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

MRI intensity nonuniformity correction using simultaneously spatial and gray-level histogram information.

Julien Milles1, Yue Min Zhu, Gérard Gimenez

  • 1Division of Image Processing, Department of Radiology, Leiden University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands.

Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|January 2, 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

Lesion network localization of depression in multiple sclerosis.

Nature. Mental health·2026
Same author

Current modeling approaches for drug delivery to the central nervous system.

Therapeutic delivery·2026
Same author

Sex differences in progressive multiple sclerosis brain gene expression in oligodendrocytes and OPCs.

BMC medical genomics·2025
Same author

A multimodal 7T MRI and biomarker study reveals reversible brain changes following acute sleep deprivation.

Sleep medicine·2025
Same author

Optimal focused ultrasound lesion location in essential tremor.

Science advances·2025
Same author

Sex differences in progressive multiple sclerosis brain gene expression in oligodendrocytes and OPCs.

bioRxiv : the preprint server for biology·2025
Same journal

Self-supervised isotropic reconstruction for abnormality detection in anisotropic MRI.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

WDBDM: Wavelet-based dual-branch diffusion model for low-dose CT and PET denoising.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

ScribSAM: A robust scribble-supervised framework for spatiotemporal segmentation of breast lesions in ultrasound videos.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

Anatomically and biochemically guided deep image prior for sodium MRI denoising.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

Segment Anything Model for medical image segmentation: A review.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

HiCAF-Net: A Hierarchical Cross-Attention Fusion framework for cross-cancer subtype classification using histopathological and genomic data.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
See all related articles

This study introduces a new method to fix uneven brightness in magnetic resonance imaging (MRI) scans. It effectively corrects intensity nonuniformity even when the true image details are unknown.

Area of Science:

  • Medical Imaging
  • Image Processing
  • Biomedical Engineering

Background:

  • Intensity nonuniformity is a common artifact in magnetic resonance imaging (MRI).
  • This artifact degrades image quality and can hinder accurate diagnosis.
  • Existing correction methods may require known ground truth, which is often unavailable in clinical settings.

Purpose of the Study:

  • To present a novel approach for correcting intensity nonuniformity in MRI.
  • To utilize both spatial and gray-level histogram information for improved correction.
  • To demonstrate the method's effectiveness on phantom and human brain images.

Main Methods:

  • Employing cubic B-spline smoothing to capture spatial information of nonuniformity.
  • Analyzing gray-level histogram information from a frequential perspective.

Related Experiment Videos

  • Simultaneously integrating spatial and histogram data for correction.

    • Main Results:

    • The proposed method demonstrated successful correction of intensity nonuniformity.
    • Results aligned with theoretical predictions on physical phantoms.
    • Effective correction was also observed in human brain MRI scans.
    • The approach proved significant in scenarios where ground truth is unknown.

    Conclusions:

    • The developed method offers a novel and effective solution for MRI intensity nonuniformity.
    • It successfully leverages combined spatial and histogram information.
    • This technique holds promise for improving clinical MRI analysis, especially without ground truth data.