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

Steady-state sequence synthesis and its application to efficient fat-suppressed imaging.

William R Overall1, Dwight G Nishimura, Bob S Hu

  • 1Magnetic Resonance Systems Research Laboratory, Department of Electrical Engineering, Stanford University, Stanford, California 94305, USA. wro@stanford.edu

Magnetic Resonance in Medicine
|August 27, 2003
PubMed
Summary

A new algorithm designs steady-state pulse sequences for artifact-free MRI. This technique enables effective fat suppression in imaging, maintaining standard scan times for improved diagnostic clarity.

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

Design of 3D Non-Cartesian Trajectories for Fast Volumetric MRI via Analytic Coordinate Discretization.

ArXiv·2025
Same author

Image-Space Gridding for Nonrigid Motion-Corrected MR Image Reconstruction.

ArXiv·2025
Same author

High-resolution, respiratory-resolved coronary MRA using a Phyllotaxis-reordered variable-density 3D cones trajectory.

Magnetic resonance imaging·2023
Same author

Reconstruction of undersampled 3D non-Cartesian image-based navigators for coronary MRA using an unrolled deep learning model.

Magnetic resonance in medicine·2020
Same author

Combined T<sub>2</sub> -preparation and multidimensional outer volume suppression for coronary artery imaging with 3D cones trajectories.

Magnetic resonance in medicine·2019
Same author

Banding-free balanced SSFP cardiac cine using frequency modulation and phase cycle redundancy.

Magnetic resonance in medicine·2019

Area of Science:

  • Magnetic Resonance Imaging
  • Pulse Sequence Design
  • Signal Processing

Background:

  • Conventional steady-state free precession (SSFP) sequences often suffer from banding artifacts due to off-resonant spins.
  • Achieving effective and robust fat suppression in SSFP imaging remains a challenge.
  • The Shinnar-Le Roux (SLR) transform provides a framework for designing complex RF pulses.

Purpose of the Study:

  • To develop a novel synthesis algorithm for generating refocused SSFP sequences with arbitrary magnetization profiles.
  • To apply this algorithm for creating SSFP sequences with flat profiles to eliminate banding artifacts.
  • To utilize the algorithm for developing SSFP sequences capable of broad steady-state fat suppression.

Main Methods:

  • A new synthesis algorithm based on the Shinnar-Le Roux (SLR) transform was developed.

Related Experiment Videos

  • The algorithm allows for periodic oscillation of RF excitation magnitude and phase to control magnetization profiles.
  • Refocused-SSFP sequences with flat and attenuated signal profiles were designed and implemented.
  • Main Results:

    • The developed algorithm successfully generated refocused-SSFP sequences with flat profiles, mitigating banding artifacts.
    • Sequences designed for steady-state fat suppression demonstrated a broad region of signal attenuation.
    • Preliminary results showed excellent agreement between theoretical predictions and experimental signal levels.
    • 3D fat-suppressed images of the human leg were acquired in 44 seconds, showcasing clinical applicability.

    Conclusions:

    • The novel SLR-based algorithm enables the creation of artifact-free, refocused SSFP sequences with tailored magnetization profiles.
    • This technique offers a robust solution for steady-state fat suppression in MRI.
    • The developed sequences are clinically applicable, allowing for fast, fat-suppressed 3D imaging.