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Related Concept Videos

Imaging Studies for Cardiovascular System I:Echocardiography01:17

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 Echocardiography01:20

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: Jul 2, 2026

Transthoracic Speckle Tracking Echocardiography for the Quantitative Assessment of Left Ventricular Myocardial Deformation
09:05

Transthoracic Speckle Tracking Echocardiography for the Quantitative Assessment of Left Ventricular Myocardial Deformation

Published on: October 20, 2016

State-based modeling and object extraction from echocardiogram video.

Aditi Roy1, Shamik Sural, Jayanta Mukherjee

  • 1School of Information Technology, Indian Institute of Technology (IIT), Kharagpur 721302, India. aditi.roy@sit.iitkgp.ernet.in

IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society
|August 13, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces a hierarchical model for echocardiogram video analysis, improving content management through accurate view and state segmentation. The novel approach achieves high accuracy in classifying echocardiogram views and detecting object states.

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Last Updated: Jul 2, 2026

Transthoracic Speckle Tracking Echocardiography for the Quantitative Assessment of Left Ventricular Myocardial Deformation
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Published on: October 20, 2016

Murine Echocardiography and Ultrasound Imaging
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Murine Echocardiography and Ultrasound Imaging

Published on: August 8, 2010

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
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Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Published on: January 8, 2013

Area of Science:

  • Medical imaging analysis
  • Artificial intelligence in cardiology

Background:

  • Echocardiogram videos require efficient indexing for content management.
  • Current methods lack detailed semantic representation of video segments.

Purpose of the Study:

  • To develop a hierarchical state-based model for echocardiogram video representation.
  • To enable effective segmentation of echo videos into view, state, and substate levels.
  • To support efficient indexing and content management of echocardiogram data.

Main Methods:

  • A hierarchical state-based model is proposed, capturing dynamic object characteristics.
  • Four views (short axis, long axis, apical four chamber, apical two chamber) are modeled.
  • Artificial neural networks are used for view classification.
  • Novel sweep M-mode and radial M-mode techniques are introduced for state and substate detection, respectively.

Main Results:

  • View classification accuracy reached 97.19%.
  • State detection misclassification error was below 13%, with errors primarily at state boundaries.
  • The model effectively represents video segment semantics using first-order predicates.

Conclusions:

  • The proposed hierarchical model offers an effective method for echocardiogram video segmentation and semantic representation.
  • The novel M-mode techniques contribute to improved state and substate identification.
  • This approach enhances content management capabilities for echocardiogram data.