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Related Concept Videos

Aneurysm I: Introduction01:30

Aneurysm I: Introduction

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An aortic aneurysm is a localized outpouching or dilation at a weak point in the artery wall. It may involve different parts of the aorta, such as the abdominal aorta, aortic arch, or thoracic aorta.Etiological factorsSeveral disorders are associated with aortic aneurysms.Congenital causes, such as primary connective tissue disorders like Marfan syndrome, impact the integrity and strength of connective tissues, notably affecting the aorta. Marfan syndrome is a genetic disorder that specifically...
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Aneurysm II: Clinical Manifestations and Diagnostic Studies01:21

Aneurysm II: Clinical Manifestations and Diagnostic Studies

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Thoracic, aortic arch and abdominal aneurysms are significant vascular conditions that can present with various clinical manifestations and lead to serious complications. Understanding these manifestations and the appropriate diagnostic studies is essential for effective management and treatment.Thoracic Aortic AneurysmsThoracic aortic aneurysms often remain asymptomatic until they reach a size that impinges on adjacent structures. They typically cause deep, diffuse chest pain that radiates to...
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Related Experiment Video

Updated: Jul 25, 2025

Manufacturing Abdominal Aorta Hydrogel Tissue-Mimicking Phantoms for Ultrasound Elastography Validation
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Fast strain mapping in abdominal aortic aneurysm wall reveals heterogeneous patterns.

Marta Irene Bracco1,2, Magdalena Broda3, Ulver Spangsberg Lorenzen3

  • 1Mines Saint-Étienne, University Jean Monnet, INSERM, Sainbiose, Saint-Étienne, France.

Frontiers in Physiology
|June 26, 2023
PubMed
Summary

This study introduces a fast, semi-automatic ultrasound analysis method to measure abdominal aortic aneurysm wall strain. This tool aids in assessing rupture risk beyond current diameter guidelines.

Keywords:
abdominal aortic aneurysmfinite element modelingradial basis functionsstrain imagingultrasound B-mode cine-loopsultrasound elastographyultrasound simulationsvascular wall strains

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Area of Science:

  • Biomedical Engineering
  • Cardiovascular Imaging
  • Medical Ultrasound

Background:

  • Abdominal aortic aneurysm (AAA) rupture risk is currently assessed using maximum diameter, a criterion with limited predictive ability.
  • Monitoring AAA progression and rupture risk is crucial for patient management.
  • There is a need for clinically relevant tools to complement existing AAA guidelines.

Purpose of the Study:

  • To develop a fast and semi-automatic method for post-processing dynamic clinical ultrasound sequences to enable biomechanical estimations in the AAA wall.
  • To map cross-sectional strains on B-mode images for a better understanding of AAA wall mechanics.
  • To provide a tool that can complement current AAA monitoring guidelines.

Main Methods:

  • Employed the Sparse Demons algorithm to track AAA wall motion across cardiac cycles in 2D ultrasound sequences.
  • Utilized radial basis function interpolation and differentiation to map cyclic strains.
  • Validated the tracking method against simulated ultrasound data and compared strain calculations with the finite-element method.

Main Results:

  • The semi-automatic analysis processed each cardiac cycle in under 1.5 minutes.
  • The wall motion tracking achieved a maximum root mean square error of 0.22 mm against simulated data.
  • Calculated strains showed excellent agreement with the finite-element method, with mean differences significantly smaller than image resolution.

Conclusions:

  • The developed method provides a fast and accurate measurement of cyclic wall strains from clinical ultrasound sequences.
  • This technique shows promise as a tool for investigating AAA wall biomechanics.
  • Observed strain patterns in patients suggest potential interaction with the spine, warranting further investigation.