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

Self-calibrated GRAPPA method for 2D and 3D radial data.

Arjun Arunachalam1, Alexey Samsonov, Walter F Block

  • 1Department of Electrical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA. arjun@uwalumni.com

Magnetic Resonance in Medicine
|April 26, 2007
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

Dose Reduction with Gadopiclenol: Implications for DSC Perfusion Imaging.

AJNR. American journal of neuroradiology·2026
Same author

MC BTS: Simultaneously Resolving Magnetization Transfer Effect and Relaxation for Multiple Components.

Magnetic resonance in medicine·2025
Same author

Quantitative MRI comparison of early and late parenchymal injury after transcallosal vs. endoscopic approaches for third ventricle colloid cysts.

Frontiers in surgery·2025
Same author

MC BTS: simultaneously resolving magnetization transfer effect and relaxation for multiple components.

ArXiv·2025
Same author

Magnetic resonance imaging for computer-assisted device guidance in transperineal prostate biopsy and cryoablation.

Translational andrology and urology·2025
Same author

MR-Guidance of Gene Therapy for Brain Diseases: Moving From Palliative Treatment to Cures.

Journal of magnetic resonance imaging : JMRI·2025
Same journal

Feasibility and SNR Performance of Hyperpolarized <sup>129</sup>Xe Gas Exchange Imaging Using a Balanced SSFP Sequence.

Magnetic resonance in medicine·2026
Same journal

Multi-Contrast Human Brain CEST MRI at 11.7 T: First In Vivo Demonstration.

Magnetic resonance in medicine·2026
Same journal

Suppression of Oscillation and Ghosting in RF-Spoiled Gradient-Echo-Based Dynamic Imaging.

Magnetic resonance in medicine·2026
Same journal

A Simple, Dynamic Geometric Phantom for MRI and CT Reconstruction Pipelines: Beyond Shepp-Logan.

Magnetic resonance in medicine·2026
Same journal

7T 3D-EPI PCASL With High SNR Efficiency and Robustness to Through-Plane B<sub>0</sub> Field Gradients.

Magnetic resonance in medicine·2026
Same journal

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

Magnetic resonance in medicine·2026
See all related articles

This study introduces a self-calibrating parallel MRI (pMRI) reconstruction method for radial trajectories, eliminating the need for separate training data acquisition. This fast pMRI technique enhances imaging efficiency for 2D and 3D scans.

Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Medical Imaging Reconstruction
  • Parallel Imaging Techniques

Background:

  • Traditional radial generalized autocalibrating partially parallel acquisitions (GRAPPA) requires dedicated training data acquisition.
  • This pre-scan data requirement limits the efficiency of parallel MRI (pMRI) for radial trajectories.
  • Self-calibration offers a potential solution to overcome this limitation.

Purpose of the Study:

  • To develop and validate a fast, self-calibrating parallel MRI reconstruction method for 2D and 3D radial trajectories.
  • To eliminate the need for separate training data acquisition in radial GRAPPA.
  • To improve the efficiency and applicability of pMRI in clinical settings.

Main Methods:

  • A novel self-calibration approach is proposed to synthesize missing coil-specific data for pMRI reconstruction.

Related Experiment Videos

  • Spatial sensitivity profiles are estimated from Nyquist-satisfying k-space data.
  • Reconstruction weights are derived by fitting acquired k-space data to synthesize unacquired radial lines.
  • The method was applied to 2D abdominal imaging and preliminary 3D radial steady-state free precession (SSFP) datasets.

    • Main Results:

    • The self-calibration method successfully synthesizes missing k-space data for radial GRAPPA.
    • Demonstrated in vivo feasibility for 2D radial abdominal MRI.
    • Preliminary results show promise for 3D radial SSFP imaging.

    Conclusions:

    • The presented self-calibrating pMRI reconstruction method effectively eliminates the need for training data acquisition.
    • This technique offers a faster and more efficient approach for 2D and 3D radial MRI.
    • The method holds potential for broader clinical applications of accelerated MRI.