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 Experiment Videos

MR image reconstruction algorithms for sparse k-space data: a Java-based integration.

R de Beer1, A Coron, D Graveron-Demilly

  • 1Department of Applied Physics, University of Technology Delft, PO Box 5046, 2600 GA Delft, The Netherlands. beer@si.tn.tudelft.nl

Magma (New York, N.Y.)
|November 5, 2002
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Building a national hernia registry in South Africa: initial ventral hernia repair results from a diverse healthcare sector.

Hernia : the journal of hernias and abdominal wall surgery·2020
Same author

Mesostructured silica and aluminosilicate carriers for oxytetracycline delivery systems.

International journal of pharmaceutics·2016
Same author

Changes in mouse brain metabolism following a convulsive dose of soman: a proton HRMAS NMR study.

Toxicology·2009
Same author

Preferential protection of Borrelia burgdorferi sensu stricto by a Salp15 homologue in Ixodes ricinus saliva.

The Journal of infectious diseases·2008
Same author

Quantitation with QUEST of brain HRMAS-NMR signals: application to metabolic disorders in experimental epileptic seizures.

Magnetic resonance in medicine·2008
Same author

Semi-parametric estimation in magnetic resonance spectroscopy: automation of the disentanglement procedure.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2007
Same journal

Influence of gadolinium-based contrast agent (GBCA) on the diffusion weightings of breast lesions: an intra-patient analysis.

Magma (New York, N.Y.)·2026
Same journal

Evaluation of the diffusion time dependence of the IVIM effect based on realistic capillary flow simulations in mouse brain.

Magma (New York, N.Y.)·2026
Same journal

An evaluation of brain volume and cortical thickness measurement at 0.55 T.

Magma (New York, N.Y.)·2026
Same journal

Net zero emission MR imaging using a permanent 0.4 T magnet.

Magma (New York, N.Y.)·2026
Same journal

Special issue on "deuterium metabolic imaging".

Magma (New York, N.Y.)·2026
Same journal

Black-blood dynamic contrast-enhanced MRI of abdominal aortic aneurysms.

Magma (New York, N.Y.)·2026
See all related articles

Researchers developed a unified software system to accelerate magnetic resonance imaging (MRI) scan times by integrating advanced sparse sampling and image reconstruction techniques. This system enhances MRI efficiency through innovative data acquisition strategies.

Area of Science:

  • Medical Imaging
  • Computer Science

Background:

  • Magnetic Resonance Imaging (MRI) scan times are a significant limitation in clinical practice.
  • Current methods for reducing scan time often involve complex data acquisition and reconstruction algorithms.

Purpose of the Study:

  • To develop a unified software system for integrating various MRI scan-time reduction methods.
  • To combine accelerated k-space acquisition with sparse sampling techniques for faster MRI.

Main Methods:

  • Developed an object-oriented software system using Java and Unified Modeling Language (UML).
  • Implemented a client-server architecture supporting multi-client communication and data sharing.
  • Utilized Java Jini package for a reliable, distributed computing environment.

Related Experiment Videos

Main Results:

  • Successfully integrated diverse sparse sampling distributions and reconstruction methods into a single system.
  • The system architecture supports efficient data sharing and reliable distributed computing.
  • Demonstrated a cohesive approach to accelerating MRI data acquisition.

Conclusions:

  • The developed software system provides a robust platform for advanced MRI scan-time reduction.
  • Integration of multiple techniques within a distributed system enhances MRI efficiency and reliability.
  • This approach facilitates further research and development in accelerated MRI acquisition.