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

Lumped-element planar strip array (LPSA) for parallel MRI.

Ray F Lee1, Christopher J Hardy, Daniel K Sodickson

  • 1Department of Radiology, New York University, New York, New York 10016, USA. ray.lee@med.nyu.edu

Magnetic Resonance in Medicine
|January 6, 2004
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

L-TGVN: Leveraging Longitudinal Priors for Personalized Rapid MRI.

ArXiv·2026
Same author

Seeing my way.

Current problems in diagnostic radiology·2026
Same author

Accurate, fair, and generalisable scaling of injury severity score-based AI with demographics in terms of mortality in patients with trauma: multi-centre, multi-national retrospective cohort study.

EBioMedicine·2026
Same author

Commentary on Mid and Low-Field MR Imaging Systems: What Does the Future Hold?

Journal of computer assisted tomography·2026
Same author

Prehospital real-time AI for trauma mortality prediction: a multi-institutional and multi-national validation study.

Nature communications·2026
Same author

Artificial Intelligence in Prostate MRI: Addressing Current Limitations Through Emerging Technologies.

Journal of magnetic resonance imaging : JMRI·2025
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

This study introduces a tunable lumped-element planar strip array (LPSA) for faster MRI scans. The LPSA improves signal-to-noise ratio (SNR) and allows for optimized coil geometry, enhancing parallel MRI performance.

Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Radiofrequency (RF) Coil Design
  • Medical Physics

Background:

  • The planar strip array (PSA) offers reduced MRI scan times using numerous decoupled RF strip detectors tuned to a quarter-wavelength (λ/4).
  • PSAs provide enhanced spatial information for reduced aliasing artifacts in parallel MRI compared to loop arrays.
  • Limitations of PSAs include potential signal-to-noise ratio (SNR) loss at Larmor frequencies and restricted geometric tunability.

Purpose of the Study:

  • To develop a tunable lumped-element planar strip array (LPSA) to overcome the limitations of the conventional PSA.
  • To improve SNR and allow for geometric optimization of RF coils for specific MRI applications.
  • To theoretically analyze and experimentally validate the performance of the LPSA for parallel MRI.

Main Methods:

Related Experiment Videos

  • The dielectric substrate of the PSA was replaced with discrete capacitors to create the LPSA.
  • Theoretical analysis included equivalent circuits, electromagnetic fields, SNR, and g-factor mapping for parallel MRI.
  • A four-element LPSA prototype was constructed and tested with quantitative imaging measurements.

Main Results:

  • The LPSA demonstrated improved SNR compared to the conventional PSA.
  • The LPSA's dimensions were tunable, allowing optimization for specific regions of interest (ROI) and MRI frequencies.
  • Experimental measurements validated the theoretical predictions for the LPSA's performance in parallel MRI.

Conclusions:

  • The tunable LPSA effectively addresses the SNR limitations and geometric constraints of the conventional PSA.
  • The LPSA enables optimized RF coil design for enhanced parallel MRI performance across various applications.
  • This advancement facilitates faster and potentially higher-quality MRI scans through improved coil technology.