical Features and Diagnostic Tests

740
Mitral regurgitation (MR) is a valvular heart disorder in which the mitral valve fails to close tightly, allowing blood to leak backward into the heart. Understanding the clinical manifestations, assessment, diagnostic findings, and medical management of MR is crucial to effectively managing affected patients.Clinical Manifestations of Mitral RegurgitationMitral regurgitation can be acute or chronic, each presenting differently and requiring different approaches:1. Acute Mitral...
740

You might also read

Related Articles

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

Sort by
Same author

Development of a mechano-mimetic mitral valve - hybrid experimental and finite element analysis findings.

Acta biomaterialia·2026
Same author

Evaluation of Wellby, a Cocreated Mobile App and Wearable to Support Stress Management and Overall Well-Being: Mixed Methods Acceptability and Usability Study.

JMIR human factors·2026
Same author

Predicting haemodialysis arteriovenous fistula outcomes using computational fluid dynamics and ferumoxytol-enhanced MRI.

The journal of vascular access·2025
Same author

Patient-specific investigation into plaque rupture risk due to catheter tracking during TAVR.

Computers in biology and medicine·2025
Same author

The Influence of Cup Orientation on the Primary Fixation of a Hemispherical Cementless Acetabular Cup: A Cohort Based Finite Element Study.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society·2025
Same author

Computational Investigation of Vessel Injury Due to Catheter Tracking During Transcatheter Aortic Valve Replacement.

Annals of biomedical engineering·2024
Same journal

Reference Standards, Numerical Consistency, and Scoring Logic: Pre-deployment Assurance Considerations for AI-Assisted Third Molar Extraction Planning : Regarding: Ko J, Sooksatra S, Kim S, Tang S, Ha JE, Han DH, Lee KH, Jung YJ, Kim MJ. Quantitative assessment of third molar extraction difficulty and nerve injury risk using artificial intelligence and image processing. Ann Biomed Eng. 2026. https://doi.org/10.1007/s10439-026-04114-9.

Annals of biomedical engineering·2026
Same journal

Un-AI-ing: Compliance, Evasion, and the Distortion of Research Writing in the Age of AI Detection.

Annals of biomedical engineering·2026
Same journal

VisR Ultrasound for Monitoring Muscle Fatigue with FES-Induced and Volitional Isometric Contraction of the Rectus Femoris in Participants with Uninjured and Injured Spinal Cords.

Annals of biomedical engineering·2026
Same journal

The Magnet-Actuated Craniofacial (MAC) Distraction System: Magnetic Coupling Modeling.

Annals of biomedical engineering·2026
Same journal

Enhancement of Cerebral Oxygenation by Lower-Limb Neuromuscular Electrical Stimulation in Stroke Survivors.

Annals of biomedical engineering·2026
Same journal

Computational Modeling Unveils the Impact of Tissue Growth and Vascular Remodeling on the Distribution of Interstitial Chemical Species.

Annals of biomedical engineering·2026
See all related articles

Related Experiment Video

Updated: Mar 21, 2026

Echocardiographic Approaches and Protocols for Comprehensive Phenotypic Characterization of Valvular Heart Disease in Mice
12:12

Echocardiographic Approaches and Protocols for Comprehensive Phenotypic Characterization of Valvular Heart Disease in Mice

Published on: February 14, 2017

16.9K

Morphological Variation in the Human Mitral Valve Using Statistical Shape Modelling.

Hyab Mehari Abraha1,2, Chris Goddard3, Rebecca Bryan3

  • 1Royal College of Surgeons in Ireland (RCSI), Dublin, Ireland. hyabmehariabraha@rcsi.com.

Annals of Biomedical Engineering
|March 20, 2026
PubMed
Summary
This summary is machine-generated.

Statistical shape modelling (SSM) quantifies heart anatomy variability. This study created a mitral valve SSM from CTA scans, enabling virtual patient cohorts for biomechanical trials and personalized medicine.

Keywords:
Bicuspid valveCoronary angiographyGeometric morphometricsPrincipal component analysis

More Related Videos

An Approach to Study Shape-Dependent Transcriptomics at a Single Cell Level
06:02

An Approach to Study Shape-Dependent Transcriptomics at a Single Cell Level

Published on: November 2, 2020

6.3K
Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

7.7K

Related Experiment Videos

Last Updated: Mar 21, 2026

Echocardiographic Approaches and Protocols for Comprehensive Phenotypic Characterization of Valvular Heart Disease in Mice
12:12

Echocardiographic Approaches and Protocols for Comprehensive Phenotypic Characterization of Valvular Heart Disease in Mice

Published on: February 14, 2017

16.9K
An Approach to Study Shape-Dependent Transcriptomics at a Single Cell Level
06:02

An Approach to Study Shape-Dependent Transcriptomics at a Single Cell Level

Published on: November 2, 2020

6.3K
Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

7.7K

Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Computational Anatomy

Background:

  • Statistical Shape Modelling (SSM) provides a framework for analyzing anatomical variability.
  • Virtual patient cohorts are crucial for in silico clinical trials and medical device development.

Purpose of the Study:

  • To develop a Statistical Shape Model (SSM) of the mitral valve.
  • To assess the physiological relevance and geometric diversity captured by the model.
  • To demonstrate the utility of SSMs for generating virtual patient populations.

Main Methods:

  • Utilized 72 contrast-enhanced computed tomography angiography (CTA) scans of the heart.
  • Applied Principal Component Analysis (PCA) to identify dominant modes of shape variation.
  • Developed an SSM of the mitral valve anatomy.

Main Results:

  • The SSM successfully captured dominant modes of shape variation consistent with known anatomical patterns.
  • The model effectively represents the geometric diversity of the mitral valve.
  • Validated the physiological relevance of the developed SSM.

Conclusions:

  • SSMs are effective for generating virtual patient populations from medical imaging data.
  • The developed mitral valve SSM supports applications in preclinical testing, device design, and personalized medicine.
  • This approach facilitates the integration of SSMs into computational modeling pipelines.