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

[Reirradiation: A new therapeutic paradigm in oncology].

Bulletin du cancer·2026
Same author

Study Protocol of OLIGOPELVIS 2-GETUG P12: A Randomized Phase 3 Study Comparing Intermittent Androgen-deprivation Therapy with or Without Salvage High-dose Intensity-modulated Radiotherapy to Oligorecurrent Pelvic and Para-aortic Lymph Nodes in Patients with Biochemically Relapsing Prostate Cancer.

European urology oncology·2026
Same author

Magnetic resonance imaging-guided radiotherapy for prostate cancer: A systematic review of the literature.

Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique·2026
Same author

Normative T<sub>1</sub> and T<sub>2</sub> Brain Atlases Across the Adult Lifespan in a Chinese Cohort: Multicenter Quantitative MRI Benchmarks for Ageing and Neurodegenerative Research.

Human brain mapping·2026
Same author

Introducing a translationally relevant mouse model of radiosurgery-induced unilateral hearing loss.

Frontiers in neuroscience·2026
Same author

OLIGOPELVIS 2-GETUG P12- elective nodal radiotherapy for oligorecurrent pelvic/para-aortic nodes in prostate cancer: early toxicity of a randomized phase 3 trial.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology·2026

Related Experiment Video

Updated: May 7, 2026

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

1.8K

Automatic prostate segmentation in cone-beam computed tomography images using rigid registration.

Christine Boydev, David Pasquier, Foued Derraz

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 11, 2013
    PubMed
    Summary
    This summary is machine-generated.

    This study evaluated automatic registration methods for prostate localization on cone-beam CT scans. Local registration with an 8-mm margin after bone registration significantly improved prostate localization accuracy.

    More Related Videos

    Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans
    10:23

    Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans

    Published on: September 8, 2023

    4.0K
    Automated Joint Space Detection Improves Bone Segmentation Accuracy
    06:45

    Automated Joint Space Detection Improves Bone Segmentation Accuracy

    Published on: November 28, 2025

    373

    Related Experiment Videos

    Last Updated: May 7, 2026

    Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
    05:49

    Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

    Published on: February 23, 2024

    1.8K
    Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans
    10:23

    Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans

    Published on: September 8, 2023

    4.0K
    Automated Joint Space Detection Improves Bone Segmentation Accuracy
    06:45

    Automated Joint Space Detection Improves Bone Segmentation Accuracy

    Published on: November 28, 2025

    373

    Area of Science:

    • Medical Imaging
    • Radiation Oncology
    • Image Registration

    Background:

    • Accurate prostate localization is crucial for effective radiation therapy.
    • Cone-beam computed tomography (CBCT) is used for image-guided radiation therapy (IGRT).
    • Automatic registration methods are needed to improve efficiency and accuracy.

    Purpose of the Study:

    • To evaluate different automatic 3D gray-value rigid registration (RR) methods for prostate localization on CBCT.
    • To determine the optimal registration strategy for improving prostate localization accuracy.

    Main Methods:

    • 103 CBCT scans from 9 prostate cancer patients were analyzed.
    • Scans were registered to planning CT scans using global RR, bone RR, or bone RR refined by local soft-tissue RR with varying margins (1-20 mm) around the clinical target volume (CTV).
    • Dice coefficients were calculated between automatic and manual CTV delineations on CBCT by a radiation oncologist.

    Main Results:

    • Global or bone-only registration yielded insufficient prostate localization accuracy.
    • Local registration, refining bone registration with soft-tissue information and an 8-mm margin around the CTV, demonstrated the best performance.
    • This method significantly improved systematic prostate localization.

    Conclusions:

    • Automatic rigid registration methods require careful selection and parameter tuning for optimal performance.
    • Local rigid registration with an 8-mm margin following bone registration is a promising strategy for accurate prostate localization on CBCT.
    • This approach has the potential to enhance the precision of image-guided radiation therapy for prostate cancer.