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

Improving Translational Accuracy02:07

Improving Translational Accuracy

8.7K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
8.7K
Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

46
The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
46

You might also read

Related Articles

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

Sort by
Same author

Callus formation during healing is guided by local strain: a retrospective clinical observation.

BMC musculoskeletal disorders·2026
Same author

Uncertainty estimation and probabilistic skull shape reconstruction using bayesian neural networks.

Scientific reports·2026
Same author

Whole-body vibration decreases pain and cartilage degeneration in male and female mice with osteoarthritis.

Pain reports·2026
Same author

Machine Learning-Based Estimation of Knee Joint Mechanics from Kinematic and Neuromuscular Inputs: A Proof-of-Concept Using the CAMS-Knee Datasets.

Bioengineering (Basel, Switzerland)·2026
Same author

Surgical approaches, choice and positioning of implants in the surgical treatment of proximal tibia fractures in adults: a scoping review protocol.

BMJ open·2026
Same author

Computational Insights into Root Canal Treatment: A Survey of Selected Methods in Imaging, Segmentation, Morphological Analysis, and Clinical Management.

Dentistry journal·2025

Related Experiment Video

Updated: Jun 4, 2025

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
05:05

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

7.9K

Comparison of global and local optimization methods for intensity-based 2D-3D registration.

Marko Leskovar1, Mark Heyland2, Adam Trepczynski2

  • 1Zuse Institute Berlin, Takustraße 7, Berlin, 14195, Germany.

Computers in Biology and Medicine
|December 31, 2024
PubMed
Summary

Global optimization methods enhance 2D-3D image registration accuracy in medical imaging. Evolutionary strategy (ES) proved most robust, significantly improving success rates for aligning X-rays with CT scans.

Keywords:
2D–3D registrationBi-planar fluoroscopyComputed tomographyGlobal optimizationHyperparameter tuningIntensity-based registrationX-ray imaging

More Related Videos

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

1.0K
Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
02:09

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

Published on: April 12, 2024

530

Related Experiment Videos

Last Updated: Jun 4, 2025

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
05:05

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

7.9K
Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

1.0K
Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
02:09

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

Published on: April 12, 2024

530

Area of Science:

  • Medical Imaging
  • Computer Vision
  • Biomedical Engineering

Background:

  • Intensity-based 2D-3D registration aligns 2D X-rays with 3D CT scans for research and therapy.
  • Local optimization methods often fail due to getting stuck in local minima, leading to inaccurate alignments.

Purpose of the Study:

  • To compare the performance of 11 global and 4 local optimization methods for 2D-3D image registration.
  • To identify the most effective optimization method and assess its clinical applicability.

Main Methods:

  • Evaluated 15 optimization methods (11 global, 4 local) on thousands of registration examples across three datasets.
  • Assessed method robustness, impact of hyperparameter tuning, and performance on clinical data.

Main Results:

  • Global optimization methods, particularly those with high function evaluations, demonstrated superior robustness.
  • Evolutionary strategy (ES) achieved the highest success rates (∼95% overall, ∼77% for knee bones, ∼95-100% for angiograms).
  • Hyperparameter tuning enhanced performance and generalizability; local methods remain efficient with good initialization.

Conclusions:

  • Global optimization significantly improves the robustness and usability of 2D-3D registration.
  • ES is the top-performing method, with potential to accelerate clinical adoption.
  • Optimized global methods offer a more reliable solution for medical image alignment.