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 Video

Updated: Jun 20, 2026

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
06:48

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Published on: January 7, 2019

[Automatic segmentation of brain tissue images based on mathematic morphology].

Hua-feng Wang1, Wu-fan Chen

  • 1Department of Bioengineering, First Military Medical University, Guangzhou 510515, China.

Di 1 Jun Yi Da Xue Xue Bao = Academic Journal of the First Medical College of PLA
|July 20, 2004
PubMed
Summary

Mathematical morphological operators automatically segment brain magnetic resonance (MR) images. These segmented regions are reconstructed in 3D for enhanced clinical analysis.

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

Integrative transcriptomic and genome wide analysis reveals class III peroxidase responses to abiotic stresses in Selenicereus undatus.

Journal of biotechnology·2026
Same author

Spatial metabolomics reveals seed coat-specific accumulation of bioactive polyphenols in <i>Setaria italica</i>: Mechanistic insights from molecular docking and antioxidant profiling.

Food chemistry: X·2026
Same author

Machine learning and functional validation identify OsRAV11/12 as negative regulators of drought tolerance and early flowering in rice.

International journal of biological macromolecules·2025
Same author

Chromosome-level genome assembly of the autotetraploid yellow pitaya provides novel insights into evolution of trait patterning in pitaya species with different ploidy.

Genome biology·2025
Same author

Mycorrhizal symbioses and tree diversity in global forest communities.

Science advances·2025
Same author

Effect of climate on traits of dominant and rare tree species in the world's forests.

Nature communications·2025

Area of Science:

  • Utilizes mathematical morphology, a branch of image processing focused on shape analysis.
  • Applies advanced algorithms to medical imaging data.

Context:

  • Brain magnetic resonance (MR) imaging is crucial for neurological diagnostics.
  • Accurate segmentation of MR images is essential for detailed clinical interpretation.
  • Sequential MR image analysis requires robust segmentation techniques.

Purpose:

  • To automatically and accurately segment brain regions in magnetic resonance (MR) images.
  • To reconstruct segmented regions from sequential MR images into a three-dimensional (3D) model.
  • To facilitate and improve the clinical analysis of brain MR images.

Summary:

  • This study employs mathematical morphological operators for the automated segmentation of brain MR images.

More Related Videos

Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

Manual Segmentation of the Human Choroid Plexus Using Brain MRI
04:25

Manual Segmentation of the Human Choroid Plexus Using Brain MRI

Published on: December 15, 2023

Related Experiment Videos

Last Updated: Jun 20, 2026

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
06:48

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Published on: January 7, 2019

Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

Manual Segmentation of the Human Choroid Plexus Using Brain MRI
04:25

Manual Segmentation of the Human Choroid Plexus Using Brain MRI

Published on: December 15, 2023

  • The segmented anatomical regions are then reconstructed in three dimensions (3D) from sequential image data.
  • This process aids in the comprehensive clinical evaluation of brain structures.

    • Impact:

    • Enhances the precision and efficiency of brain image analysis.
    • Provides a 3D visualization tool for better understanding of brain anatomy.
    • Supports improved diagnostic capabilities in clinical settings through detailed image segmentation.