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: May 18, 2026

Whole-Brain Single-Cell Imaging and Analysis of Intact Neonatal Mouse Brains Using MRI, Tissue Clearing, and Light-Sheet Microscopy
08:49

Whole-Brain Single-Cell Imaging and Analysis of Intact Neonatal Mouse Brains Using MRI, Tissue Clearing, and Light-Sheet Microscopy

Published on: August 1, 2022

A template-based automatic skull-stripping approach for mouse brain MR microscopy.

Lan Lin1, Shuicai Wu, Chunlan Yang

  • 1Biomedical Research Center, College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100022, China. lanlin@bjut.edu.cn

Microscopy Research and Technique
|October 5, 2012
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

Beyond gene expression: Single-cell transcriptomics at isoform resolution.

Trends in genetics : TIG·2026
Same author

A Lightweight ScaleDense-Transformer Framework with Auxiliary Quantum-Inspired Bottleneck Module for Whole-Lifespan Brain Age Prediction.

Brain sciences·2026
Same author

State of Health Estimation for Lithium-Ion Batteries via Fused Impedance Feature and V‑Transformer-AGLU Network.

ACS omega·2026
Same author

SafeCodeRL: Security-Constrained Multi-Agent Reinforcement Learning for Trustworthy LLM-Generated IoT/CPS Software.

Sensors (Basel, Switzerland)·2026
Same author

Elucidation of the Material Basis of Yiqi Qingjie Formula Against IgA Nephropathy Using UHPLC-Q-Orbitrap HRMS Integrated with Network Pharmacology.

Journal of visualized experiments : JoVE·2026
Same author

Reinfection and re-revision rates of periprosthetic knee infection under four different surgical strategies: a single centre retrospective observational study.

Frontiers in cellular and infection microbiology·2026

This study introduces an automatic skull-stripping method for mouse magnetic resonance microscopy (MRM) neuroimaging. The technique accurately identifies brain tissue, aiding research in neurodegenerative diseases.

Area of Science:

  • Neuroimaging
  • Computational Neuroanatomy
  • Biomedical Engineering

Background:

  • Small animal magnetic resonance microscopy (MRM) is crucial for computational neuroanatomy.
  • Accurate brain tissue identification in mouse MRM is a fundamental yet often overlooked step in neuroimaging processing.

Purpose of the Study:

  • To present an automatic skull-stripping technique for mouse MRM.
  • To improve the accuracy and efficiency of brain extraction in rodent neuroimaging.

Main Methods:

  • Developed an automatic skull-stripping technique utilizing template models and histogram analysis.
  • Evaluated segmentation accuracy using Jaccard similarity index (JSI) and boundary concordance ratio (BCR).

Main Results:

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

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

Related Experiment Videos

Last Updated: May 18, 2026

Whole-Brain Single-Cell Imaging and Analysis of Intact Neonatal Mouse Brains Using MRI, Tissue Clearing, and Light-Sheet Microscopy
08:49

Whole-Brain Single-Cell Imaging and Analysis of Intact Neonatal Mouse Brains Using MRI, Tissue Clearing, and Light-Sheet Microscopy

Published on: August 1, 2022

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

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

  • The automatic technique achieved high accuracy in brain volume extraction.
  • Mean Jaccard similarity index (JSI) was 97.1% and boundary concordance ratio (BCR) was 94.4%.

Conclusions:

  • The presented method accurately and reliably extracts brain volumes from mouse MRM data.
  • This technique will significantly advance the analysis of neuroimaging studies in rodent models of neurodegenerative diseases.