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 Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Machine Learning-Based Identification of Craniosynostosis From Nonsynostotic Cranial Deformities.

The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association·2026
Same author

Differences in Fat Depots, Cardiometabolic Risk Factors, and Insulin Resistance Between Active and Passive School Commuters.

Pediatric obesity·2026
Same author

BabyFlow: 3D modeling of realistic and expressive infant faces.

Scientific reports·2026
Same author

Time-restricted eating, liver health, and fecal microbiota in adults with overweight or obesity: a randomized controlled trial.

JHEP reports : innovation in hepatology·2026
Same author

Unlocking 3D baby face photogrammetry: Multi-view BabyMorph reconstruction from uncalibrated photographs.

Expert systems with applications·2026
Same author

LUMEN: LONGITUDINAL MULTI-MODAL RADIOLOGY MODEL FOR PROGNOSIS AND DIAGNOSIS.

Proceedings. IEEE International Symposium on Biomedical Imaging·2026

Related Experiment Video

Updated: May 2, 2026

Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

6.6K

Multiresolution hierarchical shape models in 3D subcortical brain structures.

Juan J Cerrolaza1, Noemí Carranza Herrezuelo2, Arantxa Villanueva3

  • 1Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Medical Center, Washington DC, USA. JCerrola@cnmc.com

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|March 1, 2014
PubMed
Summary

This study introduces a new Multiresolution Hierarchical Point Distribution Model (MRH-PDM) that requires fewer training samples for complex 3D medical imaging tasks. The method accurately models inter-object relationships and individual structures, improving accuracy in brain imaging analysis.

More Related Videos

Author Spotlight: Advancing 3D Cytoarchitecture Analysis - Rapid Volumetric Reconstruction of the Human Brain
06:52

Author Spotlight: Advancing 3D Cytoarchitecture Analysis - Rapid Volumetric Reconstruction of the Human Brain

Published on: January 26, 2024

2.8K
3D Modeling of the Lateral Ventricles and Histological Characterization of Periventricular Tissue in Humans and Mouse
15:26

3D Modeling of the Lateral Ventricles and Histological Characterization of Periventricular Tissue in Humans and Mouse

Published on: May 19, 2015

13.8K

Related Experiment Videos

Last Updated: May 2, 2026

Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

6.6K
Author Spotlight: Advancing 3D Cytoarchitecture Analysis - Rapid Volumetric Reconstruction of the Human Brain
06:52

Author Spotlight: Advancing 3D Cytoarchitecture Analysis - Rapid Volumetric Reconstruction of the Human Brain

Published on: January 26, 2024

2.8K
3D Modeling of the Lateral Ventricles and Histological Characterization of Periventricular Tissue in Humans and Mouse
15:26

3D Modeling of the Lateral Ventricles and Histological Characterization of Periventricular Tissue in Humans and Mouse

Published on: May 19, 2015

13.8K

Area of Science:

  • Medical Imaging
  • Computer Vision
  • Computational Anatomy

Background:

  • Point Distribution Models (PDM) are widely used for sample population characterization, particularly in medical imaging.
  • A significant limitation of PDMs is the large number of training samples required, especially for complex 3D multiobject modeling.

Purpose of the Study:

  • To address the sample size limitation of traditional PDMs.
  • To develop an efficient method for modeling complex 3D structures and their relationships.

Main Methods:

  • Introduction of a Multiresolution Hierarchical Point Distribution Model (MRH-PDM).
  • Utilizes 3D wavelet transform for multiresolution analysis.
  • Characterizes inter-object relationships and individual element locality.

Main Results:

  • MRH-PDM demonstrates significant accuracy advantages over previous methods.
  • Successfully verified for modeling 3D subcortical brain structures.
  • Efficiently characterizes complex 3D anatomical data.

Conclusions:

  • MRH-PDM offers a more efficient and accurate approach to statistical shape analysis in medical imaging.
  • The method effectively handles the challenges of modeling 3D multiobject datasets with reduced sample requirements.