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

Estimating head circumference from pediatric imaging studies an improved method.

Houri K Vorperian1, Reid B Durtschi, Shubing Wang

  • 1Waisman Center, University of Wisconsin-Madison, 1500 Highland Avenue, Room 430, Madison, WI 53705, USA. vorperian@waisman.wisc.edu

Academic Radiology
|August 21, 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

Large language model-guided CAR-T in silico platform for cytokine optimization in liver cancer with low antigen density.

Journal of hematology & oncology·2026
Same author

CellVision: A deep learning based image analysis platform to accelerate immuno-plaque assay data processing for dengue vaccine development.

SLAS discovery : advancing life sciences R & D·2026
Same author

COUNTERFACTUAL ANALYSIS OF BRAIN NETWORK DYNAMICS.

ArXiv·2026
Same author

SULCAL PATTERN MATCHING WITH THE WASSERSTEIN DISTANCE.

ArXiv·2026
Same author

Thermodynamic rigidity of harmonic brain states relates to general mental ability in juvenile myoclonic epilepsy.

bioRxiv : the preprint server for biology·2026
Same author

Disrupted Higher-Order Topology in OCD Brain Networks Revealed by Hodge Laplacian - an ENIGMA Study.

bioRxiv : the preprint server for biology·2026

This study presents a new method to estimate head circumference (HC) from medical imaging, accounting for nonlinear growth and sex differences. The model accurately predicts HC measurements when direct taping is not possible.

Area of Science:

  • Medical imaging analysis
  • Pediatric development
  • Biometric estimation

Background:

  • Head circumference (HC) is a critical indicator of child development, essential in clinical and research settings.
  • Direct HC measurement can be challenging or impossible in certain imaging scenarios.
  • Existing methods often fail to account for nonlinear growth patterns and sex-specific differences in HC development.

Purpose of the Study:

  • To develop and validate a novel method for estimating head circumference (HC) from medical imaging data.
  • To address limitations of previous approaches by incorporating nonlinear and sexually dimorphic growth patterns.
  • To provide a reliable alternative for HC measurement when direct tape measurements are not feasible.

Main Methods:

  • Established normative HC growth curves for males and females based on published data.

Related Experiment Videos

  • Adapted a linear estimation method using magnetic resonance (MR) imaging data from 90 subjects (0-18 years).
  • Validated the model prospectively by comparing estimated HC with HC measurements from computed tomography (CT) scans.
  • Main Results:

    • The developed model accurately estimates head circumference (HC) from imaging studies.
    • Prospective validation showed no significant difference between estimated and measured HC values (p=0.416 overall).
    • The model demonstrated reliable accuracy for both female (p=0.615) and male (p=0.066) subjects.

    Conclusions:

    • Head circumference (HC) can be reliably estimated indirectly from medical imaging.
    • The proposed model is highly predictive of direct HC tape measurements.
    • This method offers physicians and researchers a dependable tool for obtaining HC data when direct measurement is impractical.