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

You might also read

Related Articles

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

Sort by

Same author

In search of truth: evaluating concordance of AI-based anatomy segmentation models.

Journal of medical imaging (Bellingham, Wash.)·2026

Same author

Robotic-Arm Assisted Multi-Apical View 3-D Fusion of Echocardiography for Enhanced Left Ventricular Assessment Using Wavelet.

Ultrasound in medicine & biology·2026

Same author

Towards robust deep learning-based autosegmentation in MRI-planned gynecological brachytherapy: Importance of scalable development and comprehensive evaluation.

Brachytherapy·2026

Same author

Extreme cardiac MRI analysis under respiratory motion: Results of the CMRxMotion challenge.

Medical image analysis·2025

Same author

BONBID-HIE 2023: Lesion Segmentation Challenge in BOston Neonatal Brain Injury Data for Hypoxic Ischemic Encephalopathy.

IEEE transactions on medical imaging·2025

Same author

Benchmarking of deep learning methods for generic MRI multi-organ abdominal segmentation.

Journal of medical imaging (Bellingham, Wash.)·2025

Same journal

Investigating Effect of Dimensional Variance on Separation of Glomerular Ultrafiltrate in a Microfluidic Environment.

IEEE transactions on nanobioscience·2026

Same journal

Green synthesis of multifunctional ZnFe<sub>2</sub>O<sub>4</sub>-MWCNT-Cellulose acetate nanocomposite for peroxidase enzyme immobilization.

IEEE transactions on nanobioscience·2026

Same journal

IoT-Enabled SnO₂-Based Humidity Sensor for Real-Time Monitoring in Neonatal Incubators.

IEEE transactions on nanobioscience·2026

Same journal

Electrokinetic and Antibiofilm Effects of Silver Nanoparticles Combined with Imipenem Against multidrug-resistant of Klebsiella pneumoniae.

IEEE transactions on nanobioscience·2026

Same journal

Bio-inspired Optofluidic Molecular Communication with Photothermally Actuated Microrobot Swarms.

IEEE transactions on nanobioscience·2026

Same journal

Nanostructured ZnO Thin Film-Based Enzymatic Biosensor for Sensitive Acetylcholine Detection in Neurological Applications.

IEEE transactions on nanobioscience·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 29, 2025

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

Deep Learning Based Parameterization of Diffeomorphic Image Registration for Cardiac Image Segmentation.

Ameneh Sheikhjafari, Deepa Krishnaswamy, Michelle Noga

IEEE Transactions on Nanobioscience

|May 23, 2023

Summary

This summary is machine-generated.

This study introduces a new deep learning framework for automatic cardiac segmentation in MRI scans. The method uses diffeomorphic deformable registration to accurately segment heart chambers, improving diagnostic capabilities.

More Related Videos

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Published on: January 8, 2013

Related Experiment Videos

Last Updated: Jul 29, 2025

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Published on: January 8, 2013

Area of Science:

Medical Imaging
Computational Anatomy
Artificial Intelligence

Background:

Cardiac segmentation from MRI is crucial for diagnosing heart conditions but is labor-intensive.
Manual annotation of hundreds of cardiac MRI images per scan is time-consuming and challenging.

Purpose of the Study:

To develop an automated, end-to-end supervised framework for cardiac MRI segmentation.
To accurately segment cardiac chambers from both 2D and 3D MRI data.

Main Methods:

A novel framework employing diffeomorphic deformable registration for cardiac segmentation.
Parameterization of transformations using deep learning-computed radial and rotational components.
Ensuring invertible transformations and preventing mesh folding for topological preservation.

Main Results:

The proposed method demonstrated significant improvements in Dice score and Hausdorff distance.
Outperformed existing learning-based and non-learning-based segmentation methods.
Validated across three diverse datasets for robust performance.

Conclusions:

The developed framework offers an efficient and accurate solution for cardiac MRI segmentation.
Deep learning-driven diffeomorphic registration enhances the analysis of cardiac anatomy and function.
This approach facilitates improved assessment and diagnosis of cardiac diseases.