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

Analyser-based mammography using single-image reconstruction.

Dahliyani Briedis1, Karen K W Siu, David M Paganin

  • 1School of Physics, Monash University, Victoria 3800, Australia.

Physics in Medicine and Biology
|July 21, 2005
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

On optimisation of Paganin's method for propagation-based X-ray phase-contrast imaging and tomography.

Journal of microscopy·2026
Same author

Criteria for selecting the Paganin-filter reconstruction parameter in X-ray phase-contrast tomography.

Journal of synchrotron radiation·2026
Same author

Demonstration of a family of X-ray dark-field retrieval approaches on a common set of samples.

Journal of synchrotron radiation·2026
Same author

Active wave-particle clusters.

Physical review. E·2026
Same author

Quantitative Stain Mapping in X-Ray Virtual Histology.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Signal-to-noise and spatial resolution in in-line imaging. 3. Optimization using a simple model.

Journal of synchrotron radiation·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
Same journal

Corrigendum: Measured and Monte Carlo simulated electron backscatter to the monitor chamber for the varian TrueBeam linac (2016<i>Phys. Med. Biol</i>.<b>61</b>8779).

Physics in medicine and biology·2026
Same journal

Corrigendum: 3D range-modulator for scanned particle therapy: development, Monte Carlo simulations and experimental evaluation (2017<i>Phys. Med. Biol</i>.<b>62</b>7075).

Physics in medicine and biology·2026
Same journal

Recent progress in applications of computing to radiotherapy (ICCR 2016).

Physics in medicine and biology·2026
Same journal

Novel TMS coils designed using an inverse boundary element method.

Physics in medicine and biology·2026
See all related articles

We developed an algorithm to convert x-ray phase-contrast images into absorption-contrast radiographs. This method enhances image interpretability and shows promise for improved mammogram quality, especially at lower radiation doses.

Area of Science:

  • Medical Imaging
  • X-ray Physics
  • Computational Imaging

Background:

  • Analyser-based x-ray phase-contrast imaging offers potential advantages over conventional absorption-contrast radiography.
  • Phase-contrast images often suffer from directional and edge biases, limiting direct interpretation.
  • Reconstructing absorption-contrast images from phase-contrast data can improve diagnostic utility.

Purpose of the Study:

  • To develop and validate an algorithm for converting single analyser-based x-ray phase-contrast images into equivalent absorption-contrast radiographs.
  • To assess the image quality and diagnostic performance of the reconstructed images compared to conventional mammography.

Main Methods:

  • An algorithm was implemented to reconstruct absorption-contrast radiographs from single x-ray phase-contrast images.

Related Experiment Videos

  • The algorithm assumes the projection approximation for x-ray propagation in single-material objects.
  • The technique was tested on a mammography phantom imaged with synchrotron phase-contrast, synchrotron slot-scanning, and conventional mammography.

    • Main Results:

    • The reconstructed absorption-contrast images were directly interpretable in terms of projected absorption coefficients.
    • The single-image reconstruction method achieved higher quality scores than conventional mammography at equivalent and lower doses.
    • No improvement in microcalcification visualization was observed, and filament feature quality degraded at reduced doses.

    Conclusions:

    • The developed algorithm successfully converts analyser-based x-ray phase-contrast images to interpretable absorption-contrast radiographs.
    • The method demonstrates potential for improving mammogram quality and reducing radiation dose.
    • Further optimization is needed for visualizing microcalcifications and fine filament features at low doses.