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

Parallel MRI reconstruction: a filter-bank approach.

Leslie Ying1, Emad Abdelsalam

  • 1Department of Electrical Engineering and Computer Science, University of Wisconsin- Milwaukee.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 7, 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

Highly Accelerated T<sub>1ρ</sub> Imaging in 3 min: Comparison Between Compressed Sensing and Deep Learning Reconstruction.

NMR in biomedicine·2026
Same author

Contrastive Learning for Accelerated MR Fingerprinting.

Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition·2025
Same author

A Coupled Multimodal Planar Transmit RF Array for Ultrahigh Field Spine MR Imaging.

IEEE transactions on bio-medical engineering·2025
Same author

SuperMRF: deep robust reconstruction for highly accelerated magnetic resonance fingerprinting.

Quantitative imaging in medicine and surgery·2025
Same author

Unsupervised denoising of photoacoustic images based on the Noise2Noise network.

Biomedical optics express·2024
Same author

Multi-Modal Federated Learning for Cancer Staging Over Non-IID Datasets With Unbalanced Modalities.

IEEE transactions on medical imaging·2024

This study introduces a new digital filter bank approach for parallel magnetic resonance imaging (MRI) reconstruction. The method improves image quality and speed, particularly with high acceleration factors, outperforming conventional techniques like SENSE.

Area of Science:

  • Medical Imaging
  • Biophysics
  • Signal Processing

Background:

  • Parallel magnetic resonance imaging (MRI) with multichannel coils accelerates imaging.
  • Current reconstruction methods face challenges limiting speed enhancement.
  • Addressing these limitations is crucial for advancing MRI technology.

Purpose of the Study:

  • To reformulate MRI image reconstruction as a digital filter bank problem.
  • To develop an effective algorithm for ill-conditioned reconstruction issues.
  • To enhance speed and image quality in parallel MRI.

Main Methods:

  • The study proposes a novel digital filter bank formulation for image reconstruction.
  • This approach contrasts with the conventional matrix formulation used in SENSE.

Related Experiment Videos

  • An algorithm is developed to manage ill-conditioned reconstruction problems.

    • Main Results:

    • Simulations with an eight-channel configuration were performed.
    • The proposed digital filter bank method demonstrated superiority over SENSE reconstruction.
    • Performance improvements were most significant at large acceleration factors.

    Conclusions:

    • The digital filter bank approach offers a more effective solution for parallel MRI reconstruction.
    • This method overcomes limitations of existing techniques, especially under high acceleration.
    • The findings pave the way for greater speed enhancement in MRI applications.