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Related Concept Videos

Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

864
A stroke engine has a slider-crank mechanism that converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider.
When an external force is exerted, it sets the crank into a rotational movement. This, in turn, instigates the motion of the connecting rod, leading to what is referred to as a general plane motion. This process involves two key points - point A on the connecting rod...
864

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Related Experiment Video

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Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo
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Fast left ventricle tracking using localized anatomical affine optical flow.

Sandro Queirós1,2,3, João L Vilaça1,4, Pedro Morais1,2,5

  • 1ICVS/3B's-PT Government Associate Laboratory, Braga/Guimarães, Portugal.

International Journal for Numerical Methods in Biomedical Engineering
|February 17, 2017
PubMed
Summary
This summary is machine-generated.

A new fast method for automatic left ventricle (LV) tracking using optical flow improves cardiac function assessment. This technique enhances accuracy and efficiency in clinical cardiology, applicable to various imaging modalities.

Keywords:
3D echocardiographyautomatic quantificationcardiac cine MRIfast image processingleft ventricle trackinglocalized affine optical flow

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Area of Science:

  • Cardiology
  • Medical Imaging Analysis
  • Biomedical Engineering

Background:

  • Assessing left ventricle (LV) function is vital in cardiology for diagnosis and treatment.
  • Current manual methods for LV function assessment are time-consuming and resource-intensive.

Purpose of the Study:

  • To develop and validate a novel, fast, and automatic methodology for LV tracking.
  • To assess global and regional myocardial function more efficiently.

Main Methods:

  • Proposed a localized, anatomically constrained affine optical flow method for automatic LV tracking.
  • Validated the method on simulated 3D ultrasound, clinical 3D echocardiography, and cardiac MRI data.
  • Combined the tracking method with existing segmentation frameworks.

Main Results:

  • The method demonstrated accurate LV tracking across all tested databases.
  • Outperformed previous tracking strategies in 3D ultrasound and cardiac MRI.
  • Achieved smaller biases and narrower limits of agreement for cardiac indices compared to references.
  • Showed suitability for online processing, including 3D motion assessment.

Conclusions:

  • The novel optical flow-based method provides accurate and efficient automatic LV tracking.
  • This approach enhances myocardial function assessment in clinical cardiology.
  • The methodology is adaptable for tracking other anatomical structures.