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

Optimization of brain conformal mapping with landmarks.

Yalin Wang1, Lok Ming Lui, Tony F Chan

  • 1Mathematics Department, UCLA, Los Angeles, CA 90095, USA. ylwang@math.ucla.edu

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|May 12, 2006
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

Deformation-invariant neural network and its applications in distorted image restoration and analysis.

Neural networks : the official journal of the International Neural Network Society·2025
Same author

Double Transformer Super-Resolution for Breast Cancer ADC Images.

IEEE journal of biomedical and health informatics·2023
Same author

Automatic landmark detection and registration of brain cortical surfaces via quasi-conformal geometry and convolutional neural networks.

Computers in biology and medicine·2023
Same author

Shape analysis via inconsistent surface registration.

Proceedings. Mathematical, physical, and engineering sciences·2020
Same author

Image Retargeting via Beltrami Representation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2018
Same author

Conformal mapping of carotid vessel wall and plaque thickness measured from 3D ultrasound images.

Medical & biological engineering & computing·2017
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 introduces a new method for optimizing brain surface mapping using landmarks. The technique enhances anatomical alignment across subjects while preserving the integrity of conformal parameterization.

Area of Science:

  • Neuroimaging
  • Computational anatomy
  • Differential geometry

Background:

  • Comparing brain data across subjects requires mapping to a canonical space.
  • Conformal mapping of cortical surfaces to a sphere is a common technique.
  • Aligning anatomical features across subjects is crucial but challenging.

Purpose of the Study:

  • To develop a novel method for optimizing conformal parameterization of cortical surfaces using landmarks.
  • To improve the alignment of anatomical features across subjects.
  • To balance landmark matching accuracy with the preservation of conformality.

Main Methods:

  • Proposed a new energy functional for optimizing conformal parameterization.
  • Utilized landmarks to guide the adjustment of mapping.

Related Experiment Videos

  • Experimented on a dataset of 40 brain hemispheres.

    • Main Results:

    • Significantly reduced landmark mismatch energy.
    • Effectively preserved conformality during landmark-based adjustments.
    • Demonstrated that local adjustments minimally impact overall conformality.
    • Showed a trade-off between landmark matching error and conformality based on weighting factors.

    Conclusions:

    • The proposed method offers an effective way to optimize conformal parameterization of cortical surfaces using landmarks.
    • This approach enhances anatomical alignment across subjects while maintaining mapping integrity.
    • The method provides a flexible way to adjust the balance between landmark accuracy and conformality.