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

Efficient Synthesis of N-Bridged Annulenes.

Journal of the American Chemical Society·2026
Same author

Real-time patient-specific microwave ablation zone prediction via a unified bioheat solver and MRI-informed perturbation learning.

Medical image analysis·2026
Same author

Neoadjuvant retlirafusp alfa (anti-PD-L1/TGF-β bifunctional fusion protein) with or without chemotherapy in unresectable stage III non-small cell lung cancer: updated results from the phase 2 TRAILBLAZER trial.

Signal transduction and targeted therapy·2026
Same author

Multimodal voxel-wise of structural and functional brain alterations across the cerebral small vessel disease spectrum.

Neuroradiology·2026
Same author

Sintilimab plus concurrent chemoradiotherapy for treatment of locally advanced small cell lung cancer (SINCE-01): a phase II clinical trial.

Signal transduction and targeted therapy·2026
Same author

Iron-mediated reactions of gem-dihaloalkanes with α,β-unsaturated carbonyl compounds.

Chemical science·2026

Related Experiment Video

Updated: Apr 16, 2026

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
08:17

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Published on: June 7, 2015

16.3K

Accelerated gradient-based free form deformable registration for online adaptive radiotherapy.

Gang Yu1, Yueqiang Liang, Guanyu Yang

  • 1Laboratory of Image Science and Technology, Southeast University, Nanjing 210096, People's Republic of China. Department of Radiation Oncology, Shandong Cancer Hospital, Jinan, People's Republic of China.

Physics in Medicine and Biology
|March 14, 2015
PubMed
Summary

This study introduces a new gradient-based free form deformation (GFFD) algorithm for accurate registration of fan-beam CT (FBCT) and cone-beam CT (CBCT) in adaptive radiation therapy, overcoming intensity inaccuracies.

More Related Videos

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
05:18

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

2.1K
Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
07:57

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Published on: March 24, 2022

3.4K

Related Experiment Videos

Last Updated: Apr 16, 2026

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
08:17

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Published on: June 7, 2015

16.3K
Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
05:18

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

2.1K
Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
07:57

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Published on: March 24, 2022

3.4K

Area of Science:

  • Medical Physics
  • Image Registration
  • Radiation Therapy

Background:

  • Accurate registration of planning fan-beam CT (FBCT) and daily cone-beam CT (CBCT) is essential for adaptive radiation therapy.
  • Intensity-based registration algorithms often fail due to CT number inaccuracies in CBCT, which do not precisely correspond to electron densities.

Purpose of the Study:

  • To investigate the impact of CBCT intensity inaccuracy on registration accuracy.
  • To develop and validate an accurate gradient-based free form deformation (GFFD) algorithm for FBCT-CBCT registration.

Main Methods:

  • Developed GFFD algorithm utilizing 3D gradient vector fields to mitigate intensity inconsistencies.
  • Incorporated local polynomial approximation-intersection of confidence intervals (LPA-ICI) for image sampling anisotropy.
  • Implemented a 'bi-directional' force with adaptive strength adjustment to enhance convergence.
  • Utilized graphics processing units (GPU) via OpenCL for efficient implementation.

Main Results:

  • The GFFD algorithm demonstrates improved registration accuracy and robustness despite CBCT intensity variations.
  • Registration time for GFFD ranges from 8 to 13 seconds per CT dataset.
  • The algorithm was applied to on-line adaptive image-guided radiation therapy applications.

Conclusions:

  • The GFFD algorithm effectively addresses CBCT intensity inaccuracies, enhancing registration for adaptive radiation therapy.
  • The GPU implementation ensures clinically feasible processing times.
  • This method holds promise for improving auto-propagation of contours, aperture optimization, and DVH analysis in radiation therapy.