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

Risk of new endocrinological deficits after intraoperative MRI-guided additional resection in endoscopic non-functioning pituitary adenoma surgery.

Pituitary·2026
Same author

Radiomics for Preoperative Assessment of Pituitary Adenoma Consistency with T2-Weighted MRI: A Multicenter Study.

Journal of neurological surgery. Part B, Skull base·2026
Same author

Clinical Implementation and Oncological Relevance of Molecular Profiling in Brain Metastases Patients-A Multicenter Retrospective Cohort Study.

International journal of cancer·2026
Same author

Optimizing Surgical Trajectories to the Petroclival Region: Anatomic Predictors and Access Enhancement With Modified Contralateral Transmaxillary Approaches.

Operative neurosurgery (Hagerstown, Md.)·2026
Same author

Craniometric Anatomy of the Middle Meningeal Artery Bifurcation With Relevance for Simultaneous Surgical Occlusion in Chronic Subdural Hematoma.

Operative neurosurgery (Hagerstown, Md.)·2026
Same author

What is the best surgical approach for Pineal Region Tumors? A systematic literature review and anatomical comparative study.

Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery·2026

Related Experiment Video

Updated: Jun 4, 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

7.0K

Quantitative Neuroanatomical Measurement on Photogrammetric Model: Validation Study.

Amedeo Piazza1, Jacopo Bellomo2, Sergio Corvino3

  • 1Department of Neurosurgery, Sapienza University of Rome, Rome, Italy; Laboratory of Neuroscience, European Biomedical Research Institute of Salerno Foundation, Salerno, Italy.

World Neurosurgery
|December 19, 2024
PubMed
Summary

Photogrammetry offers an accurate and reliable method for quantitative analysis in neuroanatomy. This study validates its use for precise measurements on dry skulls, providing a cost-effective alternative to traditional imaging techniques.

Keywords:
NeuroanatomyPhotogrammetryQuantitative analysisSkull baseSurgical corridor

More Related Videos

Semi-Quantitative Determination of Dopaminergic Neuron Density in the Substantia Nigra of Rodent Models using Automated Image Analysis
06:09

Semi-Quantitative Determination of Dopaminergic Neuron Density in the Substantia Nigra of Rodent Models using Automated Image Analysis

Published on: February 2, 2021

4.4K
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.6K

Related Experiment Videos

Last Updated: Jun 4, 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

7.0K
Semi-Quantitative Determination of Dopaminergic Neuron Density in the Substantia Nigra of Rodent Models using Automated Image Analysis
06:09

Semi-Quantitative Determination of Dopaminergic Neuron Density in the Substantia Nigra of Rodent Models using Automated Image Analysis

Published on: February 2, 2021

4.4K
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.6K

Area of Science:

  • Neuroanatomy
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Microsurgical neuroanatomy requires precise measurements.
  • Traditional methods like CT scans are expensive and time-consuming.
  • Photogrammetry presents a potential alternative for quantitative analysis.

Purpose of the Study:

  • To compare the accuracy of photogrammetry with direct measurements on dry skulls.
  • To assess the feasibility of photogrammetry for microsurgical neuroanatomy.
  • To validate photogrammetry as a quantitative analysis tool.

Main Methods:

  • Two dry human skulls were scanned using a smartphone.
  • Three-dimensional models were created using two different software.
  • 41 anatomical measurements were taken directly and from models.
  • Measurement error, reliability, and agreement were analyzed.

Main Results:

  • Photogrammetric models showed similar errors to direct measurements.
  • Digital models demonstrated high intrarater and interrater reliability.
  • Agisoft Metashape models had a mean difference of 0.01 cm with no bias.
  • Metascan app models showed a mean difference of -0.35 cm with proportional bias.

Conclusions:

  • Photogrammetry is a validated quantitative analysis technique for neuroanatomy.
  • It offers acceptable error, high reliability, and good agreement with direct measurements.
  • Photogrammetry can replace costly methods like CT scans and neuronavigation.