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

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

10.6K
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...
10.6K
Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

398
Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
398

You might also read

Related Articles

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

Sort by
Same author

Exact, time-dependent analytical equations for spiral trajectories and matching gradient and density-correction waveforms.

Magnetic resonance in medicine·2025
Same author

Time-efficient simultaneous fat and water cardiac cine imaging using spiral magnetic resonance imaging.

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

High-quality FLORET UTE imaging for clinical translation.

Magnetic resonance in medicine·2024
Same author

Simultaneous brain and neck time-of-flight MRA using spiral multiband with localized quadratic encoding.

Magnetic resonance in medicine·2024
Same author

A 3D dual-echo spiral sequence for simultaneous dynamic susceptibility contrast and dynamic contrast-enhanced MRI with single bolus injection.

Magnetic resonance in medicine·2024
Same author

Accelerating spiral deblurring with square kernels and low-pass preconditioning.

Magnetic resonance in medicine·2023
Same journal

A Comparison of Tissue Property Values Estimated Using Conventional Cardiac MRF and MT-Cardiac MRF.

Magnetic resonance in medicine·2026
Same journal

Dependence of the Extra-Cellular Diffusion Coefficient on the Fractions of Neurites and Cell Bodies in Gray Matter.

Magnetic resonance in medicine·2026
Same journal

Triple-Pulse <sup>23</sup>Na MRI Sequence (TriNa) for Simultaneous Acquisition of Spin-Density-Weighted and Fluid-Attenuated Images.

Magnetic resonance in medicine·2026
Same journal

Evaluation of Phantom Doping Materials in Quantitative Susceptibility Mapping.

Magnetic resonance in medicine·2026
Same journal

Design of an 8-Channel Transmit 32-Channel Receive 11.7T Head Coil and Evaluation of SNR Gains.

Magnetic resonance in medicine·2026
Same journal

The Potential for Absolute Temperature Imaging Based on Brain Metabolites Using an FID-Shifting Approach in Gradient Echo Planar Spectroscopic Imaging (GREPSI).

Magnetic resonance in medicine·2026
See all related articles

Related Experiment Video

Updated: Apr 21, 2026

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery
09:41

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery

Published on: May 20, 2016

12.9K

Graphical programming interface: A development environment for MRI methods.

Nicholas R Zwart1, James G Pipe1

  • 1Keller Center for Imaging Innovation, Barrow Neurological Institute, Phoenix, Arizona, USA.

Magnetic Resonance in Medicine
|November 12, 2014
PubMed
Summary
This summary is machine-generated.

A new Python-based graphical programming interface simplifies developing MRI techniques. This versatile environment aids algorithm prototyping, testing, and visualization for advanced magnetic resonance imaging methods.

Keywords:
graphical programmingreconstructionspin simulation

More Related Videos

Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies
04:25

Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies

Published on: December 15, 2023

4.2K
High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
10:06

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

Published on: May 10, 2012

13.6K

Related Experiment Videos

Last Updated: Apr 21, 2026

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery
09:41

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery

Published on: May 20, 2016

12.9K
Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies
04:25

Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies

Published on: December 15, 2023

4.2K
High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
10:06

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

Published on: May 10, 2012

13.6K

Area of Science:

  • Medical Imaging
  • Computer Science

Background:

  • Magnetic Resonance Imaging (MRI) technique development requires specialized software tools.
  • Prototyping new MRI algorithms can be complex and time-consuming.

Purpose of the Study:

  • Introduce a multiplatform, Python-based development environment for prototyping MRI techniques.
  • Facilitate visual interaction with scientific algorithm prototypes.

Main Methods:

  • Utilizes an event-driven environment for integrated parameterization, testing, data manipulation, and visualization.
  • Enables rapid implementation by extending built-in functionality through simple code interfaces.

Main Results:

  • Demonstrates algorithm development for non-Cartesian MR reconstruction (PROPELLER, spiral).
  • Includes examples of spin simulation and trajectory visualization (FLORET).

Conclusions:

  • The graphical programming interface is a versatile framework for prototyping numerical algorithms.
  • Supports the development of cutting-edge MRI techniques.