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

Search research articles

Related Experiment Videos

Shape-based myocardial contractility analysis using multivariate outlier detection.

Karim Lekadir¹, Niall Keenan, Dudley Pennell

¹Visual Information Processing, Department of Computing, Imperial College London, UK.

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention

|November 30, 2007

Summary

This summary is machine-generated.

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

Simultaneous multi-slice Cardiac Diffusion Tensor Imaging with variable CAIPIRINHA shifts and artefact-aware AI.

Medical image analysis·2026

Same author

Unusual cause of myocardial infarction in a 3-year-old: role of cardiovascular magnetic resonance in diagnosis-a case report.

European heart journal. Case reports·2025

Same author

Transcranial vibration stimulation at 40 Hz induced neural activity and promoted the coupling of global brain activity and cerebrospinal fluid flow.

NeuroImage·2025

Same author

Measurement of biomechanical properties of transversely isotropic biological tissue using traveling wave expansion.

Medical image analysis·2025

Same author

Thermally Drawn Shape and Stiffness Programmable Fibers for Medical Devices.

Advanced healthcare materials·2024

Same author

Localized Microrobotic Delivery of Enzyme-Responsive Hydrogel-Immobilized Therapeutics to Suppress Triple-Negative Breast Cancer.

Small (Weinheim an der Bergstrasse, Germany)·2024

Same journal

LiftReg: Limited Angle 2D/3D Deformable Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026

Same journal

Inverse Consistency by Construction for Multistep Deep Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026

Same journal

Can Crowdsourced Annotations Improve AI-based Congestion Scoring For Bedside Lung Ultrasound?

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026

Same journal

Equivariant Filters for Efficient Tracking in 3D Imaging.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026

Same journal

Lobar Lung Density Embeddings with a Transformer encoder (LobTe) to predict emphysema progression in COPD.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026

Same journal

uniGradICON: A Foundation Model for Medical Image Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026

See all related articles

This study introduces a novel method for analyzing heart muscle contractions using inter-landmark motion vectors. It effectively detects regional left ventricular dysfunctions by identifying abnormal motion patterns.

Area of Science:

Cardiology
Biomedical Engineering
Medical Imaging

Background:

Accurate assessment of regional myocardial contractility is crucial for diagnosing left ventricular dysfunction.
Existing methods may not fully capture complex spatio-temporal dynamics of the left ventricle.
Inter-landmark motion (ILM) vectors offer a promising way to represent regional cardiac motion.

Purpose of the Study:

To develop and validate a new approach for regional myocardial contractility analysis.
To utilize inter-landmark motion (ILM) vectors and multivariate outlier detection for identifying left ventricular abnormalities.
To enable precise localization and visualization of regional left ventricular dysfunctions.

Main Methods:

A spatio-temporal representation based on inter-landmark motion (ILM) vectors was developed.

Related Experiment Videos

Multivariate tolerance regions were derived from training data to model normal left ventricular variability.

Outlier detection was applied to new datasets to identify deviations from normal motion patterns.

Main Results:

The proposed framework successfully detected geometrical and dynamic inconsistencies in left ventricular function.
Extreme ILM observations corresponding to myocardial abnormalities were localized.
Validation on 50 subjects demonstrated the promise of the method in identifying regional dysfunctions.

Conclusions:

The novel approach using ILM vectors and outlier detection is effective for regional myocardial contractility analysis.
This method shows potential for improved localization and visualization of left ventricular dysfunctions.
The findings support the clinical utility of this framework in cardiac diagnostics.