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

An extended diffraction-enhanced imaging method for implementing multiple-image radiography.

Cheng-Ying Chou1, Mark A Anastasio, Jovan G Brankov

  • 1Department of Biomedical Engineering, Illinois Institute of Technology, 10 West 32nd Street, E1-116, Chicago, IL 60616, USA.

Physics in Medicine and Biology
|March 22, 2007
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

Beyond Algorithms: Conceptual Innovation in Medical Imaging AI.

ArXiv·2026
Same author

Application of learned ideal observers for estimating task-based performance bounds for computed imaging systems.

Journal of medical imaging (Bellingham, Wash.)·2026
Same author

Observer-usable Information as a Task-specific Image Quality Metric.

IEEE transactions on medical imaging·2026
Same author

A Taxonomy of Machine Hallucination in Radiology.

Radiology. Artificial intelligence·2026
Same author

Benchmarking Deep Learning-Based Reconstruction Methods for Photoacoustic Computed Tomography with Clinically Relevant Synthetic Datasets.

ArXiv·2026
Same author

A Learning-based Framework for Spatial Impulse Response Compensation in 3D Photoacoustic Computed Tomography.

ArXiv·2026
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 an enhanced Diffraction-Enhanced Imaging (DEI) method to accurately capture x-ray absorption, refraction, and ultra-small-angle x-ray scattering (USAXS) properties, improving medical imaging accuracy.

Area of Science:

  • Medical Imaging
  • X-ray Optics
  • Materials Science

Background:

  • Diffraction-Enhanced Imaging (DEI) is an analyser-based x-ray imaging technique.
  • DEI separates images of projected x-ray absorption and refractive properties.
  • Current DEI models do not account for ultra-small-angle x-ray scattering (USAXS), leading to artifacts in medical imaging.

Purpose of the Study:

  • To investigate an extended DEI method for concurrent reconstruction of absorption, refraction, and USAXS properties.
  • To address inaccuracies in medical imaging caused by DEI's exclusion of USAXS.
  • To implement the multiple-image radiography paradigm for enhanced DEI.

Main Methods:

  • Developed an extended DEI method for simultaneous reconstruction of three image types.

Related Experiment Videos

  • Utilized computer-simulated data for validation.
  • Employed synchrotron measurement data for further validation.
  • Main Results:

    • The extended DEI method successfully reconstructs absorption, refraction, and USAXS properties concurrently.
    • Validation studies confirmed the method's capability to reduce artifacts.
    • The new approach aligns with the multiple-image radiography paradigm.

    Conclusions:

    • The extended DEI method offers improved accuracy in x-ray imaging by incorporating USAXS.
    • This advancement has significant potential for enhancing medical imaging applications.
    • The method provides a more comprehensive understanding of object properties through multi-modal x-ray imaging.