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

An active contour model for mapping the cortex.

C A Davatzikos1, J L Prince

  • 1Dept. of Electr. & Comput. Eng., Johns Hopkins Univ., Baltimore, MD.

IEEE Transactions on Medical Imaging
|January 1, 1995
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

MTT and Blood-Brain Barrier Disruption within Asymptomatic Vascular WM Lesions.

AJNR. American journal of neuroradiology·2021
Same author

Inter-scanner Variation Independent Descriptors for Constrained Diffeomorphic Demons Registration of Retina OCT.

Proceedings of SPIE--the International Society for Optical Engineering·2019
Same author

A 3D Computational Head Model Under Dynamic Head Rotation and Head Extension Validated Using Live Human Brain Data, Including the Falx and the Tentorium.

Annals of biomedical engineering·2019
Same author

Performance evaluation of MIND demons deformable registration of MR and CT images in spinal interventions.

Physics in medicine and biology·2016
Same author

MIND Demons for MR-to-CT Deformable Image Registration In Image-Guided Spine Surgery.

Proceedings of SPIE--the International Society for Optical Engineering·2016
Same author

Model-based Reconstruction of Objects with Inexactly Known Components.

Proceedings of SPIE--the International Society for Optical Engineering·2015
Same journal

BrainCL: Transformer-Based Brain Network Contrastive Learning with Multi-Order Topology and Salience Masking.

IEEE transactions on medical imaging·2026
Same journal

LLM-enhanced Neuron Segmentation and Reconstruction in Complex Mouse Brain Images.

IEEE transactions on medical imaging·2026
Same journal

Matrixed-Spectrum Decomposition Accelerated Linear Boltzmann Transport Equation Solver for Fast Scatter Correction in Multi-Spectral CT.

IEEE transactions on medical imaging·2026
Same journal

The Ritz Adjoint Method for MRI Pulse Design.

IEEE transactions on medical imaging·2026
Same journal

Physiology-guided Self-supervised Learning for Simultaneous Dual-Tracer PET Separation.

IEEE transactions on medical imaging·2026
Same journal

Informed-Exploration Reinforcement Learning for Automated Virtual Coronary Intervention Planning.

IEEE transactions on medical imaging·2026
See all related articles

A novel active contour model precisely maps brain outer cortex. This method offers improved accuracy for brain image analysis and anatomical studies.

Area of Science:

  • Neuroimaging
  • Medical Image Analysis
  • Computational Anatomy

Background:

  • Accurate segmentation of the brain's outer cortex is crucial for understanding neurological conditions.
  • Existing active contour models face challenges in precisely mapping cortical structures.

Purpose of the Study:

  • To develop and validate a new active contour model for accurate outer cortex mapping in brain images.
  • To model the brain cortex cross-section as a ribbon for spine mapping.

Main Methods:

  • A variational formulation and force balance condition were developed for the active contour model.
  • A numerical approach was implemented, differing from traditional snakes in external force specification.
  • Convexity and frequency domain analyses were used to ensure solution uniqueness and fidelity.

Related Experiment Videos

Main Results:

  • The proposed model successfully mapped the outer cortex in both simulated and real brain image data.
  • A criterion for selecting the regularization coefficient was established, enhancing model stability.
  • The method demonstrated superior performance compared to existing techniques in specific applications.

Conclusions:

  • The new active contour model provides a robust and accurate method for outer cortex segmentation.
  • This technique has significant potential for advancing neuroimaging research and clinical diagnostics.
  • Further research can explore applications in longitudinal studies and complex brain pathologies.