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

You might also read

Related Articles

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

Sort by
Same author

Longitudinal FreeSurfer with non-linear subject-specific template improves sensitivity to cortical thinning.

Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition·2026
Same author

Improved, rapid fetal-brain localization and orientation detection for auto-slice prescription.

Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition·2026
Same author

Fast, automated slice prescription of standard anatomical planes for fetal brain MRI.

Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition·2026
Same author

Learning-based segmentation of diffusion-weighted MR images with arbitrary <i>q</i>-space samplings.

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

AFM imaging reveals the unreconstructed α‑Al<sub>2</sub>O<sub>3</sub>(0001) surface to be inhomogeneous and rough.

Nature communications·2026
Same author

MR software tools for real-time decision making and FOV prescription.

Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition·2026
Same journal

Measurement prediction and power analysis for fNIRS and DOT.

Imaging neuroscience (Cambridge, Mass.)·2026
Same journal

Individualized mapping of functional brain networks in older adulthood.

Imaging neuroscience (Cambridge, Mass.)·2026
Same journal

Is the whole more than the sum of its parts? Considering global and local features of the connectome improves prediction of individuals and phenotypes.

Imaging neuroscience (Cambridge, Mass.)·2026
Same journal

The language network responds robustly to sentences across tasks.

Imaging neuroscience (Cambridge, Mass.)·2026
Same journal

Neighborhood disadvantage and brain myelination: Insights from infancy to childhood.

Imaging neuroscience (Cambridge, Mass.)·2026
Same journal

Meditation and neurofeedback: A systematic scoping review, synthesis, and future directions.

Imaging neuroscience (Cambridge, Mass.)·2026
See all related articles

Related Experiment Video

Updated: May 14, 2026

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation
16:23

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation

Published on: May 23, 2017

FastSurfer-CC: A robust, accurate, and comprehensive framework for corpus callosum morphometry.

Clemens Pollak1, Kersten Diers1, Santiago Estrada1

  • 1AI in Medical Imaging, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.

Imaging Neuroscience (Cambridge, Mass.)
|May 13, 2026
PubMed
Summary
This summary is machine-generated.

FastSurfer-CC offers automated corpus callosum morphometry for brain aging and disease research. This new tool surpasses existing methods, revealing subtle differences in Huntington's disease patients.

Keywords:
commissurecorpus callosumdeep learninghead poselocalizationsegmentation

More Related Videos

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging
11:50

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging

Published on: February 4, 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

Related Experiment Videos

Last Updated: May 14, 2026

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation
16:23

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation

Published on: May 23, 2017

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging
11:50

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging

Published on: February 4, 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

Area of Science:

  • Neuroimaging
  • Brain Anatomy
  • Neurological Disorders

Background:

  • The corpus callosum is vital for brain research on aging and disease.
  • Current segmentation tools lack comprehensive automation.
  • Accurate morphometry is crucial for clinical trials and understanding neurological conditions.

Purpose of the Study:

  • To introduce FastSurfer-CC, an automated framework for corpus callosum morphometry.
  • To provide a comprehensive analysis pipeline for corpus callosum segmentation and shape metrics.
  • To improve the detection of subtle brain differences in neurological diseases.

Main Methods:

  • FastSurfer-CC automates mid-sagittal slice identification and segmentation of the corpus callosum and fornix.
  • It localizes anterior and posterior commissures for head position standardization.
  • The framework generates thickness profiles, subdivisions, and eight shape metrics for statistical analysis.

Main Results:

  • FastSurfer-CC demonstrates superior performance in individual segmentation and morphometric tasks compared to existing tools.
  • The method successfully identified statistically significant differences between Huntington's disease patients and healthy controls.
  • These differences were not detectable by current state-of-the-art methods.

Conclusions:

  • FastSurfer-CC provides an efficient and fully automated solution for corpus callosum morphometry.
  • The tool enhances the analysis of brain structure in aging and neurological disease research.
  • FastSurfer-CC has the potential to improve biomarker discovery and clinical trial analysis.