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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...

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 diagnosing...

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Related Experiment Video

Updated: Jun 26, 2026

Ultrasonic Assessment of Myocardial Microstructure

Ultrasonic Assessment of Myocardial Microstructure

Published on: January 14, 2014

Cardiac disease recognition in echocardiograms using spatio-temporal statistical models.

David Beymer¹, Tanveer Syeda-Mahmood

¹Healthcare Informatics Group, IBM Almaden Research Center, 650 Harry Road, San Jose, CA 95120 USA. beymer@us.ibm.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

This study introduces a novel method for automatic disease recognition in cardiac echo videos using statistical spatio-temporal models. The approach successfully differentiates hypokinesia from normal cardiac function, improving diagnostic accuracy.

Related Experiment Videos

Last Updated: Jun 26, 2026

Ultrasonic Assessment of Myocardial Microstructure

Ultrasonic Assessment of Myocardial Microstructure

Published on: January 14, 2014

Area of Science:

Medical Imaging
Cardiology
Artificial Intelligence

Background:

Cardiac echo videos are crucial for diagnosing heart conditions.
Accurate disease recognition in echocardiography remains a challenge.
Automated analysis can improve diagnostic efficiency and consistency.

Purpose of the Study:

To develop an automated method for disease recognition in cardiac echo videos.
To utilize statistical spatio-temporal models for enhanced diagnostic capabilities.
To differentiate specific cardiac conditions like hypokinesia from normal function.

Main Methods:

Employed active shape models (ASM) to capture shape and texture in echo frames.
Developed joint spatio-temporal statistical models integrating shape and motion.
Used eigen-motion features for compact representation of cardiac motion.
Applied model fitting to new videos for disease classification.

Main Results:

The proposed method demonstrated the ability to discriminate hypokinesia from normal cardiac states.
Statistical spatio-temporal models effectively captured disease-specific patterns.
The approach showed promise for automated cardiac disease diagnosis.

Conclusions:

The developed method offers a viable approach for automatic disease recognition in echocardiography.
Statistical spatio-temporal modeling is effective for analyzing cardiac function from echo videos.
This technique can aid in the early and accurate diagnosis of cardiac abnormalities.