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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, evaluates...

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Imaging Studies for Cardiovascular System II:Types of Echocardiography

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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 diagnosing...

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Related Experiment Video

Updated: Jul 17, 2026

Ultrasonic Assessment of Myocardial Microstructure

Ultrasonic Assessment of Myocardial Microstructure

Published on: January 14, 2014

Texture-based echocardiographic segmentation using a non-parametric estimator and an active contour model.

R Valdes-Cristerna¹, J R Jimenez, O Yanez-Suarez

¹Department of Electrical Engineering, Universidad Autonoma Metropolitana, Iztapalapa, Mexico.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference

|February 3, 2007

Summary

This study introduces an advanced algorithm for segmenting cardiac structures in echocardiographic images. The method effectively combines noise reduction and texture analysis for improved cardiac function assessment.

Related Experiment Videos

Last Updated: Jul 17, 2026

Ultrasonic Assessment of Myocardial Microstructure

Ultrasonic Assessment of Myocardial Microstructure

Published on: January 14, 2014

Area of Science:

Medical Imaging
Biomedical Engineering
Cardiology

Background:

Accurate segmentation of cardiac cavities is crucial for assessing cardiac function and quantitative parameter determination.
Existing semi-automatic segmentation techniques have limitations in precision and robustness.

Purpose of the Study:

To develop and evaluate a novel algorithm for segmenting cardiac structures in echocardiographic images.
To improve the accuracy and reliability of cardiac segmentation for functional analysis.

Main Methods:

A robust pre-processing step involving noise elimination and initial frontier extraction.
A refined deformable model integrating edge confidence and texture information.
Combination of a mean-shift filter with an active contour model.

Main Results:

The proposed algorithm demonstrates effective segmentation of cardiac structures.
The integration of texture information significantly enhances segmentation accuracy.
The mean-shift filter and active contour model combination proved adequate for echographic images.

Conclusions:

The developed algorithm provides an accurate method for cardiac structure segmentation.
The approach is particularly effective for echographic images, especially when incorporating texture data.
This technique can aid in more precise cardiac function assessment.