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Related Concept Videos

Imaging Studies for Cardiovascular System I:Echocardiography01:17

Imaging Studies for Cardiovascular System I:Echocardiography

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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,...
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Imaging Studies for Cardiovascular System II:Types of Echocardiography01:20

Imaging Studies for Cardiovascular System II:Types of Echocardiography

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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...
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Related Experiment Video

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Evaluation of Left Ventricular Structure and Function using 3D Echocardiography
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CardiacField: computational echocardiography for automated heart function estimation using two-dimensional

Chengkang Shen1, Hao Zhu1, You Zhou1,2

  • 1School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China.

European Heart Journal. Digital Health
|January 23, 2025
PubMed
Summary

CardiacField uses 2D echocardiography to precisely estimate heart function, offering an easy-to-use solution for healthcare practitioners to assess ejection fraction (EF) with accuracy comparable to advanced methods.

Keywords:
EchocardiographyImplicit neural representationLeft and right ventricular volumes and ejection fractionsThree-dimensional heart

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Related Experiment Videos

Last Updated: May 31, 2025

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3.8K
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Area of Science:

  • Computational imaging
  • Cardiovascular diagnostics
  • Medical artificial intelligence

Background:

  • Accurate heart function estimation is crucial for cardiovascular disease management.
  • Two-dimensional echocardiography (2DE) has limitations including required expertise and lack of 3D data.
  • Existing methods can be complex and prone to variability.

Purpose of the Study:

  • To introduce CardiacField, an automated system for precise left ventricular (LV) and right ventricular (RV) ejection fraction (EF) estimation using 2DE.
  • To evaluate the usability and performance of CardiacField among novice users and compare it to expert interpretations and deep learning (DL) tools.

Main Methods:

  • Developed an implicit neural representation network to reconstruct 3D cardiac volumes from multi-view 2DE images.
  • Implemented automatic segmentation for LV and RV areas to calculate EF.
  • Assessed accuracy against expert readings and 2D DL models in 127 patients.

Main Results:

  • CardiacField processed 2D echocardiograms into 3D heart models in under 2 minutes.
  • Achieved a Mean Absolute Error (MAE) of [specific MAE value] for LVEF and [specific MAE value] for RVEF.
  • Demonstrated usability among novice users across various ultrasound machines.

Conclusions:

  • CardiacField provides accurate EF estimations for LV and RV function comparable to 3D echocardiography.
  • The system utilizes a simple apical ring scan with a cost-effective 2DE probe.
  • Offers an accessible tool for non-cardiovascular specialists to assess cardiac function.