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 Videos

Unbiased white matter atlas construction using diffusion tensor images.

Hui Zhang1, Paul A Yushkevich, Daniel Rueckert

  • 1Penn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylvania, Philadelphia, USA.

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|November 30, 2007
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

Disparate privacy risks from medical AI.

Nature·2026
Same author

Local and global patterns support medical imaging as a biomarker of ageing.

Communications medicine·2026
Same author

Longitudinal Language-Model Reasoning Enables Automated Labeling of Lung Cancer Recurrence from Unstructured Clinical Records.

Research square·2026
Same author

Multiparametric Free-Breathing 3D Whole-Heart Cardiac MR for Anatomical Bright- and Black-Blood Imaging With Co-Registered <math><semantics><mrow><msub><mrow><mi>T</mi></mrow> <mrow><mn>1</mn></mrow></msub> <mo>/</mo> <msub><mrow><mi>T</mi></mrow> <mrow><mn>2</mn></mrow></msub></mrow> <annotation>$$ {T}_1/{T}_2 $$</annotation></semantics></math> Myocardial Tissue Mapping at <math><semantics><mrow><mn>0</mn> <mo>.</mo> <mn>55</mn></mrow> <annotation>$$ 0.55 $$</annotation></semantics></math> T.

NMR in biomedicine·2026
Same author

A Maturity Model for the Enforcement of PETs in Federated Settings.

Studies in health technology and informatics·2026
Same author

A deep-learning framework reveals whole-body perturbations at cell level.

Nature·2026
Same journal

LiftReg: Limited Angle 2D/3D Deformable Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Inverse Consistency by Construction for Multistep Deep Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Can Crowdsourced Annotations Improve AI-based Congestion Scoring For Bedside Lung Ultrasound?

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Equivariant Filters for Efficient Tracking in 3D Imaging.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Lobar Lung Density Embeddings with a Transformer encoder (LobTe) to predict emphysema progression in COPD.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

uniGradICON: A Foundation Model for Medical Image Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
See all related articles

This study presents a new algorithm for creating unbiased white matter (WM) atlases from diffusion tensor (DT) images. The method uses a novel registration technique to improve the alignment of WM fiber bundles.

Area of Science:

  • Neuroimaging
  • Medical Image Analysis
  • Computational Anatomy

Background:

  • Diffusion Tensor (DT) imaging is crucial for visualizing white matter (WM) structure.
  • Accurate WM atlases are essential for understanding brain anatomy and pathology.
  • Current atlas construction methods may not fully utilize the information within DT images.

Purpose of the Study:

  • To develop an algorithm for unbiased construction of white matter atlases using full information from DT images.
  • To introduce a novel DT image registration method that optimizes tensor orientation.
  • To demonstrate the utility of the proposed approach in creating a WM atlas.

Main Methods:

  • Developed a novel DT image registration method comparing tensors and optimizing orientation.

Related Experiment Videos

  • Formulated unbiased atlas construction using Joshi et al.'s approach to minimize deformation.
  • Adapted the registration algorithm for approximate optimal atlas finding.
  • Constructed a WM atlas from 13 subjects' DT images.

    • Main Results:

    • The proposed DT registration method was demonstrated to be effective.
    • A WM atlas was successfully constructed using the novel algorithm.
    • Comparison with fractional anisotropy (FA) image alignment showed superior orientation alignment with the full tensor method.

    Conclusions:

    • The novel DT registration algorithm enables unbiased WM atlas construction.
    • Utilizing full tensor information provides superior alignment of WM fiber bundle orientations compared to FA-based methods.
    • This approach enhances the accuracy and reliability of white matter atlases.