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

3.8K
3.8K

You might also read

Related Articles

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

Sort by
Same author

Bacterial mRNA Vaccines: Programming Immunity Against Antimicrobial Resistance.

Drug development research·2026
Same author

Personalizing adjuvant radiotherapy decisions in breast cancer: an externally test MRI radiomics approach for recurrence risk stratification.

Radiation oncology (London, England)·2026
Same author

Melatonin Alleviates Graft Biliary Fibrosis by Inhibiting VIM<sup>+</sup> Cholangiocyte Subcluster via Hypoxia/TGF-β-CREM-VIM Axis.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Scalable Aqueous Polymerization Via Nanoconfinement Effect Generating Two-Dimensional Polymers With Excitation-Dependent Clusteroluminescence.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Self-supervised T2WI-bridged framework for liver segmentation and PDFF prediction from US images.

IEEE transactions on medical imaging·2026
Same author

A Multi-omics Investigation Identifies TACC3 as a Driver of Immunosuppression in Intrahepatic Cholangiocarcinoma via Activation of the STAT3-PD-L1 Axis.

Journal of clinical and translational hepatology·2026

Related Experiment Video

Updated: Mar 26, 2026

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

8.6K

A CNN Regression Approach for Real-Time 2D/3D Registration.

Shun Miao, Z Jane Wang, Rui Liao

    IEEE Transactions on Medical Imaging
    |February 2, 2016
    PubMed
    Summary

    This study introduces a novel Convolutional Neural Network (CNN) regression method for 2-D/3-D image registration. The approach significantly improves computation speed and capture range, overcoming key limitations of current technologies.

    Area of Science:

    • Medical Imaging
    • Computer Vision
    • Machine Learning

    Background:

    • Existing intensity-based 2-D/3-D registration methods suffer from slow computation and limited capture range.
    • These limitations hinder real-time clinical applications requiring precise image alignment.

    Purpose of the Study:

    • To develop a faster and more robust 2-D/3-D registration technique.
    • To overcome the limitations of existing intensity-based registration methods.

    Main Methods:

    • A Convolutional Neural Network (CNN) regression approach directly estimates transformation parameters.
    • Automatic feature extraction generates 3-D pose-indexed features.
    • Hierarchical training of CNN regressors for local zones and weight sharing reduces complexity and memory footprint.

    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

    1.8K
    Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
    07:05

    Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

    Published on: October 27, 2016

    9.7K

    Related Experiment Videos

    Last Updated: Mar 26, 2026

    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

    8.6K
    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

    1.8K
    Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
    07:05

    Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

    Published on: October 27, 2016

    9.7K

    Main Results:

    • The proposed CNN regression method achieves highly accurate real-time 2-D/3-D registration.
    • Demonstrated significant improvements in computation speed and capture range compared to traditional methods.
    • Validated on three clinical applications.

    Conclusions:

    • The CNN regression approach offers a substantial advancement in 2-D/3-D image registration technology.
    • Enables accurate and efficient real-time image alignment for clinical use.
    • Addresses critical limitations of existing registration techniques.