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

NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

692
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...
692
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

5.1K
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...
5.1K

You might also read

Related Articles

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

Sort by
Same author

Clinical, pathological, and genetic characteristics of 23 DMD patients in northern China.

Orphanet journal of rare diseases·2026
Same author

Submucosal uterine leiomyoma with complete cystic degeneration mimicking an empty gestational sac: a case report and literature review.

Frontiers in medicine·2026
Same author

Bioorthogonal release-mediated targeted degradation of tripartite motif containing 24 protein for atherosclerosis therapy.

Journal of controlled release : official journal of the Controlled Release Society·2026
Same author

Loneliness trajectories in early adolescents during the COVID-19 pandemic: The predictive role of perceived social support.

Journal of child and adolescent mental health·2026
Same author

Stage-specific ultrasound during pH-shifting modulated the structural and functional properties of sunflower seed protein.

Ultrasonics sonochemistry·2026
Same author

Starch Properties Modulate Gluten-Free Steamed Bread Texture via Regulating Structural Evolution During Fermentation.

Journal of texture studies·2026

Related Experiment Video

Updated: Jun 29, 2025

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

1.2K

The "hidden noise" problem in MR image reconstruction.

Jiayang Wang1, Di An1, Justin P Haldar1

  • 1Signal and Image Processing Institute, Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, California, USA.

Magnetic Resonance in Medicine
|April 5, 2024
PubMed
Summary

Hidden noise in reference data can mislead evaluations of image reconstruction methods. Using alternative error metrics that account for noise can improve the accuracy of ranking reconstruction performance.

Keywords:
image quality assessmentimage reconstructionnoise

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

19.5K
Standardized Data Acquisition for Neuromelanin-Sensitive Magnetic Resonance Imaging of the Substantia Nigra
05:14

Standardized Data Acquisition for Neuromelanin-Sensitive Magnetic Resonance Imaging of the Substantia Nigra

Published on: September 8, 2021

3.4K

Related Experiment Videos

Last Updated: Jun 29, 2025

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

1.2K
Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

19.5K
Standardized Data Acquisition for Neuromelanin-Sensitive Magnetic Resonance Imaging of the Substantia Nigra
05:14

Standardized Data Acquisition for Neuromelanin-Sensitive Magnetic Resonance Imaging of the Substantia Nigra

Published on: September 8, 2021

3.4K

Area of Science:

  • Medical Imaging
  • Image Reconstruction
  • Quantitative Analysis

Background:

  • Quantitative error metrics like root mean squared-error and structural similarity index are standard for evaluating image reconstruction.
  • These metrics compare reconstructed images to fully sampled reference data, assuming the reference is a perfect gold standard.

Purpose of the Study:

  • To investigate the impact of "hidden noise" in reference data on the performance ranking of image reconstruction methods.
  • To determine if conventional error metrics are confounded by noise in reference data.

Main Methods:

  • Utilized experimental and simulated k-space data across various image reconstruction techniques.
  • Compared performance metrics derived from noisy reference data versus higher-quality reference data.

Main Results:

  • Reconstruction methods ranked highest with noisy reference data differed significantly from those ranked highest with higher-quality data.
  • Conventional metrics led to suboptimal reconstruction choices when evaluated against noisy references.
  • Alternative error metrics that account for noise reduced these discrepancies.

Conclusions:

  • "Hidden noise" in reference data can significantly mislead the evaluation and ranking of image reconstruction methods using conventional metrics.
  • Employing alternative error metrics that better handle noise is crucial for accurate performance assessment in image reconstruction.