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

Mapping image data to stereotaxic spaces: applications to brain mapping

C Davatzikos1

  • 1Department of Radiology, Johns Hopkins School of Medicine, Baltimore, Maryland 21287, USA.

Human Brain Mapping
|October 27, 1998
PubMed
Summary

This study introduces a novel spatial normalization method for brain imaging. It preserves crucial data and enables detailed inter-subject comparisons by mapping homologous brain features using elastic warping.

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

Reproducible Brain Charts: An open data resource for mapping brain development and its associations with mental health.

bioRxiv : the preprint server for biology·2025
Same author

Identification of voxel-based texture abnormalities as new biomarkers for schizophrenia and major depressive patients using layer-wise relevance propagation on deep learning decisions.

Psychiatry research. Neuroimaging·2021
Same author

White Matter Lesion Penumbra Shows Abnormalities on Structural and Physiologic MRIs in the Coronary Artery Risk Development in Young Adults Cohort.

AJNR. American journal of neuroradiology·2019
Same author

A prospective study of focal brain atrophy, mobility and fitness.

Journal of internal medicine·2019
Same author

Modifiable vascular risk factors, white matter disease and cognition in early Parkinson's disease.

European journal of neurology·2018
Same author

Defining SNAP by cross-sectional and longitudinal definitions of neurodegeneration.

NeuroImage. Clinical·2018

Area of Science:

  • Neuroimaging
  • Medical Image Analysis
  • Computational Anatomy

Background:

  • Spatial normalization is crucial for comparing brain images across individuals.
  • Existing methods may struggle to preserve detailed anatomical and functional information.
  • Accurate normalization is essential for robust inter-subject and inter-population analyses.

Purpose of the Study:

  • To present a new methodology for spatial normalization of brain image data.
  • To ensure preservation of functional and structural information during normalization.
  • To facilitate accurate inter-subject and inter-population comparisons of brain morphology.

Main Methods:

  • A mapping approach between homologous features of individual and target brains is employed.
  • A three-dimensional elastic warping transformation is driven by this feature map.

Related Experiment Videos

  • The transformation properties capture subtle individual brain morphological characteristics.

    • Main Results:

    • The proposed methodology successfully preserves functional and structural information.
    • Volume and radioactive agent amounts in brain regions can be calculated from normalized images.
    • The spatial transformation properties effectively capture individual brain morphology.

    Conclusions:

    • The developed methodology offers a robust approach to spatial normalization in neuroimaging.
    • It enables precise quantitative analysis of brain structure and function.
    • This technique enhances the ability to perform detailed comparisons between different subjects or populations.