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Related Concept Videos

Magnetic Resonance Imaging01:24

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...
Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...
Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

Radiological Investigation II: MRI and Ventilation Perfusion Scan

Description
Magnetic Resonance Imaging (MRI) and Ventilation Perfusion Scans are two radiological investigations that offer detailed diagnostic images of the body, particularly lung structures.
MRI
MRI uses magnetic fields and radiofrequency signals to distinguish between normal and abnormal tissues. This technology provides a more detailed diagnostic image than CT scans, enabling it to characterize pulmonary nodules, stage bronchogenic carcinoma, and evaluate inflammatory activity in...

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Pulmonary Structural MRI using Free-Breathing, Self-Gated Ultra-short Echo Time Imaging
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High-performance computing MRI simulations.

Tony Stöcker1, Kaveh Vahedipour, Daniel Pflugfelder

  • 1Institute of Neuroscience and Medicine-4, Juelich, Germany. t.stoecker@fz-juelich.de

Magnetic Resonance in Medicine
|June 26, 2010
PubMed
Summary
This summary is machine-generated.

JEMRIS, the Jülich Extensible MRI Simulator, is a new open-source software for developing and simulating advanced magnetic resonance imaging (MRI) experiments. It enables general 3D MRI simulations with parallel computing, covering complex hardware aspects previously unaddressed.

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Area of Science:

  • Medical Physics
  • Computational Imaging
  • Software Engineering

Background:

  • Current MRI simulation tools often lack generality and fail to incorporate advanced hardware features.
  • Simulating complex MRI experiments requires significant computational resources, limiting accessibility.
  • There is a need for a versatile, open-source platform for MRI sequence development and simulation.

Purpose of the Study:

  • To introduce JEMRIS (Jülich Extensible MRI Simulator), an open-source software for MRI sequence development and simulation.
  • To provide a general simulation environment for 3D MRI experiments that reflects modern MRI hardware.
  • To enable simultaneous investigation of advanced MRI phenomena, including parallel transmit/receive and off-resonance effects.

Main Methods:

  • Development of an open-source software environment, JEMRIS, for MRI simulation.
  • Implementation of parallel computing to manage computational demands.
  • Integration of features such as parallel transmit and receive, off-resonance effects, nonlinear gradients, and arbitrary spatiotemporal parameter variations.
  • Creation of a user-friendly graphical interface for modeling MRI sequences without programming.

Main Results:

  • JEMRIS offers a general simulation environment for 3D MRI experiments, incorporating modern hardware complexities.
  • The software efficiently handles computational burdens through parallel computing.
  • It uniquely allows simultaneous simulation of multiple advanced MRI aspects, including parallel imaging and motion artifacts.
  • Novel simulation results in active MRI research fields are demonstrated using JEMRIS.

Conclusions:

  • JEMRIS provides a powerful, accessible, and versatile tool for the MRI community.
  • The software facilitates advanced MRI sequence development and simulation, pushing the boundaries of research.
  • Its open-source nature promotes collaboration and innovation in magnetic resonance imaging.