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 Concept Videos

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

7.8K
Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
7.8K
Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

67
Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
67
Atomic Nuclei: Magnetic Resonance01:05

Atomic Nuclei: Magnetic Resonance

793
The number of nuclear spins aligned in the lower energy state is slightly greater than those in the higher energy state. In the presence of an external magnetic field, as the spins precess at the Larmor frequency, the excess population results in a net magnetization oriented along the z axis. When a pulse or a short burst of radio waves at the Larmor frequency is applied along the x axis, the coupling of frequencies causes resonance and flips the nuclear spins of the excess population from the...
793
NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

797
When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
797

You might also read

Related Articles

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

Sort by
Same author

CSVSUF: A Deep Unfolding Framework for Compressive Spectral Video Sensing.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Mamba2SVN: a Mamba2 and reconstruction-cooperative sensitivity refinement-based variational network for parallel MRI reconstruction.

Physics in medicine and biology·2026
Same author

CSSL-ISRVN: consistency self-supervised learning integrating ISTANet and sensitivity refinement-enhanced variational network for accelerated MRI reconstruction.

Physics in medicine and biology·2026
Same author

Transformer- and joint learning-based dual-domain networks for undersampled MRI segmentation.

Medical physics·2024
Same author

FCSSL: fusion enhanced contrastive self-supervised learning method for parallel MRI reconstruction.

Physics in medicine and biology·2024
Same author

DFUSNN: zero-shot dual-domain fusion unsupervised neural network for parallel MRI reconstruction.

Physics in medicine and biology·2024

Related Experiment Video

Updated: Oct 4, 2025

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

19.7K

Iterative self-consistent parallel magnetic resonance imaging reconstruction based on nonlocal low-rank

Ting Pan1, Jizhong Duan1, Junfeng Wang2

  • 1Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China.

Magnetic Resonance Imaging
|February 3, 2022
PubMed
Summary

We introduce a novel Nonlocal Low-Rank (NLR)-SPIRiT model for parallel magnetic resonance imaging (PMRI). This method enhances image reconstruction by leveraging nonlocal self-similarity and calibration consistency, outperforming existing techniques.

Keywords:
Alternating direction method of multipliers (ADMM)Compressed sensing (CS)Iterative self-consistent parallel imaging reconstruction (SPIRiT)Nash equilibrium (NE)Nonlocal low-rank (NLR)Parallel magnetic resonance imaging (PMRI)Weighted nuclear norm (WNN)

More Related Videos

Author Spotlight: Using Hyperpolarized Xenon-129 MRI to Study Lung Diseases
09:55

Author Spotlight: Using Hyperpolarized Xenon-129 MRI to Study Lung Diseases

Published on: January 5, 2024

1.4K
High-resolution Structural Magnetic Resonance Imaging of the Human Subcortex In Vivo and Postmortem
08:16

High-resolution Structural Magnetic Resonance Imaging of the Human Subcortex In Vivo and Postmortem

Published on: December 30, 2015

15.5K

Related Experiment Videos

Last Updated: Oct 4, 2025

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

19.7K
Author Spotlight: Using Hyperpolarized Xenon-129 MRI to Study Lung Diseases
09:55

Author Spotlight: Using Hyperpolarized Xenon-129 MRI to Study Lung Diseases

Published on: January 5, 2024

1.4K
High-resolution Structural Magnetic Resonance Imaging of the Human Subcortex In Vivo and Postmortem
08:16

High-resolution Structural Magnetic Resonance Imaging of the Human Subcortex In Vivo and Postmortem

Published on: December 30, 2015

15.5K

Area of Science:

  • Medical Imaging
  • Magnetic Resonance Imaging (MRI)
  • Image Reconstruction

Background:

  • Parallel magnetic resonance imaging (PMRI) relies on reconstruction models like Iterative Self-Consistent Parallel Imaging Reconstruction (SPIRiT).
  • Existing SPIRiT models incorporate regularization terms such as L1 norm of wavelet/tight frame coefficients, total variation (TV), and simultaneous two-directional low-rankness (STDLR) to improve reconstruction.
  • Recent advancements utilize nonlocal self-similarity (NSS) via nonlocal low-rankness of image patches for superior performance.

Purpose of the Study:

  • To develop an advanced reconstruction model that integrates both NSS in MR images and calibration consistency in k-space.
  • To propose the Nonlocal Low-Rank (NLR)-SPIRiT model by incorporating NLR regularization into the existing SPIRiT framework.

Main Methods:

  • The proposed NLR-SPIRiT model incorporates Nonlocal Low-Rank (NLR) regularization.
  • Weighted Nuclear Norm (WNN) is used as a rank surrogate.
  • The model is efficiently solved using the Nash Equilibrium (NE) formulation and the Alternating Direction Method of Multipliers (ADMM).

Main Results:

  • Experimental results show that NLR-SPIRiT significantly outperforms state-of-the-art methods.
  • Superior performance is validated through three objective metrics.
  • Visual comparisons confirm the enhanced reconstruction quality provided by NLR-SPIRiT.

Conclusions:

  • The NLR-SPIRiT model effectively combines image nonlocal self-similarity with k-space calibration consistency for improved PMRI.
  • The proposed method offers a significant advancement in parallel MRI reconstruction, achieving better accuracy and visual quality.
  • NLR-SPIRiT represents a promising approach for enhancing MR image reconstruction.