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 Video

Updated: Jun 7, 2026

Quantitative Assessment Protocol for Facial Soft Tissue Volumetric Changes with Stereophotogrammetry
06:26

Quantitative Assessment Protocol for Facial Soft Tissue Volumetric Changes with Stereophotogrammetry

Published on: December 9, 2025

Standardized evaluation methodology for 3D/2D registration based on the Visible Human data set.

Primoz Markelj1, Bostjan Likar, Franjo Pernus

  • 1Faculty of Electrical Engineering, University of Ljubljana, Trzaska 25, 1000 Ljubljana, Slovenia. primoz.markelj@fe.uni-lj.si

Medical Physics
|October 23, 2010
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

Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction models.

Computers in biology and medicine·2024
Same author

Deep geometric learning for intracranial aneurysm detection: towards expert rater performance.

Journal of neurointerventional surgery·2023
Same author

Extensive T1-weighted MRI Preprocessing Improves Generalizability of Deep Brain Age Prediction Models.

bioRxiv : the preprint server for biology·2023
Same author

MCDataset: a public reference dataset of Monte Carlo simulated quantities for multilayered and voxelated tissues computed by massively parallel PyXOpto Python package.

Journal of biomedical optics·2022
Same author

Deep Shape Features for Predicting Future Intracranial Aneurysm Growth.

Frontiers in physiology·2021
Same author

Fast and accurate Monte Carlo simulations of subdiffusive spatially resolved reflectance for a realistic optical fiber probe tip model aided by a deep neural network.

Biomedical optics express·2020
Same journal

Correction to "On the shape of the radiation survival curve in tumor spheroids: The role of oxygen heterogeneity".

Medical physics·2026
Same journal

Multi-view constrained semi-supervised vertebra detection for 3D ultrasound spine volume.

Medical physics·2026
Same journal

Accuracy of quantitative <sup>177</sup>Lu SPECT/CT imaging: A systematic review.

Medical physics·2026
Same journal

Physics-constrained dual-domain network for CBCT reconstruction from orthogonal X-rays in gynecologic radiotherapy.

Medical physics·2026
Same journal

Decomposition-based harmonization for quantitative PET imaging across scanners and radiotracers.

Medical physics·2026
Same journal

Development and evaluation of an in vivo dose-based monitoring system for electron FLASH radiation therapy.

Medical physics·2026
See all related articles

A new image database and evaluation method enable objective comparison of 3D/2D registration techniques. This approach simplifies accuracy assessment by analyzing registration error distributions, eliminating the need for failure criteria.

Area of Science:

  • Medical Imaging
  • Computer-Aided Surgery
  • Image Analysis

Background:

  • Accurate three-dimensional/two-dimensional (3D/2D) registration is crucial for image-guided interventions.
  • Existing evaluation methods often lack standardization, hindering objective comparison of different registration algorithms.

Purpose of the Study:

  • Introduce a novel image database and a standardized evaluation methodology for objective comparison of 3D/2D registration methods.
  • Provide a framework for reproducible and unbiased assessment of registration algorithm performance.

Main Methods:

  • Utilized Computed Tomography (CT) data from the Visible Human Project to create a dataset of 16 subvolumes.
  • Rendered synthetic 2D fluoroscopic X-ray images from CT data, incorporating simulated anatomical structures and a 13-gauge needle.

Related Experiment Videos

Last Updated: Jun 7, 2026

Quantitative Assessment Protocol for Facial Soft Tissue Volumetric Changes with Stereophotogrammetry
06:26

Quantitative Assessment Protocol for Facial Soft Tissue Volumetric Changes with Stereophotogrammetry

Published on: December 9, 2025

  • Developed a standardized evaluation methodology assessing accuracy, reliability, robustness, and algorithm complexity.

    • Main Results:

    • Demonstrated the utility of the dataset and methodology through an evaluation of two gradient-based 3D/2D registration methods.
    • Showed that registration accuracy and reliability can be determined from the distribution of registration errors, obviating the need for a separate failure criterion.

    Conclusions:

    • The proposed simulated image dataset offers realistic synthetic 2D images suitable for preliminary testing of 3D/2D registration algorithms.
    • The standardized evaluation methodology facilitates objective comparison and unbiased assessment of 3D/2D registration methods.
    • The methodology and dataset are valuable resources for advancing the field of medical image registration.