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

You might also read

Related Articles

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

Sort by
Same author

Electrocardiographic Changes After Percutaneous Coronary Intervention for Chronic Total Occlusion.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions·2026
Same author

Interpretable Multimodal AI to Predict the Presence of Late Gadolinium Enhancement on Cardiac Magnetic Resonance Imaging in Cardiac Sarcoidosis Patients.

Circulation. Arrhythmia and electrophysiology·2026
Same author

Catheter ablation of atrial fibrillation in patients with heart failure - preserved and reduced ejection fraction - real world evidence.

Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing·2026
Same author

Predicting the <i>When</i> : Multimodal AI for Time-to-Recurrence Analysis After Atrial Fibrillation Ablation.

medRxiv : the preprint server for health sciences·2026
Same author

HRS position statement: Changing the tide in CPR and AED education for students in the United States.

Heart rhythm·2026
Same author

Arrhythmias and cardiac devices management in oncology patients.

Heart rhythm·2026

Related Experiment Video

Updated: Apr 3, 2026

Author Spotlight: Advancements in Intracardiac Echocardiography for Atrial Anatomy Assessment
04:29

Author Spotlight: Advancements in Intracardiac Echocardiography for Atrial Anatomy Assessment

Published on: June 30, 2023

1.8K

Computational Shape Models Characterize Shape Change of the Left Atrium in Atrial Fibrillation.

Joshua Cates1, Erik Bieging2, Alan Morris3

  • 1Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA. ; Comprehensive Arrhythmia Research and Management Center, University of Utah, Salt Lake City, UT, USA.

Clinical Medicine Insights. Cardiology
|September 19, 2015
PubMed
Summary

Statistical shape models reveal distinct left atrial (LA) differences in atrial fibrillation (AF) patients, linking LA appendage shape to thrombogenesis risk. This advances understanding of cardiac geometry in AF.

Keywords:
atrial fibrillationcardiac MRIleft atriumleft-atrial appendagemorphometricsstatistical shape modeling

More Related Videos

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
08:10

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation

Published on: July 20, 2022

2.2K
High-Resolution Endocardial and Epicardial Optical Mapping in a Sheep Model of Stretch-Induced Atrial Fibrillation
09:17

High-Resolution Endocardial and Epicardial Optical Mapping in a Sheep Model of Stretch-Induced Atrial Fibrillation

Published on: July 29, 2011

15.3K

Related Experiment Videos

Last Updated: Apr 3, 2026

Author Spotlight: Advancements in Intracardiac Echocardiography for Atrial Anatomy Assessment
04:29

Author Spotlight: Advancements in Intracardiac Echocardiography for Atrial Anatomy Assessment

Published on: June 30, 2023

1.8K
Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
08:10

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation

Published on: July 20, 2022

2.2K
High-Resolution Endocardial and Epicardial Optical Mapping in a Sheep Model of Stretch-Induced Atrial Fibrillation
09:17

High-Resolution Endocardial and Epicardial Optical Mapping in a Sheep Model of Stretch-Induced Atrial Fibrillation

Published on: July 29, 2011

15.3K

Area of Science:

  • Cardiovascular Imaging
  • Computational Anatomy
  • Medical Physics

Background:

  • Left atrial (LA) shape changes in atrial fibrillation (AF) are linked to disease pathology and thrombogenesis.
  • Previous studies relied on limited metrics like volume, hindering comprehensive understanding of LA shape variation.

Purpose of the Study:

  • To develop and apply computational statistical shape models for a detailed analysis of LA geometry.
  • To quantitatively assess differences in LA shape between healthy individuals and AF patients.
  • To identify specific LA appendage shapes associated with thrombogenesis risk.

Main Methods:

  • Utilized 3D Magnetic Resonance (MR) imaging to extract patient-specific LA shape parameters.
  • Developed automated techniques for deriving comprehensive geometric variability from MR images.
  • Applied statistical shape models to analyze group differences and shape-risk associations.

Main Results:

  • Identified statistically significant differences in LA shape between normal controls and AF patients (n=137).
  • Characterized specific LA appendage shapes correlated with increased thrombogenesis risk, as determined by transesophageal echocardiography (n=203).

Conclusions:

  • Computational statistical shape models provide a more comprehensive understanding of LA geometric variability in AF.
  • This approach can differentiate between healthy and AF atria and identify high-risk morphological features.
  • The findings have implications for understanding AF pathophysiology and thrombotic risk stratification.