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

The severity of post-infarction edema suggests a bimodal pattern, whereas the extent does not.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance·2026

Same author

Use of Z-Scores and Percentages to Assess Structural Brain MRI Findings in Patients With Schizophrenia.

International journal of methods in psychiatric research·2026

Same author

Native T1-mapping using cardiovascular magnetic resonance detects myocardium at risk during the first week following myocardial infarction in a swine model and in patients - comparison to contrast-enhanced cine steady-state free precession.

BMC cardiovascular disorders·2026

Same author

Multi-center investigation of cardiac diffusion tensor imaging in healthy volunteers by the Society of Cardiovascular Magnetic Resonance Cardiac Diffusion Special Interest Group NETwork (SIGNET).

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance·2025

Same author

Verification of Pathologic ECV Estimated with Clinical T1 Mapping Methods Using an Isotope-based Reference.

Radiology. Cardiothoracic imaging·2025

Same author

Neural networks with personalized training for improved MOLLI T<sub>1</sub> mapping.

BMC medical imaging·2025

Search research articles

Related Experiment Video

Updated: Apr 27, 2026

Multiple-mouse Neuroanatomical Magnetic Resonance Imaging

Multiple-mouse Neuroanatomical Magnetic Resonance Imaging

Published on: February 27, 2011

High performance MRI simulations of motion on multi-GPU systems.

Christos G Xanthis, Ioannis E Venetis, Anthony H Aletras¹

¹Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece. aletras@hotmail.com.

Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance

|July 6, 2014

Summary

This study introduces realistic motion simulation in Magnetic Resonance Imaging (MRI) using a multi-GPU environment. The MRISIMUL software can now model cardiac, respiratory, and flow motion, improving MRI protocol development.

More Related Videos

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Published on: December 18, 2014

Simultaneous PET/MRI Imaging During Mouse Cerebral Hypoxia-ischemia

Simultaneous PET/MRI Imaging During Mouse Cerebral Hypoxia-ischemia

Published on: September 20, 2015

Related Experiment Videos

Last Updated: Apr 27, 2026

Multiple-mouse Neuroanatomical Magnetic Resonance Imaging

Multiple-mouse Neuroanatomical Magnetic Resonance Imaging

Published on: February 27, 2011

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Published on: December 18, 2014

Simultaneous PET/MRI Imaging During Mouse Cerebral Hypoxia-ischemia

Simultaneous PET/MRI Imaging During Mouse Cerebral Hypoxia-ischemia

Published on: September 20, 2015

Area of Science:

Medical Imaging
Computational Physics
Biomedical Engineering

Background:

Existing MRI physics simulators have limited scope in motion modeling.
Realistic motion simulation is crucial for optimizing MRI protocols and training.

Purpose of the Study:

To incorporate realistic motion (cardiac, respiratory, flow) into MRI simulations.
To develop these simulations in a high-performance multi-GPU environment.

Main Methods:

Introduced cardiac, respiratory, and flow motion models into the MRISIMUL software.
Utilized multi-GPU processing for calculating isochromat displacement and implemented software crushers.
Examined simulation performance on single-node and multi-node multi-GPU systems.

Main Results:

Generated Gradient Echo and CINE images demonstrating motion artifacts and myocardial tagging.
Achieved improved simulation performance and image quality with software crushers.
Demonstrated near-linear scalability of MRISIMUL with increasing GPU resources.

Conclusions:

MRISIMUL is the first MR physics simulator to implement complex 3D motion on a multi-GPU system.
The realistic motion models can enhance the design and optimization of MRI pulse sequences and protocols.
This advancement benefits motion-related MR applications.