Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Magnetic Resonance Imaging

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

You might also read

Related Articles

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

Sort by

Same author

Impact of Contour Boundary Offsets on 4D Flow CMR-Derived Intracardiac Haemodynamic Parameters.

Journal of cardiovascular development and disease·2026

Same author

Modeling calcium-dependent passive cardiac mechanics in the mouse.

Acta biomaterialia·2026

Same author

MRI-Based Pressure Gradient Mapping in Patient-Specific Models of Coarctation of the Aorta.

medRxiv : the preprint server for health sciences·2026

Same author

A monolithic patient-specific 3D-0D model for In silico investigation of hemodynamics in patients with left ventricular assist devices.

Biomechanics and modeling in mechanobiology·2026

Same author

Preoperative neck growth and size are associated with type 1a endoleak after endovascular aneurysm repair.

Journal of vascular surgery·2026

Same author

Clinical quality of breath-held T1-weighted breast MRI in the supine position.

European journal of radiology·2026

Search research articles

Related Experiment Video

Updated: May 22, 2025

In vitro Assessment of Aortic Regurgitation Using Four-Dimensional Flow Magnetic Resonance Imaging

In vitro Assessment of Aortic Regurgitation Using Four-Dimensional Flow Magnetic Resonance Imaging

Published on: February 25, 2022

Comprehensive Analysis of Relative Pressure Estimation Methods Utilizing 4D-Flow MRI.

Brandon Hardy, Judith Zimmermann, Vincent Lechner

|March 17, 2025

Summary

This study evaluates three methods for estimating 3D relative pressure fields using 4D-flow MRI. The virtual Work-Energy method showed the most accuracy in phantom studies, with all methods proving feasible for clinical use.

More Related Videos

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

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

Published on: January 7, 2021

Assessing Cerebral Autoregulation via Oscillatory Lower Body Negative Pressure and Projection Pursuit Regression

Assessing Cerebral Autoregulation via Oscillatory Lower Body Negative Pressure and Projection Pursuit Regression

Published on: December 10, 2014

Related Experiment Videos

Last Updated: May 22, 2025

In vitro Assessment of Aortic Regurgitation Using Four-Dimensional Flow Magnetic Resonance Imaging

In vitro Assessment of Aortic Regurgitation Using Four-Dimensional Flow Magnetic Resonance Imaging

Published on: February 25, 2022

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

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

Published on: January 7, 2021

Assessing Cerebral Autoregulation via Oscillatory Lower Body Negative Pressure and Projection Pursuit Regression

Assessing Cerebral Autoregulation via Oscillatory Lower Body Negative Pressure and Projection Pursuit Regression

Published on: December 10, 2014

Area of Science:

Biomedical Engineering
Medical Imaging
Cardiovascular Flow Dynamics

Background:

Magnetic resonance imaging (MRI) offers 3D time-resolved relative pressure field estimation via 4D-flow MRI.
Clinical methods like catheterization and Doppler echocardiography provide limited 1D pressure drop data.
Previous research focused on 1D pressure drop accuracy from 4D-flow MRI, necessitating further evaluation of 3D pressure field estimates.

Purpose of the Study:

To analyze and compare the accuracy of three state-of-the-art 3D relative pressure estimators: virtual Work-Energy Relative Pressure, Pressure Poisson Estimator (PPE), and Stokes Estimator (STE).
To assess the spatiotemporal characteristics and noise sensitivity of these estimators.
To validate estimators using a type B aortic dissection (TBAD) flow phantom and clinical patient data.

Main Methods:

Computational analysis (in silico) to determine spatiotemporal characteristics and noise sensitivity.
Validation using a type B aortic dissection (TBAD) flow phantom with varied tear geometry and catheter pressure measurements.
Evaluation across eight patient cases to assess clinical workflow integration.

Main Results:

In silico: Stokes Estimator (STE) showed lower pressure field errors than Pressure Poisson Estimator (PPE), though PPE was less sensitive to noise.
High velocity gradients and low spatial resolution significantly impacted 3D pressure field accuracy; low temporal resolution led to underestimation of peak pressures.
Flow phantom: Virtual Work-Energy method was most accurate, followed by STE and PPE. All estimators correlated well with ground truth, despite underestimating peak pressures.

Conclusions:

All three relative pressure estimators demonstrated feasibility for clinical integration.
The virtual Work-Energy method showed superior accuracy in phantom validation.
Understanding limitations related to velocity gradients, spatial/temporal resolution, and noise is crucial for accurate 3D pressure field interpretation.