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

Modeling and Similitude01:12

Modeling and Similitude

323
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
323

You might also read

Related Articles

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

Sort by
Same author

Copper-Coordinated Hyaluronic Acid Hydrogels with Antibacterial and Anti-Inflammatory Activities.

Molecules (Basel, Switzerland)·2026
Same author

Proper Theory of Magnon Orbital Angular Momentum at Equilibrium.

Physical review letters·2026
Same author

Imaging of a van der Waals spin-orbit torque system using spin ensembles in hBN.

Nature communications·2026
Same author

Fibrinogen was associated with subgingival microbiome in periodontal diseases: a pilot study.

Journal of oral microbiology·2026
Same author

Identification and validation of dyslipidemia and glutamate metabolism-associated gene diagnostic and therapeutic repurposing signature for Acute myocardial infarction patients: insights from integrative bioinformatic and multi-omic studies.

Cytotechnology·2026
Same author

Effects of Exercise on PVAT-Derived Exosomes in the Modulation of Vascular Function in Obese Mice.

Applied biochemistry and biotechnology·2026

Related Experiment Video

Updated: Aug 29, 2025

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

7.2K

Utilizing average symmetrical surface distance in active shape modeling for subcortical surface generation with

Pinyuan Zhong, Ran Cheng, Xiaoying Tang

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |September 10, 2022
    PubMed
    Summary

    This study introduces an automated pipeline for generating accurate subcortical surfaces using active shape modeling (ASM) and a novel average symmetrical surface distance (ASSD) loss. This method enhances boundary accuracy and anatomical correctness for brain disorder biomarkers.

    More Related Videos

    Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
    14:14

    Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

    Published on: August 12, 2018

    9.0K
    Analyzing Mitochondrial Morphology Through Simulation Supervised Learning
    12:06

    Analyzing Mitochondrial Morphology Through Simulation Supervised Learning

    Published on: March 3, 2023

    4.2K

    Related Experiment Videos

    Last Updated: Aug 29, 2025

    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

    7.2K
    Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
    14:14

    Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

    Published on: August 12, 2018

    9.0K
    Analyzing Mitochondrial Morphology Through Simulation Supervised Learning
    12:06

    Analyzing Mitochondrial Morphology Through Simulation Supervised Learning

    Published on: March 3, 2023

    4.2K

    Area of Science:

    • Medical image analysis
    • Computational anatomy
    • Neuroimaging

    Background:

    • Subcortical surface segmentation is crucial for understanding brain disorders.
    • Accurate and efficient generation of these surfaces remains a challenge.

    Purpose of the Study:

    • To develop and validate an automated pipeline for subcortical surface generation.
    • To improve boundary accuracy and anatomical topology in segmentation.

    Main Methods:

    • Utilized active shape modeling (ASM) with average symmetrical surface distance (ASSD) loss.
    • Employed large deformation diffeomorphic metric mapping for template generation.
    • Incorporated a slow-fast learning method for parameter optimization.

    Main Results:

    • The proposed pipeline successfully generates accurate subcortical surfaces.
    • Ablation analysis confirmed the importance of the ASSD loss for boundary accuracy.
    • The slow-fast learning method outperformed other optimization algorithms.

    Conclusions:

    • The developed pipeline offers a robust tool for subcortical surface generation.
    • This method provides high accuracy, correct topology, and smoothness.
    • It serves as a valuable tool for biomarker identification in brain disorders.