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

You might also read

Related Articles

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

Sort by
Same author

Direct Chemical Reprogramming of Human Fibroblasts into Retinal Progenitor-like Cells for Ocular Delivery.

Journal of functional biomaterials·2026
Same author

Under renovation: Large-scale societal events induce shifts between moral ideologies.

PloS one·2025
Same author

Multiple toroidal dipole bound states in the continuum in dielectric metasurfaces.

Optics express·2025
Same author

Intrafamilial Phenotypic Variation in Taiwanese Patients with Hereditary Spastic Paraplegia and Charcot-Marie-Tooth Disease Due to KIF5A Mutations: A Cross-Sectional Observational Study.

Acta neurologica Taiwanica·2025
Same author

Referenceless reduction of spin-echo echo-planar imaging distortion with generative displacement mapping.

Magnetic resonance in medicine·2025
Same author

Comparing the risk of subsequent ischemic stroke and mortality in patients with epilepsy and patients with ischemic stroke.

Epilepsy & behavior reports·2025

Related Experiment Video

Updated: Dec 8, 2025

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
08:51

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

Published on: February 19, 2021

9.5K

Technical Note: Optimization of quantitative susceptibility mapping by streaking artifact detection.

Ming-Long Wu1,2, Chun-Kun Wang2, Po-Yu Lin1

  • 1Department of Computer Science and Information Engineering, National Cheng Kung University, No. 1, University Road, Tainan, 70101, Taiwan.

Medical Physics
|September 18, 2020
PubMed
Summary

A new streaking detection method enhances quantitative susceptibility mapping (QSM) by visualizing artifacts. This technique optimizes QSM reconstruction, improving image quality and texture preservation in magnetic resonance imaging.

Keywords:
Hough transformdipole inversionquantitative Susceptibility Mappingstreaking artifacttissue magnetic susceptibility

More Related Videos

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

19.9K
Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy
14:23

Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy

Published on: March 6, 2018

11.2K

Related Experiment Videos

Last Updated: Dec 8, 2025

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
08:51

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

Published on: February 19, 2021

9.5K
Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

19.9K
Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy
14:23

Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy

Published on: March 6, 2018

11.2K

Area of Science:

  • Medical Imaging
  • Image Processing

Background:

  • Quantitative susceptibility mapping (QSM) is crucial in magnetic resonance imaging (MRI) for assessing tissue magnetic susceptibility.
  • Image reconstruction in QSM often faces challenges with streaking artifacts, impacting diagnostic accuracy.

Purpose of the Study:

  • To introduce and validate a novel streaking detection method for evaluating and optimizing QSM reconstruction.
  • To assess the efficacy of streaking detection in balancing artifact suppression and tissue texture preservation.

Main Methods:

  • Nine healthy subjects underwent 3D multi-echo gradient echo scans.
  • A regularized iterative algorithm was used for QSM reconstruction.
  • The proposed streaking detection method was applied for artifact evaluation and optimization, compared against the noise level matching method.

Main Results:

  • The streaking detection technique effectively identified and delineated streaking artifacts in QSM.
  • Optimization using streaking detection successfully determined regularization factors, preserving tissue texture while reducing artifacts.
  • Region of interest (ROI) analyses showed results comparable to the noise level matching method.

Conclusions:

  • Streaking detection provides direct visualization of streaking patterns in QSM.
  • This method is valuable for assessing QSM reconstruction quality and comparing algorithms.
  • Incorporating streaking detection into QSM reconstruction optimization enhances overall image quality and clinical utility.