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

Compton scatter axial tomography with x-rays: SCAT-CAT.

L Brateman, A M Jacobs, L T Fitzgerald

    Physics in Medicine and Biology
    |November 1, 1984
    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

    Advancement of Photospheric Radius Expansion and Clocked Type-I X-Ray Burst Models with the New ^{22}Mg(α,p)^{25}Al Reaction Rate Determined at the Gamow Energy.

    Physical review letters·2021
    Same author

    Following in Jakobson and Lévi-Strauss' footsteps: A neurocognitive poetics investigation of eye movements during the reading of Baudelaire's 'Les Chats'.

    Journal of eye movement research·2021
    Same author

    Context matters: Anterior and posterior cortical midline responses to sad movie scenes.

    Brain research·2016
    Same author

    The neural bases of the pseudohomophone effect: Phonological constraints on lexico-semantic access in reading.

    Neuroscience·2015
    Same author

    A negative selection scheme for tobacco protoplast-derived cells expressing the T-DNA gene 2.

    Plant cell reports·2013
    Same author

    Word, pseudoword, and nonword processing: a multitask comparison using event-related brain potentials.

    Journal of cognitive neuroscience·2013
    Same journal

    Effective contrast-enhanced preprocessing for intracranial artery segmentation in digital subtraction angiography.

    Physics in medicine and biology·2026
    Same journal

    Improving Plan Quality in Adaptive Proton Therapy Using an Interactive Dose Modification Tool.

    Physics in medicine and biology·2026
    Same journal

    Technical Note: Real-Time MLC Control and Latency Measurement Optimization with External Verification.

    Physics in medicine and biology·2026
    Same journal

    Fetus-Specific Hematopoietic Stem Cell Dosimetry Framework for Leukemia-Relevant Target Cells During Prenatal Development.

    Physics in medicine and biology·2026
    Same journal

    Deep learning-based dose prediction to enhance planning efficiency in cervical brachytherapy with hybrid applicators.

    Physics in medicine and biology·2026
    Same journal

    Corrigendum: Referenceless MR thermometry-a comparison of five methods (2017<i>Phys. Med. Biol</i>.<b>62</b>1-16).

    Physics in medicine and biology·2026
    See all related articles

    This study introduces a new method to extract information from backscattered X-rays in computed tomography (CT). The technique accurately detects air gaps in phantoms, enhancing diagnostic capabilities for medical imaging.

    Area of Science:

    • Medical Physics
    • Radiological Imaging
    • Computational Modeling

    Background:

    • X-ray computed tomography (CT) traditionally relies on transmitted X-rays.
    • Backscattered X-rays contain rich information about material composition and structure.
    • Developing methods to utilize backscattered X-ray data can improve CT imaging.

    Purpose of the Study:

    • To present a novel method for extracting information from the backscattered X-ray field in parallel beam CT.
    • To develop and validate a calculational model for predicting backscattered fields based on Compton scattering.
    • To demonstrate the application of this method for imaging phantom structures.

    Main Methods:

    • A Compton scattering model was developed to predict backscattered X-ray fields.

    Related Experiment Videos

  • Simple phantoms (polymethylmethacrylate with air gaps and aluminum rods) were used for model verification.
  • A scanning assembly (SCAT-CAT) with transmission and scatter detectors was employed.
  • A novel method using ratios of scatter signals from uniform to non-uniform phantoms was developed.
  • Reconstruction algorithms were applied to scattered field data to create images.

    • Main Results:

    • The Compton scattering model was successfully verified by phantom measurements.
    • The developed method demonstrated high sensitivity to air gaps due to electron density differences.
    • The method showed lower sensitivity to internal aluminum rods.
    • Reconstructed images accurately represented phantom structures, particularly air gaps.
    • A preferred reconstruction method was identified for scattered field data.

    Conclusions:

    • The presented method effectively extracts valuable information from backscattered X-rays in CT.
    • This technique shows promise for enhanced material characterization and defect detection in CT imaging.
    • The sensitivity to electron density variations highlights potential applications in identifying specific materials or voids.