Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Imaging Studies VII: Vascular Imaging01:19

Imaging Studies VII: Vascular Imaging

DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Reducing Stent-Induced Blooming Artifacts Using Virtual Monoenergetic Imaging Reconstructions in a Superficial Femoral Artery Phantom: An In-Vitro Study.

Cardiovascular engineering and technology·2026
Same author

Impact of Injection Technique on Microsphere Distribution During Transarterial Radioembolization in a Successively Bifurcating In Vitro Model.

Advances in radiation oncology·2026
Same author

Effect of Doppler ultrasound and high-frame-rate ultrasound particle image velocimetry derived inlet boundary conditions on wall shear stress parameters in the stented superficial femoral artery.

Computer methods and programs in biomedicine·2026
Same author

Modeling nonlinear scattering of phospholipid-coated microbubbles in elastic media.

Ultrasonics·2026
Same author

Microbubble-based measurement of shear and loss moduli in polyacrylamide hydrogels at MHz frequencies.

Soft matter·2026
Same author

Role of Cell Culture Scaffold Stiffness on Sonoporation Efficiency.

Ultrasound in medicine & biology·2025

Related Experiment Video

Updated: May 13, 2026

Microwave-driven Synthesis of Iron Oxide Nanoparticles for Fast Detection of Atherosclerosis
08:13

Microwave-driven Synthesis of Iron Oxide Nanoparticles for Fast Detection of Atherosclerosis

Published on: March 22, 2016

10.5K

Imaging Behind the Plaque: Improved Blood Flow Quantification Using an Iterative Scheme for Active Attenuation

Jelle Plomp1, Ashkan Ghanbarzadeh-Dagheyan2, Michel Versluis3

  • 1Multi-Modality Medical Imaging Group, TechMed Center, University of Twente, Enschede, The Netherlands; Physics of Fluids Group, TechMed Center, University of Twente, Enschede, The Netherlands.

Ultrasound in Medicine & Biology
|March 20, 2025
PubMed
Summary

This study introduces an iterative scheme for active attenuation correction (ISAAC) to improve blood flow quantification using echoPIV. ISAAC enhances signal amplitude, reducing velocity estimation errors in diseased arteries with acoustic shadows.

Keywords:
Active compensationAtherosclerotic plaqueAttenuation correctionBlood flow imagingTransmit apodizationUltrasound acquisitionUltrasound particle image velocimetry

More Related Videos

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation
06:56

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Published on: January 7, 2021

2.0K
Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
13:07

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Published on: January 15, 2022

3.8K

Related Experiment Videos

Last Updated: May 13, 2026

Microwave-driven Synthesis of Iron Oxide Nanoparticles for Fast Detection of Atherosclerosis
08:13

Microwave-driven Synthesis of Iron Oxide Nanoparticles for Fast Detection of Atherosclerosis

Published on: March 22, 2016

10.5K
Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation
06:56

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Published on: January 7, 2021

2.0K
Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
13:07

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Published on: January 15, 2022

3.8K

Area of Science:

  • Medical Imaging
  • Ultrasound Technology
  • Fluid Dynamics

Background:

  • High frame-rate (HFR) contrast-enhanced ultrasound with particle image velocimetry (PIV), termed echoPIV, enables blood flow analysis in diseased arteries.
  • Acoustic shadows from atherosclerotic plaques hinder accurate flow quantification by causing signal loss.
  • Compensating for attenuation globally risks contrast agent destruction in unaffected areas.

Purpose of the Study:

  • To develop a method for locally enhancing signal amplitude to improve flow quantification accuracy in the presence of acoustic shadows.
  • To address the limitations of current echoPIV techniques caused by signal attenuation in diseased arterial imaging.

Main Methods:

  • An iterative scheme for active attenuation correction (ISAAC) was developed, adjusting transducer apodization based on an acoustic model.
  • ISAAC iteratively modifies acoustic pressure locally to compensate for signal attenuation before HFR recording.
  • The method was validated in vitro using phantoms with varying attenuation levels, followed by PIV analysis.

Main Results:

  • Without ISAAC, velocity estimation errors exceeded 20% for attenuation above 6.4 dB.
  • ISAAC reduced errors to under 10% for attenuation up to 8.5 dB and under 20% for attenuation up to 10.6 dB.
  • The results demonstrate ISAAC's effectiveness in improving accuracy despite significant signal loss.

Conclusions:

  • The proposed ISAAC effectively compensates for acoustic signal loss in shadowed regions.
  • ISAAC significantly improves the accuracy of flow velocities derived from echoPIV.
  • This method enhances the reliability of non-invasive blood flow quantification in complex vascular geometries.