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 Videos

[3-dimensional craniofacial computerized tomography].

R S Pozzi Mucelli, F Stacul, R L Smathers

    La Radiologia Medica
    |June 1, 1986
    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

    Intra- and inter-reader agreement of the Node-RADS v1.0 score for axillary lymph node assessment on preoperative breast MRI.

    Clinical imaging·2026
    Same author

    Chest computed tomography of trastuzumab-deruxtecan (T-DXd)-related interstitial lung disease: Key points for radiologists.

    European journal of radiology·2025
    Same author

    Machine-learning tool for classifying pulmonary hypertension via expert reader-provided CT features: An educational resource for non-dedicated radiologists.

    European journal of radiology·2025
    Same author

    Preparing radiology residents for breast MRI: A dual-site, resident-as-teacher feasibility project.

    European journal of radiology·2024
    Same author

    Assessing the impact of structured reporting on learning how to report lung cancer staging CT: A triple cohort study on inexperienced readers.

    European journal of radiology·2024
    Same author

    Structured report for chest high-resolution computed tomography in patients with connective tissue disease: Impact on the report quality as perceived by referring clinicians.

    European journal of radiology·2020
    Same journal

    Diagnostic performance of bpMRI versus mpMRI and AI-assisted bpMRI in prostate cancer detection: a multi-reader study.

    La Radiologia medica·2026
    Same journal

    A novel deep learning-based grading system for assessing breast arterial calcification on mammograms, as an independent risk factor for predicting adverse cardiovascular events.

    La Radiologia medica·2026
    Same journal

    Retraction Note: Deep learning-accelerated image reconstruction in back pain-MRI imaging: reduction of acquisition time and improvement of image quality.

    La Radiologia medica·2026
    Same journal

    Can we use MRI for timing estimation of rotator cuff tears?

    La Radiologia medica·2026
    Same journal

    Assessing the clinical reliability of deep learning for vertebral fracture detection: a two-surgeon commentary.

    La Radiologia medica·2026
    Same journal

    Pancreatic cystic lesions: position paper of the SIRM-AISP multidisciplinary group.

    La Radiologia medica·2026
    See all related articles

    Computed tomography enables three-dimensional (3D) imaging for cranio-facial pathology. This study highlights 3D imaging

    Area of Science:

    • Radiology
    • Medical Imaging
    • Craniofacial Medicine

    Background:

    • Computed tomography (CT) is pivotal in modern diagnostics.
    • Reconstructing three-dimensional (3D) images from axial scans offers advanced visualization.
    • Craniofacial pathology requires precise anatomical assessment.

    Purpose of the Study:

    • To report on the utility of 3D CT imaging in diagnosing and managing craniofacial pathologies.
    • To evaluate different software capabilities for 3D reconstruction.
    • To explore the applications of 3D imaging in surgical and therapeutic planning.

    Main Methods:

    • Utilized computed tomography (CT) to acquire axial scans.
    • Reconstructed three-dimensional (3D) images using two distinct software packages.

    Related Experiment Videos

  • One software allowed for simultaneous reconstruction of soft tissue and bone structures.
  • Analyzed applications in maxillo-facial traumas, malformations, and head tumors.
  • Main Results:

    • 3D CT imaging significantly enhances visualization of craniofacial structures.
    • Spatial demonstration of lesions is greatly improved.
    • Software capable of reconstructing both soft tissue and bone offers comprehensive anatomical detail.
    • Demonstrated utility across various craniofacial conditions.

    Conclusions:

    • Three-dimensional (3D) computed tomography (CT) imaging is highly beneficial for craniofacial pathology.
    • Offers superior visualization and spatial understanding of lesions.
    • Has significant potential for guiding craniofacial surgery and radiotherapy planning.