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

Multiple Sclerosis l: Introduction01:19

Multiple Sclerosis l: Introduction

4
Multiple sclerosis is a chronic autoimmune disease of the central nervous system (CNS) that affects the brain, spinal cord, and optic nerves. It is an inflammatory demyelinating disorder and a leading cause of neurological disability in young adults.EpidemiologyMS commonly begins between 20 and 40 years of age and is twice as common in women. Its exact cause remains unclear, but genetic susceptibility contributes, with higher risk in first-degree relatives and identical twins. A greater...
4

You might also read

Related Articles

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

Sort by
Same author

An automated quantitative report for multiple sclerosis using only 3D T2-fluid-attenuated inversion recovery MRI.

Neuroradiology·2026
Same author

Structure-function multilayer network integration and cognition in multiple sclerosis.

Network neuroscience (Cambridge, Mass.)·2026
Same author

Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS.

Annals of clinical and translational neurology·2026
Same author

Brain Age Estimation on T2-FLAIR Scans for Application to Multiple Sclerosis.

Human brain mapping·2026
Same author

Deep generative computed perfusion-deficit mapping of ischaemic stroke.

Communications biology·2026
Same author

Cognitive outcomes in multiple sclerosis are shaped by divergent functional connectivity trajectories.

Brain communications·2026

Related Experiment Video

Updated: Apr 19, 2026

Positron Emission Tomography Imaging for In Vivo Measuring of Myelin Content in the Lysolecithin Rat Model of Multiple Sclerosis
08:40

Positron Emission Tomography Imaging for In Vivo Measuring of Myelin Content in the Lysolecithin Rat Model of Multiple Sclerosis

Published on: February 28, 2021

4.6K

A modality-agnostic patch-based technique for lesion filling in multiple sclerosis.

Ferran Prados, Manuel Jorge Cardoso, David MacManus

    Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
    |December 9, 2014
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new method for filling Multiple Sclerosis lesions in brain images, reducing analysis bias. The novel in-painting technique preserves anatomical details better than previous methods.

    More Related Videos

    Comprehensive Autopsy Program for Individuals with Multiple Sclerosis
    09:41

    Comprehensive Autopsy Program for Individuals with Multiple Sclerosis

    Published on: July 19, 2019

    12.2K
    Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
    10:25

    Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

    Published on: September 25, 2019

    49.8K

    Related Experiment Videos

    Last Updated: Apr 19, 2026

    Positron Emission Tomography Imaging for In Vivo Measuring of Myelin Content in the Lysolecithin Rat Model of Multiple Sclerosis
    08:40

    Positron Emission Tomography Imaging for In Vivo Measuring of Myelin Content in the Lysolecithin Rat Model of Multiple Sclerosis

    Published on: February 28, 2021

    4.6K
    Comprehensive Autopsy Program for Individuals with Multiple Sclerosis
    09:41

    Comprehensive Autopsy Program for Individuals with Multiple Sclerosis

    Published on: July 19, 2019

    12.2K
    Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
    10:25

    Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

    Published on: September 25, 2019

    49.8K

    Area of Science:

    • Medical Imaging
    • Neuroimaging
    • Biomedical Engineering

    Background:

    • Multiple Sclerosis (MS) lesions complicate brain image analysis, causing segmentation issues and biased morphometric measurements.
    • Current lesion filling methods, which replace lesions with normal-appearing white matter, can introduce errors due to segmentation inaccuracies or proximity to other brain structures.

    Purpose of the Study:

    • To develop and evaluate a novel lesion filling strategy for Multiple Sclerosis brain images.
    • To reduce bias and artifacts in morphometric estimates caused by MS lesions.

    Main Methods:

    • Implementation of a patch-based Non-Local Means algorithm for image in-painting.
    • The algorithm fills lesions with plausible image textures rather than simply assigning white matter intensity.

    Main Results:

    • The proposed in-painting technique demonstrated reduced bias and fewer artifacts compared to traditional methods.
    • Preservation of anatomical structure and signal-to-noise ratio was maintained, even with lesions near grey matter and cerebrospinal fluid.

    Conclusions:

    • The novel lesion filling strategy offers improved accuracy and reliability in Multiple Sclerosis image analysis.
    • This method effectively handles complex lesion characteristics, avoiding common issues like blurring and rasterization.