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

Group Joint ICA (gjICA): A Method for Multimodal Fusion of Concurrent EEG and fMRI Data.

Human brain mapping·2026
Same author

Aberrant recovery of timescale-aligned amplitude balance links to symptoms and cognition in schizophrenia.

Translational psychiatry·2026
Same author

Multimodal subspace independent vector analysis effectively captures latent relationships between brain structure and function.

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

Large-scale brain dynamics are organized by a directional coordination hierarchy.

bioRxiv : the preprint server for biology·2026
Same author

Structure-function coupling of large-scale cortical networks across the lifespan is spectrally specific.

Communications biology·2026
Same author

Modeling Complex Effects and Individual Variability in Multi-Paradigm fMRI with Nonlinear Mixed Models.

bioRxiv : the preprint server for biology·2026

Related Experiment Video

Updated: Jun 18, 2025

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

3.6K

A Novel Registration Framework for Aligning Longitudinal Infant Brain Tensor Images.

Kuaikuai Duan1,2,3, Longchuan Li1,2, Vince D Calhoun3

  • 1Marcus Autism Center, Children's Healthcare of Atlanta, Atlanta, Georgia USA.

Biorxiv : the Preprint Server for Biology
|July 29, 2024
PubMed
Summary

Registering infant brain images is difficult due to rapid changes. This study introduces a novel groupwise registration method for diffusion tensor images (DTI), improving accuracy for longitudinal infant neuroimaging.

Keywords:
Image registrationLongitudinal infant brain imagesdiffusion tensor imagesgroupwise registrationimage similaritytensor-based registration

More Related Videos

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

28.4K
Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

42.6K

Related Experiment Videos

Last Updated: Jun 18, 2025

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

3.6K
Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

28.4K
Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

42.6K

Area of Science:

  • Neuroimaging
  • Medical Image Analysis
  • Developmental Neuroscience

Background:

  • Infant brain imaging presents registration challenges due to rapid developmental changes.
  • Diffusion tensor imaging (DTI) offers consistent tissue properties for infant brain registration.
  • Groupwise registration is preferred in infant studies to avoid atlas bias.

Purpose of the Study:

  • To develop a novel groupwise registration method for longitudinal infant DTI images.
  • To align infant DTI data to a sample-specific common space, reducing registration bias.

Main Methods:

  • Proposed a novel groupwise registration approach for longitudinal infant DTI images.
  • Clustered DTI images into subgroups using Louvain clustering based on image similarity.
  • Applied tensor-based registration within subgroups and then aligned subgroups to a common space.

Main Results:

  • The novel approach significantly improved global and local registration accuracy compared to standard methods.
  • Clustering based on image similarity enhanced registration accuracy more than no clustering.
  • Registration accuracy with image similarity clustering was comparable to chronological age clustering.

Conclusions:

  • The developed groupwise registration framework accurately aligns longitudinal infant brain DTI images.
  • This method capitalizes on consistent tensor map features in early infancy.
  • Facilitates more precise alignment for infant neuroimaging research.