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

Imaging Studies for Cardiovascular System I:Echocardiography

Imaging Studies for Cardiovascular System I:Echocardiography

Cardiac imaging studies encompass a wide range of noninvasive and minimally invasive techniques designed to visualize the heart's structure and function in detail. One such technique is echocardiography, which uses high-frequency ultrasound waves to produce detailed images of the heart, known as echocardiograms.
Indications: Echocardiography is utilized to diagnose heart failure, valve disorders, and myocardial infarction. It also assesses cardiac structures' size, shape, and motion,...

Imaging Studies for Cardiovascular System II:Types of Echocardiography

Imaging Studies for Cardiovascular System II:Types of Echocardiography

Echocardiography plays a role in assessing cardiac health and detecting heart conditions, with various types providing critical insights for diagnosis and treatment.
Types of Echocardiography
Transthoracic Echocardiography (TTE)
TTE is the most common type of echocardiogram which involves placing a transducer on the patient's chest, emitting sound waves to create heart images. TTE is invaluable for evaluating the heart's size, structure, and motion, making it particularly useful for...

You might also read

Related Articles

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

Sort by

Same author

PEG-<i>b</i>-AGE Polymer Coated Magnetic Nanoparticle Probes with Facile Functionalization and Anti-fouling Properties for Reducing Non-specific Uptake and Improving Biomarker Targeting.

Journal of materials chemistry. B·2015

Same author

Glutathione production by recombinant Escherichia coli expressing bifunctional glutathione synthetase.

Journal of industrial microbiology & biotechnology·2015

Same author

Cyclic di-AMP mediates biofilm formation.

Molecular microbiology·2015

Same author

[A review on the epidemiology of Middle East Respiratory Syndrome].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2015

Same author

Fast lithium-ionic conduction in a new complex hydride-sulphide crystalline phase.

Chemical communications (Cambridge, England)·2015

Same author

Platinized Graphene/ceramics Nano-sandwiched Architectures and Electrodes with Outstanding Performance for PEM Fuel Cells.

Scientific reports·2015

Same journal

Wavelet-inspired diffusion model with near-field constraint for real-time echocardiography dehazing.

Medical image analysis·2026

Same journal

Co-assistant networks by pathology foundation model and convolutional neural network for gigapixel whole slide image analysis.

Medical image analysis·2026

Same journal

MBAS2024: A large-scale benchmark for multi-class bi-atrial segmentation in multi-center contrast-enhanced MRIs.

Medical image analysis·2026

Same journal

Respiratory motion augmentation for personalized super-resolution (RMApSR) of 3D cine MR images in MRI-guided radiotherapy.

Medical image analysis·2026

Same journal

Biom3d, a modular framework to host and develop 3D segmentation methods.

Medical image analysis·2026

Same journal

Embracing intra-class heterogeneity for semi-supervised medical image segmentation: From diversity to precision.

Medical image analysis·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 10, 2026

Evaluation of Left Ventricular Structure and Function using 3D Echocardiography

Evaluation of Left Ventricular Structure and Function using 3D Echocardiography

Published on: October 28, 2020

Echocardiogram enhancement using supervised manifold denoising.

Hui Wu¹, Toan T Huynh², Richard Souvenir¹

¹Department of Computer Science, University of North Carolina at Charlotte.

Medical Image Analysis

|June 15, 2015

Summary

This summary is machine-generated.

This study introduces novel data-driven methods for enhancing echocardiogram videos by leveraging their intrinsic structure. These advanced techniques improve image quality, addressing composite noise issues in cardiac ultrasound imaging.

Keywords:

Biomedical image processing Echocardiography Image denoising Supervised learning Video signal processing

More Related Videos

High-frequency High-resolution Echocardiography: First Evidence on Non-invasive Repeated Measure of Myocardial Strain, Contractility, and Mitral Regurgitation in the Ischemia-reperfused Murine Heart

High-frequency High-resolution Echocardiography: First Evidence on Non-invasive Repeated Measure of Myocardial Strain, Contractility, and Mitral Regurgitation in the Ischemia-reperfused Murine Heart

Published on: July 9, 2010

Ultrasonic Assessment of Myocardial Microstructure

Ultrasonic Assessment of Myocardial Microstructure

Published on: January 14, 2014

Related Experiment Videos

Last Updated: Apr 10, 2026

Evaluation of Left Ventricular Structure and Function using 3D Echocardiography

Evaluation of Left Ventricular Structure and Function using 3D Echocardiography

Published on: October 28, 2020

High-frequency High-resolution Echocardiography: First Evidence on Non-invasive Repeated Measure of Myocardial Strain, Contractility, and Mitral Regurgitation in the Ischemia-reperfused Murine Heart

High-frequency High-resolution Echocardiography: First Evidence on Non-invasive Repeated Measure of Myocardial Strain, Contractility, and Mitral Regurgitation in the Ischemia-reperfused Murine Heart

Published on: July 9, 2010

Ultrasonic Assessment of Myocardial Microstructure

Ultrasonic Assessment of Myocardial Microstructure

Published on: January 14, 2014

Area of Science:

Medical Imaging
Biomedical Engineering
Signal Processing

Background:

Echocardiogram enhancement is crucial for accurate cardiac diagnosis.
Existing denoising methods struggle with complex, real-world noise in ultrasound images.
Current algorithms often fail to generalize due to single noise model assumptions.

Purpose of the Study:

To develop advanced data-driven methods for echocardiogram enhancement.
To address limitations of traditional denoising algorithms in handling composite noise.
To improve the quality and diagnostic utility of echocardiogram videos.

Main Methods:

Leveraging the low-dimensional intrinsic structure of echocardiogram videos.
Modeling echocardiogram images as noisy samples from a cardiac motion-parametrized manifold.
Denoising via back-projection onto a learned non-linear manifold.
Incorporating synchronized electrocardiography (ECG) side information.

Main Results:

Demonstrated superior performance over existing image despeckling and video denoising methods.
Achieved significant quantitative improvements on synthetic and real-world echocardiogram datasets.
Visual analysis confirmed noticeable image enhancement, particularly for dropout artifacts.

Conclusions:

The proposed data-driven manifold learning approach effectively enhances echocardiogram quality.
These methods offer a robust solution for composite noise reduction in cardiac ultrasound.
The integration of side information further boosts denoising performance and clinical applicability.