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

Landmark correspondence optimization for coupled surfaces.

Lin Shi1, Defeng Wang, Pheng Ann Heng

  • 1Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China. lshi@cse.cuhk.edu.hk

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

Effects of dietary allicin supplementation on nutrient digestion and gastrointestinal health of Guizhou black goats.

Animal nutrition (Zhongguo xu mu shou yi xue hui)·2026
Same author

Sustained release of quercetin through homogeneous poly (lactic-co-glycolic acid) microspheres to enhance MSCs biofunctions for regenerative therapy.

Regenerative therapy·2026
Same author

Correction: Effects of <i>Flammulina velutipes</i> mushroom residues on growth performance, apparent digestibility, serum biochemical indicators, rumen fermentation and microbial of Guizhou black goat.

Frontiers in microbiology·2026
Same author

Comparing three induction regimens for nasopharyngeal carcinoma: a propensity score-matched analysis.

Therapeutic advances in medical oncology·2026
Same author

Risk Factors for Osteoporotic Vertebral Compression Fracture and Evaluation of Clinical Outcomes of Minimally Invasive Vertebral Augmentation.

Global spine journal·2026
Same author

Druggable targets and immunological mechanisms for type 1 diabetes treatment: Genetic evidence from multi-omics Mendelian randomization combined with meta-analysis.

Diabetic medicine : a journal of the British Diabetic Association·2025
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 novel method for analyzing coupled surfaces in medical imaging, improving statistical model accuracy. The approach enhances landmark correspondence for better generalization and specificity in medical image analysis.

Area of Science:

  • Medical Imaging
  • Computational Anatomy
  • Statistical Modeling

Background:

  • Volumetric layers in medical images present unique challenges due to their double and nested bounding surfaces.
  • Traditional landmarking methods applied separately to each surface may not fully capture the relationship between coupled surfaces.
  • Improved statistical models are needed to leverage the inherent 'surface coupleness' for more accurate analysis.

Purpose of the Study:

  • To develop and evaluate an optimized approach for landmark correspondence on coupled surfaces in medical images.
  • To improve the statistical modeling of volumetric layers by considering their interconnected nature.
  • To enhance the generalization ability and specificity of models derived from coupled surface data.

Main Methods:

Related Experiment Videos

  • Proposed an optimization approach for landmark correspondence on coupled surfaces.
  • Minimized description length incorporating local thickness gradients.
  • Evaluated the method on 2-D synthetic close coupled contours and real-world skull vault data.

    • Main Results:

    • The proposed method demonstrated improved landmark correspondence compared to separate landmarking.
    • Models constructed using the new approach exhibited better generalization ability.
    • Enhanced specificity was observed in the models developed through this technique.

    Conclusions:

    • Optimizing landmark correspondence on coupled surfaces by minimizing description length with thickness gradients is effective.
    • This method offers advantages over traditional separate landmarking for analyzing volumetric layers.
    • The approach shows promise for advancing statistical modeling in medical image analysis, particularly for structures like skull vaults.