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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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Related Experiment Video

Updated: Jun 26, 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

Left ventricle segmentation in echocardiography using a radial-search-based image processing algorithm.

Saulo Guerreiro Lacerda¹, Adson F da Rocha, Daniel F Vasconcelos

¹Electrical Engineering Department, University of Brasília, DF 70910-900 Brazil. saulogl@gmail.com

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

|January 24, 2009

Summary

A novel method enhances left ventricle segmentation in echocardiography using sequential radial search and temporal data. This approach improves boundary extraction, especially in challenging ultrasound images with open mitral valves and low contrast.

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Last Updated: Jun 26, 2026

Evaluation of Left Ventricular Structure and Function using 3D Echocardiography

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Published on: October 28, 2020

Ultrasonic Assessment of Myocardial Microstructure

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Published on: January 14, 2014

Quantifying Intermembrane Distances with Serial Image Dilations

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Published on: September 28, 2018

Area of Science:

Medical Imaging
Cardiovascular Ultrasound
Image Processing

Background:

Accurate left ventricle segmentation is crucial for diagnosing cardiac conditions using echocardiography.
Traditional methods often struggle with image quality issues like low contrast and dynamic valve movements.

Purpose of the Study:

To introduce a new segmentation method for the left ventricle in 2D echocardiography.
To improve the accuracy and robustness of left ventricle border extraction.

Main Methods:

Utilizing image processing techniques combined with radial search and temporal information.
Extracting left ventricle boundaries from sequential echocardiography images.
Developing a sequential radial search algorithm for improved border detection.

Main Results:

The proposed method successfully extracted left ventricle borders from long-axis ultrasound images.
Performance evaluation showed improved border extraction compared to manual segmentation, particularly with open mitral valves.
Segmentation errors caused by low contrast were effectively corrected.

Conclusions:

The new sequential radial search algorithm offers a significant improvement for left ventricle segmentation in echocardiography.
This method enhances the reliability of cardiac measurements derived from ultrasound images.
The technique shows promise for clinical applications requiring precise cardiac structure delineation.